Type | Journal Article |
---|---|
Author | Armando Cartenì |
Author | Vittorio Marzano |
Author | Ilaria Henke |
Author | Ennio Cascetta |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21003668 |
Volume | 116 |
Pages | 386-398 |
Publication | Transport Policy |
Date | February 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.12.013 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Decision-making processes related to transportation systems are often very complex, belonging to the class of “wicked problems” in social studies. The literature and the media abound in examples of transportation planning “failures” including decisions made, delayed or withdrawn without any traceable motivations, public opposition, public opposition, extra costs/implementation times and outright cancellation, wrong traffic/revenue forecasts. Planning failures stem from several causes, including technical errors in forecasting predictable effects, lack of consensus, new governance cycles and inability to recognize the intrinsic uncertainty affecting some key variables. The underlying assumption of this paper is that the quality of the decision-making process critically depends on how the process is structured and managed. The paper proposes a conceptual model to represent and organize transport planning as a cognitive decision-making process with strong involvement of different stakeholders in various stages, accounting for different levels of uncertainty and including short- and long-term decisions options. The result is a planning process that allows for changes in objectives, strategies and decisions during different stages of the process itself, as is usually the case when different governance and socio-economic cycles succeed over time. However, the process maintains a form of procedural consistency and is intended to counteract the “Penelope syndrome”, whereby decisions made under previous governance cycles are undone regardless of their merits and costs. The real-life implementation of the proposed model requires strong “political commitment” to an open and accountable decision-making process, a technical structure able to act as “process owner” coordinating technical and engagement activities, and a general societal attitude towards organized participation to public decision making. The proposed model was applied to the Regional Transportation Plan of Veneto in Italy where the above conditions applied. A number of lessons were learnt from that exercise: i) stakeholders’ engagement revealed an important potential to manage uncertainty and increase consensus; ii) flexibility and robustness with respect to medium–to–high uncertainty levels already recognized at the time of the plan (immediately before the COVID-19 crisis) were an appreciated feature of the plan; iii) separation between mature decisions and those needing further analysis was a success strategy, reducing political “decision costs” (from naysaying) by delaying decisions still recognizing underlying needs; iv) reduced decision time (a largely bi-partisan vote in less than one year). |
Date Added | 1/13/2022, 9:32:39 AM |
Type | Journal Article |
---|---|
Author | Keunhyun Park |
Author | Brent Chamberlain |
Author | Ziqi Song |
Author | Hossein Nasr Esfahani |
Author | Jeff Sheen |
Author | Teresa Larsen |
Author | Valerie Long Novack |
Author | Carlos Licon |
Author | Keith Christensen |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421003220 |
Volume | 156 |
Pages | 24-35 |
Publication | Transportation Research Part A: Policy and Practice |
Date | February 1, 2022 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.12.008 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic response has had a significant impact on the general population’s ability to participate in their communities. Individuals with disabilities, an already socially disadvantaged population, are more vulnerable to and have likely been disproportionately impacted by COVID-19 response conditions. Yet, the extent to which the daily community living activities of people with disabilities have been impacted is unknown. Thus, this study assesses their travel behavior and community living during the COVID-19 pandemic conditions compared with those of the general population. A web survey was conducted using Qualtrics’s online panel data (respondents included 161 people with any type of disability and 232 people without a disability). Regression models found that people with disabilities reduced their daily travel to a greater extent but at varying degrees, depending on the destination types and travel modes. Reductions in taxi rides (including ride-hailing services) were most significant among people with cognitive and sensory (e.g., vision and hearing) disabilities. By place type, cognitive disability was associated with a trip reduction for multiple destination types—grocery, restaurants, outdoor recreation, indoor recreation, and healthcare providers. Findings from this study could contribute to decision- and policy-making in planning, transportation, and community services during the remainder of the COVID-19 pandemic, in future major public health crises, and post-COVID, because the adjustments in travel behavior and community living might be longer-term. |
Date Added | 2/4/2022, 9:49:09 AM |
Type | Journal Article |
---|---|
Author | Tian Chen |
Author | Yimu Zhang |
Author | Xinwu Qian |
Author | Jian Li |
URL | https://www.sciencedirect.com/science/article/pii/S0968090X2200033X |
Volume | 137 |
Pages | 103587 |
Publication | Transportation Research Part C: Emerging Technologies |
Date | April 1, 2022 |
Journal Abbr | Transportation Research Part C: Emerging Technologies |
DOI | 10.1016/j.trc.2022.103587 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Contact tracing is an effective measure by which to prevent further infections in public transportation systems. Considering the large number of people infected during the COVID-19 pandemic, digital contact tracing is expected to be quicker and more effective than traditional manual contact tracing, which is slow and labor-intensive. In this study, we introduce a knowledge graph-based framework for fusing multi-source data from public transportation systems to construct contact networks, design algorithms to model epidemic spread, and verify the validity of an effective digital contact tracing method. In particular, we take advantage of the trip chaining model to integrate multi-source public transportation data to construct a knowledge graph. A contact network is then extracted from the constructed knowledge graph, and a breadth-first search algorithm is developed to efficiently trace infected passengers in the contact network. The proposed framework and algorithms are validated by a case study using smart card transaction data from transit systems in Xiamen, China. We show that the knowledge graph provides an efficient framework for contact tracing with the reconstructed contact network, and the average positive tracing rate is over 96%. |
Date Added | 3/7/2022, 9:46:12 AM |
Type | Web Page |
---|---|
URL | https://www.cts.umn.edu/news/2022/march/supply |
Abstract | Transportation and supply chains are poised to become a central focus for Minnesota legislators this session. In a January forum, CTS and the U’s Transportation Policy and Economic Competitiveness (TPEC) Program convened experts to examine the businesses and supply chains that are key to Minnesota’s economy, with attention to the ongoing impacts of the COVID-19 pandemic. The forum was organized in response to interest from Representative Frank Hornstein, chair of the Minnesota House Transportation Finance and Policy Committee. |
Date Added | 3/3/2022, 10:07:59 AM |
Type | Journal Article |
---|---|
Author | Md Tabish Haque |
Author | Faiz Hamid |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001185 |
Volume | 162 |
Pages | 104-120 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-08-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.005 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The unprecedented spread of SARS-CoV-2 has pushed governmental bodies to undertake stringent actions like travel regulations, localized curfews, curb activity participation, etc. These restrictions assisted in controlling the proliferation of the virus; however, they severely affected major economies. This compels policymakers and planners to devise strategies that restrain virus spread as well as operationalize economic activities. In this context, we discuss some of the potential implications of seat inventory management in long-distance passenger trains and create a balance between operators’ operational efficiency and passengers’ safety. The paper introduces a novel seat assignment policy that aims to mitigate virus diffusion risk among passengers by reducing interaction among them. A mixed-integer linear programming problem has been formulated that concomitantly maximizes the operator’s revenue and minimizes virus diffusion. The validity of the model has been tested using real-life data obtained from Indian Railways. The computational results show that a mere 50% capacity utilization may distress operators’ economics and prove ineffectual in controlling SARS-CoV-2 transmission. The proposed model produces encouraging results in restricting virus diffusion and improving revenue even under 100% capacity utilization. |
Date Added | 7/21/2022, 9:29:40 AM |
Type | Report |
---|---|
Author | San Jose State University |
Author | Gordon Douglas |
Author | David Moore |
Author | San Jose State University |
URL | https://scholarworks.sjsu.edu/mti_publications/411/ |
Date | 07/2022 |
Extra | DOI: 10.31979/mti.2022.2152 |
Institution | Mineta Transportation Institute |
Library Catalog | DOI.org (Crossref) |
Language | en |
Abstract | This report presents the results of a mixed-methods study of the 2020-2022 Oakland Slow Streets program. An official response to the Covid-19 pandemic, the program used signs and temporary barricades to limit thru-traffic on 21 miles of city streets to create more and safer space for walking, cycling, and outdoor recreation. Researchers collected data throughout the summer of 2021 on seven designated slow streets plus one cross street and one control street for each – a total of 21 street segments representing conditions in seven different neighborhoods across Oakland. Data collection comprised in-person passerby counts, observations and photographs of local conditions, and logged traffic speed data. Findings vary widely across study sites. In certain cases, observed slow streets saw less car traffic or more bicycle/pedestrian use than one or both of their comparison streets, and in at least one case the slow street was clearly embraced by the local community and used as planners intended; in others the slow street was no different than neighboring streets. The study draws on these findings to identify local conditions that seem likely to make slow treet treatments more or less successful. However, acknowledging that all neighborhoods deserve safer streets and greater outdoor recreational opportunities, the authors argue that better community outreach must be implemented to ensure areas not predisposed to make full use of slow streets can have the opportunity to do so. The study also makes suggestions regarding the potential for rapid, low-cost bike and pedestrian street safety improvements going forward. |
Date Added | 8/23/2022, 11:07:35 AM |
Type | Journal Article |
---|---|
Author | Alireza Dianat |
Author | Jason Hawkins |
Author | Khandker Nurul Habib |
URL | https://www.sciencedirect.com/science/article/pii/S096585642200163X |
Volume | 162 |
Pages | 296-314 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-08-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.06.008 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 lockdown provided many individuals an opportunity to explore changes in their daily routines, particularly when considered in combination with an ever-changing Information and Communication Technology (ICT) landscape. These new routines and alternative activities have the potential to be continued in the post-COVID era. Transportation planners must understand how routines vary to effectively estimate activity-travel scheduling. The purpose of this study is to determine the influence of the COVID-19 pandemic lockdown on activity-travel behavior and the adoption of ICT-based alternative options. A special emphasis is placed on predicting the long-term effects of this disturbance on activity-travel scheduling. This study examines the changes in the frequency and mode of completing five of the most repetitious tasks in the daily schedule (working, grocery and non-grocery shopping, preparing/eating meals, and visiting family/friends) during the lockdown and immediately after reopening. We find an increased preference for home meal preparation over online ordering and a reluctance to engage in in-person shopping until a substantial proportion of the population has acquired a vaccination against the virus. Respondents prefer to work from home if they have adequate access to home office materials (e.g., desk, chair, computer monitor). Individuals with children must also consider suitable childcare before considering a return to work. |
Date Added | 7/21/2022, 9:30:47 AM |
Type | Journal Article |
---|---|
Author | Matthew J. Beck |
Author | David A. Hensher |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21001876 |
Volume | 128 |
Pages | 286-298 |
Publication | Transport Policy |
Date | 2022-11-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.06.006 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | While many countries have experienced more than one wave of the pandemic throughout 2020, Australia has been able to contain the virus in a way that makes it a stand out (with New Zealand) in the way that it has been contained, with an exception in Victoria linked to failed quarantine procedures for travellers returning from overseas. Through descriptive analysis, this paper builds on earlier papers by the authors on the Australian response, with a focus on the changing dynamics of travel activity, concern with public transport, and attitudes surrounding activity given the perception of risk of COVID-19 and the level of public support for regulatory intervention and restrictions on movement. We find that Australia continues to suppress travel, particularly that for commuting, that comfort in completing day-to-day activities continues to rise (with the exception of Victoria where confidence feel significantly), and while support for intervention measures remains high, there has been an erosion in sentiment. As with previous work, we discuss what this might mean for future transport policy, and attempt to draw lessons from the Australian experience. |
Date Added | 10/11/2022, 11:10:12 AM |
Type | Journal Article |
---|---|
Author | Matthew J. Beck |
Author | David A. Hensher |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21001864 |
Volume | 128 |
Pages | 274-285 |
Publication | Transport Policy |
Date | 2022-11-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.06.005 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This paper (Part 2 in the paper series), building on earlier studies examining the Australian response, extends on findings related to travel activity, commuting, and attitudes towards COVID-19 measures (Part 1 in the paper series). In this paper we focus in detail on the impact of, and experiences with, working from home (WFH), perhaps the largest of the positive unintended consequence of the pandemic, with respect to transport, and a key lens through which the changing patterns in travel activity and attitudes discussed in Part 1 need to be understood. We conclude that through the widespread adoption of WFH as a result of nationwide public health orders, there is evidence emerging that WFH is now seen as an appealing instrument of change by employees and employers, there is growing support to continue to support WFH into the future. This represents a significant potential contribution to the future management of the transport network, especially in larger metropolitan areas. We also discuss policy implications of this result and what the international community may take from the Australian experience. |
Date Added | 10/11/2022, 11:10:43 AM |
Type | Video Recording |
---|---|
Director | Cañada Blanch Centre at LSE |
URL | https://www.youtube.com/watch?v=T7qHfVhDHn4 |
Date | 2022-11-08 |
Library Catalog | YouTube |
Running Time | 1:20:30 |
Abstract | Professor Shauna Brail, Institute for Management & Innovation, University of Toronto Mississauga. Presented by Cañada Blanch Centre for Contemporary Spanish Studies, The London School of Economics and Political Science. November 8, 2022. Video recording. |
Date Added | 11/10/2022, 2:10:48 PM |
Type | Journal Article |
---|---|
Author | Panayotis Christidis |
Author | Elena Navajas Cawood |
Author | Davide Fiorello |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X2200292X |
Volume | 129 |
Pages | 105-116 |
Publication | Transport Policy |
Date | 2022-12-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.10.007 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This article explores the changes in transport and mobility patterns that were triggered by the Covid-19 pandemic, as well as citizens’ potential new expectations arising from this situation regarding public transport policy and urban planning. We conducted an extensive survey in 20 cities across 11 European countries during the second quarter of 2021, with a total of 10000 respondents. The information that we collected covered the change in the frequency of technology-based alternatives to travel -such as teleworking and online shopping-compared to the pre-pandemic period. It also included the change in trip frequency, purpose, mode and destination. Using the survey dataset as input, we applied a classification model that explains the change in mode choice based on the respondent characteristics and preferences. Our findings suggest that the changes in mobility patterns induced by the pandemic are the result of the combination of the degree of mobility restrictions imposed in each city, the adoption of new lifestyle and work patterns, and individual choices that depend on personal risk aversion. We identify three main challenges for urban transport policy: the increasing use of car that can reinforce long-term car dependency, the avoidance of public transport that may lead to financial and operational instability, and the uncertainty as regards the future of innovation in urban transport, especially as regards emerging technologies and business models. |
Date Added | 11/8/2022, 10:13:08 AM |
Type | Journal Article |
---|---|
Author | Aoyong Li |
Author | Pengxiang Zhao |
Author | Xintao Liu |
Author | Ali Mansourian |
Author | Kay W. Axhausen |
Author | Xiaobo Qu |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922000591 |
Volume | 105 |
Pages | 103229 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-04-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103229 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Although e-scooter sharing has become increasingly attractive, little attention has been paid to a comprehensive comparison of e-scooter sharing mobility in multiple cities. To fill this gap, we conduct a comparative study to reveal the similarity and difference of e-scooter sharing mobility by collecting and analyzing vehicle availability data from 30 European cities during post COVID-19 pandemic. The comparisons are implemented from four perspectives, including temporal trip patterns, statistical characteristics (i.e., trip distance and duration), utilization efficiency, and wasted electricity during idle time. Results suggest that the similarity and difference co-exist between e-scooter sharing services in the cities, and utilization efficiency is significantly related with the number of e-scooters per person and per unit area. Surprisingly, on average nearly 33% of electricity are wasted during idle time in these cities. These research findings can be beneficial to further optimizing e-scooter sharing mobility services for transportation planners and micro-mobility operators. |
Date Added | 4/4/2022, 9:48:56 AM |
Type | Journal Article |
---|---|
Author | Taru Jain |
Author | Graham Currie |
Author | Laura Aston |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421003219 |
Volume | 156 |
Pages | 52-68 |
Publication | Transportation Research Part A: Policy and Practice |
Date | February 1, 2022 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.12.007 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | COVID related lockdowns have forced many workers around the world into work from home (WFH) arrangements. While the proportion of people who work from home has typically been very low (4.5% in Melbourne in 2016), it is worth considering how trends might change once the world emerges out of COVID lockdowns. This paper aims to examine (1) the long-term impacts of COVID on WFH and (2) the psycho-social factors which will impact workers’ intention to increase WFH post-COVID. The paper uses the Theory of Planned Behaviour as a lens to examine these psycho-social determinants. The study uses the survey responses of 1,364 workers which were collected in June-August 2020 as part of a larger survey (n = 2,158), which aimed to capture a representative population of Greater Melbourne. Quasi-longitudinal investigation of self-reported WFH frequency revealed that WFH as a share of average weekday employment increased 310% during COVID lockdown. In the longer term, when COVID is no longer an issue, WFH can be expected to be 75% higher than pre-COVID levels. Structural Equation Modelling was applied to the Theory of Planned Behaviour to understand motivators for and barriers to increasing WFH post-COVID. Perceived Behavioural Control (e.g. job type, technology, access to materials) and Subjective Norms (e.g. employer and family support) will be crucial determinants of the intention to work from home post-COVID. Attitudes regarding WFH will only have a weak impact on future intention to work from home, a finding which contrasts with previous research. |
Date Added | 2/4/2022, 9:50:27 AM |
Type | Web Page |
---|---|
URL | https://www.pathlms.com/ite/courses/40139/webinars/27948 |
Language | en |
Abstract | 8 March 2022, 4:30pm EST- COVID19 may have changed the trends in travel patterns forever. After abrupt changes to travel due to lockdowns and closed borders in Australia and New Zealand, travel is slowly returning towards pre-pandemic levels, but there seem to still be some long term effects. This webinar will quantify those trends and what we can expect for trends in the future. |
Website Title | pathlms.com |
Date Added | 3/1/2022, 2:18:39 PM |
Type | Journal Article |
---|---|
Author | Bruno De Borger |
Author | Stef Proost |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001665 |
Volume | 163 |
Pages | 20-42 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.06.012 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Covid-19 has important implications for public transport operations. Increased teleworking and the perceived infection risk on public transport vehicles have drastically reduced demand in many cities. At the same time, physical distancing has effectively reduced available peak-period public transport capacity. In this paper, we use a simple model to study the effect of these changes on second-best optimal pricing and frequency provision, assuming that car use is underpriced. A numerical application reflecting the public transport situation in Brussel is provided. Results include the following. First, more telework and the increased perceived infection risk have opposite effects on the fare, so that it may be optimal not to change the fare at all. Optimal frequency is likely to decline. Second, holding the fare and frequency constant at their pre-Covid second-best optimal values, more telework reduces the public transport deficit if car use is underpriced. Third, extending the model to allow for passengers with different vulnerability towards Covid-19, allowing fare and frequency differentiation implies that vulnerable users will face higher fares only if their risk perception is sufficiently higher than that of the non-vulnerable, and car use is not too much underpriced. Occupancy rates will be lower for the vulnerable passengers. Fourth, the numerical results for Brussels show that telework and a high perceived infection risk for workers may yield a welfare optimum whereby commuters do almost not use public transport. Offering a low frequency suffices to deal with the captive demand by school children and students. Lastly, reserved capacity for the vulnerable users and stimuli for walking and biking to school may be useful policies to deal with the crowding risk. |
Date Added | 8/30/2022, 10:20:57 AM |
Type | Journal Article |
---|---|
Author | Beda Büchel |
Author | Alessio Daniele Marra |
Author | Francesco Corman |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21003565 |
Volume | 116 |
Pages | 144-156 |
Publication | Transport Policy |
Date | February 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.12.003 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Across the world, the COVID-19 pandemic has forced people to reconsider their habits in terms of how they work, how they interact with each other, and of their mobility. During lockdowns, mobility was in general significantly reduced. Means of collective transportation were used much less, and people preferred means of individual transport. Evidence from some cities suggests that people turned to cycling as a resilient and reliable option with a small risk of contagiousness. This spike in demand led some governments to respond by opening additional bike lanes, reducing the fees of bike-sharing systems, banning cars on selected streets, or giving monetary incentives for the purchase of new bikes. We analyze the bike traffic in Basel and Zurich, two major Swiss cities. Throughout the pandemic, no specific measure to promote cycling was implemented in any of the two cities; we can thus see latent demand patterns exposed when conditions change. As cycling depends on the season and weather, we incorporate these data and correct the traffic counts hereby. We can identify a distinct change in cycling traffic over the course of the day. During the lockdown period, relatively more traffic is observed in the afternoon, possibly associated with leisure activities. Furthermore, there is a short-term drop in the corrected cycling traffic and a fast recovery, demonstrating cycling as a resilient transport mode. Soon bike traffic reached pre-lockdown levels, but no significant increase could be identified, possibly attributed to the absence of explicit policy measures. We furthermore survey a panel of bike policy experts to identify policy actions that could be taken in Basel and Zurich to increase bike usage. The COVID-19 pandemic disrupts life as we know it, leading people to reconsider their travel choices. Given authorities' desire to increase bike usage, it represents a window of opportunity to test new policy measures, increase bike trips of active cyclists, and attract new cyclists. As long as this window is open, people are susceptible to policy measures to reconsidering past choices. However, if no policy measures are conducted during the pandemic, as in the case study, it is likely that bike usage is not increased in the long run. Authorities are well-advised to take this opportunity to strengthen cycling and to lead to a more resilient, accessible, safe, and sustainable urban transport system. |
Date Added | 1/13/2022, 9:18:11 AM |
Type | Web Page |
---|---|
URL | https://news.ok.ubc.ca/2022/01/18/covid-19-has-changed-the-way-we-grocery-shop/ |
Abstract | It’s mid-January, it’s cold and blustery outdoors, but the kitchen cupboards are bare. And new research from UBC Okanagan suggests instead of braving the cold, this year’s consumer is going to fill an online grocery cart instead. Indeed, Dr. Mahmudur Fatmi, an Assistant Professor in the School of Engineering, says online shopping habits spiked across the globe during the pandemic—mostly as a result of social distancing measures, business closures and travel restrictions. But he also wonders if the online trend will continue. |
Date Added | 1/24/2022, 9:07:15 AM |
Type | Web Page |
---|---|
URL | https://www.utoronto.ca/news/covid-19-hastens-trend-toward-more-dynamic-workplace-u-t-researcher |
Language | en |
Abstract | For more than two decades, Jia Lin Xie has researched the relationships people have with their jobs. What factors influence work satisfaction, motivation and emotional or physical well-being? And how do different cultures and generations connect to their work? The answers were always complex and ever-changing, but Xie says the sudden shift to virtual and hybrid work in 2020 for most knowledge workers – people with jobs that can be done remotely using technology – has put the spotlight on some key challenges of the modern workplace. “Jobs are becoming more dynamic, and that requires employees to be more flexible, available and better at multitasking,” says Xie, a professor of organizational behaviour at the University of Toronto’s Rotman School of Management. “There’s also an expectation for employees to constantly upgrade their skills to cope with increasing demands or uncertainty at work.” |
Website Title | University of Toronto News |
Date Added | 3/28/2022, 10:06:24 AM |
Type | Blog Post |
---|---|
URL | https://www.municipalworld.com/podcasts/omara-pigeon/ |
Language | en-CA |
Abstract | Michael O’Mara and Sydney Pigeon from Alberta Municipalities discuss lessons learned from the pandemic and how important it is to get regular input from their members. |
Blog Title | Municipal World |
Date Added | 11/23/2022, 9:16:20 AM |
Type | Journal Article |
---|---|
Author | Qian He |
Author | Dana Rowangould |
Author | Alex Karner |
Author | Matthew Palm |
Author | Seth LaRue |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922000475 |
Volume | 105 |
Pages | 103217 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-04-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103217 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The Covid-19 pandemic has decimated public transit service across the United States and caused significant decreases in ridership. Little is known about the reasons for unevenness in pandemic-era mode shifts and the impacts of pandemic-related transit reductions on riders’ day-to-day lives. Using a national survey of U.S. transit riders (n = 500) conducted in fall 2020, this study examines changes in transit use since the pandemic began, the reasons for transit reductions, and the effects of reduced transit use and transit service on transit riders’ ability to meet their travel needs. The Covid-19 pandemic has exacerbated existing transportation burdens for those who have limited mobility options, those facing socioeconomic challenges, Hispanic or Latinx riders, and female, non-binary or genderqueer people. We close with recommendations for strengthening transit service for these groups in the long term as we recover from the pandemic. |
Date Added | 4/4/2022, 9:42:18 AM |
Type | Web Page |
---|---|
Author | U. S. Government Accountability Office |
URL | https://www.gao.gov/products/gao-22-104429 |
Language | en |
Abstract | The COVID-19 pandemic had a profound impact on the U.S. aviation industry. Passenger traffic in April 2020 was 96% lower than April 2019, and stayed 60% below 2019 levels in 2020. Effects cascaded across airports, repair shops, and the supply chain. For example, in response to reduced demand, airlines parked or retired many aircraft, which reduced demand for maintenance. Stakeholders noted the importance of over $100 billion in federal assistance for payrolls, rents, and more. FAA actions included temporary relief from some regulatory requirements. We continue to recommend development of a U.S. aviation preparedness plan for disease threats. |
Date Added | 5/26/2022, 9:55:56 AM |
Type | Web Page |
---|---|
URL | https://www.govtech.com/fs/covid-19-reshaped-the-work-and-mobility-landscape-in-u-s-cities |
Date | 4 Nov 2022 |
Abstract | The COVID-19 pandemic upended decades of transportation and city planning across the U.S., prompting experts to rethink the role of public transit and how to maintain vibrant downtown areas without a steady flow of commuters and office workers. Specifics vary from place to place, but in a lot of cities, pandemic-related traffic patterns set by the remote work movement remain a reality, as white-collar office workers adjust to more flexible schedules. This generally translates into less commuting into downtown areas, both via car and transit options. |
Date Added | 11/7/2022, 10:42:55 AM |
Type | Journal Article |
---|---|
Author | Hakan Yilmazkuday |
URL | https://www.sciencedirect.com/science/article/pii/S259019822030155X |
Volume | 8 |
Pages | 100244 |
Publication | Transportation Research Interdisciplinary Perspectives |
Date | November 1, 2020 |
Journal Abbr | Transportation Research Interdisciplinary Perspectives |
DOI | 10.1016/j.trip.2020.100244 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Daily data at the U.S. county level suggest that coronavirus disease 2019 (COVID-19) cases and deaths are lower in counties where a higher share of people have stayed in the same county (or travelled less to other counties). This observation is tested formally by using a difference-in-difference design controlling for county-fixed effects and time-fixed effects, where weekly changes in COVID-19 cases or deaths are regressed on weekly changes in the share of people who have stayed in the same county during the previous 14 days. A counterfactual analysis based on the formal estimation results suggests that staying in the same county has the potential of reducing total weekly COVID-19 cases and deaths in the U.S. as much as by 139,503 and by 23,445, respectively. |
Date Added | 3/2/2022, 11:23:29 AM |
Type | Web Page |
---|---|
Author | U. S. Government Accountability Office |
URL | https://www.gao.gov/products/gao-21-364 |
Language | en |
Abstract | About 46,000 Transportation Security Officers closely interact with passengers when they screen them at U.S. airports. To respond to COVID-19, the Transportation Security Administration took steps such as granting officers additional paid leave, and requiring them to use surgical masks and face shields and to physically distance from coworkers and passengers. TSA also changed how some screening technologies are used and is testing new technologies to prevent disease spread. TSA could better monitor how these measures are being carried out and could identify common problems to help airports fix them. Our recommendations address these issues. |
Date Added | 5/26/2022, 9:30:30 AM |
Type | Web Page |
---|---|
URL | https://c2smart.engineering.nyu.edu/wp-content/uploads/2022/08/COVID-19s-Effect-on-Transportation-Developing-a-Public-COVID-19-Data-Dashboard_Fina.pdf?utm_source=TRB+Weekly&utm_campaign=032f837d35-EMAIL_CAMPAIGN_2022_11_18_06_17&utm_medium=email&utm_term=0_c66acb9bce-032f837d35-%5BLIST_EMAIL_ID%5D |
Abstract | The COVID-19 outbreak has dramatically changed travel behavior in cities across the world. With changed travel demand, economic activity, and social-distancing/stay-at-home policies, transportation systems have experienced an unprecedented shift in demand and usage. Since the start of the pandemic, the C2SMART research team has been collecting data and investigating the impact of COVID-19 on mobility and sociability, including: passenger travel and freight traffic trends; mode shift and usage based on various policies; effect of social distancing policies on transit use and emissions; sidewalk, crosswalk, and intersection crowd density; and effect of COVID-19 Policies on Transportation Systems. Leveraging open data from multiple sources, this project features both traditional and innovative techniques, such as data mining and visualization, agent-based traffic simulation model and real-time computer vision technique, to help researchers and transportation authorities understand and observe the impact of the pandemic on transportation. |
Date Added | 11/21/2022, 10:40:55 AM |
Type | Journal Article |
---|---|
Author | Dimitris Gavalas |
Author | Theodoros Syriopoulos |
Author | Michael Tsatsaronis |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21003371 |
Volume | 116 |
Pages | 157-164 |
Publication | Transport Policy |
Date | February 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.11.016 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic, apart from leading to human cases and deaths, is also distracting the shipping stock market and the Baltic Indices. While event studies, as well as macroeconomic research has been conducted in the literature, we have not witnessed any effort yet to investigate how external shocks - and in particular the COVID-19 outbreak - may impinge on the shipping markets. Therefore, our research tries to fill in this gap by studying how a sanitary incident might influence shipping freight rates and stock values. We have used a market-model event study approach to investigate how fast and comprehensively shipping markets react upon certain latest evidence. To quantify the pandemic's economic impact, we estimated the abnormal returns; in a phase before and after the event, they may work as a measure of the unexpected effect of the event on a shipping firm's performance. The data that we have used in stock analysis come from a major shipping index, while for our freight study, time-series come from all main Baltic indices. Our results show that according to the key date set as the event window, different results appear of how pandemic-proof the dry market, the tanker market, and the shipping stock market have proven to be. |
Date Added | 1/13/2022, 9:33:03 AM |
Type | Journal Article |
---|---|
Author | Patrick Rérat |
Author | Lucas Haldimann |
Author | Hannah Widmer |
URL | https://www.sciencedirect.com/science/article/pii/S2590198222001373 |
Volume | 15 |
Pages | 100677 |
Publication | Transportation Research Interdisciplinary Perspectives |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Interdisciplinary Perspectives |
DOI | 10.1016/j.trip.2022.100677 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This paper addresses the effects of the pandemic and of Covid pop-up cycle lanes on cycling. A questionnaire survey was carried out in Geneva and Lausanne, Switzerland. The pandemic has strengthened the attractiveness of cycling both as a mode of transport and as a recreational activity, showing its resilience in a time of crisis. Covid cycle lanes implemented after the first lockdown have improved traffic conditions for cycling in terms of safety, directness and the overall experience. Beyond the recruitment of new cyclists, an effect of consolidating existing practices is observed through, for example, their extension to additional routes and motives. These pop-up cycle lanes have, however, been politically contested, and their reception varies in the population, depending mainly on mobility habits and political position. As both cities aim to increase their modal share of cycling, the challenge is to capitalize on the recent development of cycling, to provide suitable infrastructures, but also to find ways to deal with the controversies and to legitimate cycling as a fully-fledged means of transport. |
Date Added | 9/7/2022, 9:49:00 AM |
Type | Journal Article |
---|---|
Author | Ralph Buehler |
Author | John Pucher |
URL | https://www.mdpi.com/2071-1050/14/12/7293 |
Rights | http://creativecommons.org/licenses/by/3.0/ |
Volume | 14 |
Issue | 12 |
Pages | 7293 |
Publication | Sustainability |
Date | 2022/1 |
Extra | Number: 12 Publisher: Multidisciplinary Digital Publishing Institute |
DOI | 10.3390/su14127293 |
Library Catalog | www.mdpi.com |
Language | en |
Abstract | This article examines the impact of COVID-19 on cycling levels and government policies toward cycling over the period 2019 to 2021. We analyze national aggregate data from automatic bicycle counters for 13 countries in Europe and North America to determine month-by-month and year-to-year changes in cycling levels in 2020 and 2021 compared to 2019. That aggregate analysis is complemented by case studies of 14 cities in the USA, Canada, the UK, Belgium, France, Spain, and Germany. Although there was much variation over time, among countries, and among cities, cycling levels generally increased from 2019 to 2021, mainly due to growth in cycling for recreation and exercise. In contrast, daily trips to work and education declined. All 14 of the cities we examined in the case studies reported large increases in government support of cycling, both in funding as well as in infrastructure. Bikeway networks were expanded and improved, usually with protected cycling facilities that separate cyclists from motorized traffic. Other pro-cycling measures included restrictions on motor vehicles, such as reducing speed limits, excluding through traffic from residential neighborhoods, banning car access to some streets, and re-allocating roadway space to bicycles. Car-restrictive measures became politically possible due to the COVID-19 crisis. |
Date Added | 6/16/2022, 10:20:23 AM |
Type | Web Page |
---|---|
URL | https://pew.org/3R3Ik4I |
Language | en |
Abstract | Some cities are making permanent changes to discourage driving. |
Date Added | 8/29/2022, 10:07:55 AM |
Type | Journal Article |
---|---|
Author | Mohsen Fallah Zavareh |
Author | Milad Mehdizadeh |
Author | Trond Nordfjærn |
URL | https://www.sciencedirect.com/science/article/pii/S1369847821002886 |
Volume | 84 |
Pages | 348-362 |
Publication | Transportation Research Part F: Traffic Psychology and Behaviour |
Date | January 1, 2022 |
Journal Abbr | Transportation Research Part F: Traffic Psychology and Behaviour |
DOI | 10.1016/j.trf.2021.12.010 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The rapid surge of COVID-19 cases worldwide drew attention to COVID-19 infection as a new source of risk in transport. The virus introduced a need for viral transmission mitigation as a major priority when selecting a mode of travel, and caused a significant drop in public transport use. The recovery of public transport use in the post-COVID period requires that the transport authorities favourably address people’s demand for mitigation of the risk of COVID-19 transmission in public transport. The present study aims to explore the role of risk perception, worry and priority of COVID-19 risk reduction along with fatalistic beliefs and public trust in authorities in explaining public demand for risk mitigation. The present study is among the first to investigate the role of fatalistic beliefs, social trust and risk perception for public transport and public demand for risk mitigation. The link between priority of infection prevention and demand for risk mitigation has also been less explored in public transport research. An online survey was conducted among university students in Iran between 19th April and 16th June 2020, during the first wave of the pandemic, when the country was a major epicentre of the disease. A total of 271 out of 370 respondents whose dominant mode on university travels was public transport were included in the analysis. Results of structural equation modelling confirmed the paradox of trust, indicating that social trust is negatively associated with perceived risk of COVID-19 infection, which in turn may lead people to place less importance on COVID-19 prevention as a priority in travel mode choice, and consequently demand less risk mitigation efforts to prevent COVID-19 infection in public transport. Dissimilar to trust, however, the results revealed no relationship between fatalistic beliefs and risk perception, but a significant direct effect of fatalistic beliefs on demand for risk mitigation. To reinforce public demand for mitigating the risk of COVID-19 in public transport, the study calls on policymakers to exploit public trust resources for more effective risk communication, through disseminating the gradually accumulating evidence-based information regarding the infectivity and the virulence of COVID-19 and the scientific risk of infection. The study also underlined the potential importance of considering fatalistic beliefs when developing effective risk communication policies and practices to enhance public support for COVID-19 risk mitigation in public transport. |
Date Added | 1/13/2022, 10:09:40 AM |
Type | Journal Article |
---|---|
Author | Tri K. Nguyen |
Author | Nam H. Hoang |
Author | Graham Currie |
Author | Hai L. Vu |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001173 |
Volume | 161 |
Pages | 186-199 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.002 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Coronavirus 2019 (COVID-19) and its variants are still spreading rapidly with deadly consequences and profound impacts on the global health and world economy. Without a suitable vaccine, mobility restriction has been the most effective method so far to prevent its spreading and avoid overwhelming the heath system of the affected country. The compartmental model SIR (or Susceptible, Infected, and Recovered) is the most popular mathematical model used to predict the course of the COVID-19 pandemic in order to plan the control actions and mobility restrictions against its spreading. A major limitation of this model in relation to modeling the spreading of COVID-19, and the mobility limitation strategy, is that the SIR model does not include mobility or take into account changes in mobility within its structure. This paper develops and tests a new hybrid SIR model; SIR-M which is integrated with an urban activity travel model to explore how it might improve the prediction of pandemic course and the testing of mobility limitation strategies in managing virus spread. The paper describes the enhanced methodology and tests a range of mobility limitation strategies on virus spread outcomes. Implications for policy and research futures are suggested. |
Date Added | 6/9/2022, 2:55:26 PM |
Type | Journal Article |
---|---|
Author | Asa Thomas |
Author | Jamie Furlong |
Author | Rachel Aldred |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922002292 |
Volume | 110 |
Pages | 103402 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103402 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | School Streets are a street space reallocation scheme that has proliferated since the beginning of the Covid-19 pandemic in the UK, reducing motor traffic on streets outside many schools. Utilising a minimum-standards approach to equity, this paper examines the distribution of School Streets closures across social and environmental indicators of equity, and spatially across London’s administrative geography. Using a multi-level regression analysis, we show that although School Streets have been equally distributed across several socio-demographic indicators, they are less likely to benefit schools in car-dominated areas of poor air quality, and their spatial distribution is highly unequal. This study presents an example of using environmental and spatial variables alongside more typical sociodemographic indicators in measuring the equity of school travel provision. For policymakers, the findings signal the need to implement complementary policies that can benefit schools with worse air quality, and to accelerate School Street implementation in slower districts. |
Date Added | 9/6/2022, 9:13:24 AM |
Type | Journal Article |
---|---|
Author | Jesus Osorio |
Author | Yining Liu |
Author | Yanfeng Ouyang |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922000566 |
Volume | 105 |
Pages | 103226 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-04-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103226 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic has induced significant transit ridership losses worldwide. This paper conducts a quantitative analysis to reveal contributing factors to such losses, using data from the Chicago Transit Authority’s bus and rail systems before and after the COVID-19 outbreak. It builds a sequential statistical modeling framework that integrates a Bayesian structural time-series model, a dynamics model, and a series of linear regression models, to fit the ridership loss with pandemic evolution and regulatory events, and to quantify how the impacts of those factors depend on socio-demographic characteristics. Results reveal that, for both bus and rail, remote learning/working answers for the majority of ridership loss, and their impacts depend highly on socio-demographic characteristics. Findings from this study cast insights into future evolution of transit ridership as well as recovery campaigns in the post-pandemic era. |
Date Added | 4/4/2022, 9:43:57 AM |
Type | Journal Article |
---|---|
Author | Md. Mehedi Hasnat |
Author | Eleni Bardaka |
URL | https://www.sciencedirect.com/science/article/pii/S2213624X22000852 |
Publication | Case Studies on Transport Policy |
Date | 2022-04-22 |
Journal Abbr | Case Studies on Transport Policy |
DOI | 10.1016/j.cstp.2022.04.010 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Steep reduction in motor vehicle travel during the COVID-19 pandemic has plummeted the fuel sales affecting the revenue streams of state Departments of Transportation (DOTs) across the US. The objective of this study is to investigate the effectiveness of a number of user-based and general revenue generation mechanisms in reducing the transportation revenue shortfall or providing more stable revenue during a pandemic. State policies and pilot programs as well as public perception studies are reviewed to develop reasonable scenarios of tax and fee schemes, and price elasticity estimates are used to account for the effect of higher travel cost on demand for travel. We specifically focus on the adverse impacts of the COVID-19 pandemic on the transportation revenue in North Carolina (NC) using data from January to October 2020. The results indicate that monthly transportation revenue in NC could not have been sustained by increasing the state motor fuels tax up to 50% or motor vehicle fees up to 100%. On the other hand, increasing the highway use tax (state vehicle sales tax) from 3% to 8% would have eliminated the monthly shortfall in the state transportation revenue. Replacing the state fuels tax by mileage-based user fees could not bridge the gap between the monthly collected and projected state transportation revenue, even for high per-mile charges for passenger vehicles and trucks. Promising results are found for instituting an additional 0.75% state sales tax dedicated to general transportation use which could have provided adequate funding to eliminate the monthly shortfall in transportation revenue in NC during the COVID-19 pandemic. Dependence on state sale and use tax for transportation revenue is preferred and would lead to a lower shortfall compared to the motor fuels tax in a pandemic. |
Date Added | 4/28/2022, 9:37:03 AM |
Type | Report |
---|---|
Author | Alexandra Pan |
Author | Susan Shaheen |
Author | Berkeley. Institute of Transportation Studies University of California |
Author | Telemobility UTC [Teir-1 University Transportation Center on Telemobility] |
URL | https://rosap.ntl.bts.gov/view/dot/64880 |
Date | 2022-11-15 |
Extra | DOI: 10.7922/G2PV6HPK |
Library Catalog | ROSA P |
Language | English |
Abstract | The COVID-19 pandemic caused widespread lockdowns across the world in early 2020, with major implications to spatial and temporal commuting patterns as a result of increased work from home (also known as telework) activities. There has been a high degree of uncertainty on what work from home impacts will persist in the future. In this report, we first conduct a thorough review of news articles, published reports, and peer-reviewed literature to summarize telework trends. We also use scenario planning to bring together ten experts from academia, public sector, industry, and commercial real estate in two 1.5-hour long workshops to discuss the impacts of telework on transportation, housing, commercial real estate, and land use. |
Report Number | Telemobility-TR-2022-1 |
Date Added | 11/22/2022, 10:11:35 AM |
Type | Blog Post |
---|---|
URL | https://www.municipalworld.com/podcasts/armstrong-manjak/ |
Language | en-CA |
Abstract | Kimberly Armstrong from Edmonton, and Dr Raeleen Manjak from Vernon, discuss lessons learned from the pandemic and how municipalities have adjusted to today's back-to-work reality. |
Blog Title | Municipal World |
Date Added | 11/16/2022, 10:48:16 AM |
Type | Journal Article |
---|---|
Author | Javad Esmailpour |
Author | Kayvan Aghabayk |
Author | Mohammad Aghajanzadeh |
Author | Chris De Gruyter |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001446 |
Volume | 162 |
Pages | 80-103 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-08-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.023 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | COVID-19 has been associated with a decline in public transport ridership in many cities. However, the impact of the pandemic on passenger perceptions of public transport, particularly loyalty, has remained largely unexplored. Using a case study of Tehran’s bus system, this paper aims to assess the moderating effect of COVID-19 on passenger loyalty. A cross-sectional survey of bus users was conducted in two similar periods, before and during COVID-19. The data was analysed using structural equation modelling, with the effect of observed heterogeneity evaluated using multiple indicators multiple causes models and multi-group analysis. The results indicate that during COVID-19, perceptions of service quality have improved, particularly in relation to comfort (including crowding), safety, reliability and information. While this has led to increased customer satisfaction, loyalty to the system has decreased. An increase in the perceived attractiveness of using private cars was found to be the primary factor for reducing passenger loyalty with the perceived monetary and psychological costs of using cars being less effective in encouraging people to use the bus. Taking into account the significant utility of private vehicles in urban transportation during COVID-19, the present study identifies feasible areas for improving the performance of bus services to increase satisfaction with this form of public transport among car owners. |
Date Added | 7/21/2022, 9:28:32 AM |
Type | Web Page |
---|---|
URL | https://www.cts.umn.edu/news/2022/may/biking |
Abstract | Photos and stories about people biking and walking on packed trails were common during the early stages of the COVID-19 pandemic. Transportation researchers also reported surges in bicycling and walking during this time of social restrictions and widespread closures, but little was known about how those surges related to longer-term trends. A case study by a team of U of M and MnDOT researchers published in the Institute of Transportation Engineers (ITE) Journal sheds light on longer-term changes in bicycling and walking from 2017 through the COVID pandemic. |
Date Added | 5/20/2022, 10:34:23 AM |
Type | Web Page |
---|---|
URL | https://www.cts.umn.edu/news/2022/may/biking |
Abstract | Photos and stories about people biking and walking on packed trails were common during the early stages of the COVID-19 pandemic. Transportation researchers also reported surges in bicycling and walking during this time of social restrictions and widespread closures, but little was known about how those surges related to longer-term trends. A case study by a team of U of M and MnDOT researchers published in the Institute of Transportation Engineers (ITE) Journal sheds light on longer-term changes in bicycling and walking from 2017 through the COVID pandemic. |
Date Added | 5/26/2022, 12:18:00 PM |
Type | Journal Article |
---|---|
Author | Xiaomeng Dong |
Author | Kun Xie |
Author | Hong Yang |
URL | https://www.sciencedirect.com/science/article/pii/S0001457522001233 |
Pages | 106687 |
Publication | Accident Analysis & Prevention |
Date | 2022-04-27 |
Journal Abbr | Accident Analysis & Prevention |
DOI | 10.1016/j.aap.2022.106687 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Risky driving behaviors such as speeding and failing to signal have been witnessed more frequently during the COVID-19 pandemic, resulting in higher rates of severe crashes. This study aims to investigate how the COVID-19 pandemic impacts the likelihood of severe crashes via changing driving behaviors. Multigroup structural equation modeling (SEM) is used to capture the complex interrelationships between crash injury severity, the context of COVID-19, driving behaviors, and other risk factors for two different groups, i.e., highways and non-highways. The SEM constructs two latent variables, namely aggressiveness and inattentiveness, which are indicated by risk driving behaviors such as speeding, drunk driving, and distraction. One great advantage of SEM is that the measurement of latent variables and interrelationship modeling can be achieved simultaneously in one statistical estimation procedure. Group differences between highways and non-highways are tested using different equality constraints and multigroup SEM with equal regressions can deliver the augmented performance. The smaller severity threshold for the highway group indicates that it is more likely that a crash could involve severe injuries on highways as compared to those on non-highways. Results suggest that aggressiveness and inattentiveness of drivers increased significantly after the outbreak of COVID-19, leading to a higher likelihood of severe crashes. Failing to account for the indirect effect of COVID-19 via changing driving behaviors, the conventional probit model suggests an insignificant impact of COVID-19 on crash severity. Findings of this study provide insights into the effect of changing driving behaviors on safety during disruptive events like COVID-19. |
Date Added | 4/28/2022, 9:26:42 AM |
Type | Journal Article |
---|---|
Author | Patrick Loa |
Author | Sanjana Hossain |
Author | Yicong Liu |
Author | Khandker Nurul Habib |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002925 |
Volume | 155 |
Pages | 46-62 |
Publication | Transportation Research Part A: Policy and Practice |
Date | January 1, 2022 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.11.013 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The ongoing COVID-19 pandemic has fundamentally changed the nature of day-to-day life in cities worldwide. In the transportation sector, COVID-19 appears to have impacted modal preferences. In particular, people seem to be less willing to use modes where they may encounter strangers (such as public transit) and modes that involve coming into contact with shared surfaces (such as ride-sourcing). Given the transformative impact that ride-sourcing services had on urban mobility before the pandemic, it is crucial to understand the effects of COVID-19 on the use of ride-sourcing moving forward. Using data from a web-based survey, this study combines descriptive analysis with the application of a two-stage ordered logit model framework to investigate the impacts of COVID-19 on the utilization of ride-sourcing services in the Greater Toronto Area, including how often ride-sourcing is used and the earliest stage of the pandemic that a person would consider using ride-sourcing. Generally speaking, the use of ride-sourcing has decreased since the start of the pandemic, however, there are also people who are using ride-sourcing more often than they did before the pandemic. The results indicate that the perception of risk, the tendency to take precautions when leaving home, and socio-economic factors influence the earliest stage of the pandemic where a person would consider using ride-sourcing. Overall, it appears that ride-sourcing usage will gradually increase as restrictions are lifted; however, it is unlikely to return to pre-pandemic levels until COVID-19 is no longer considered a public health threat. |
Date Added | 1/6/2022, 9:11:52 AM |
Type | Journal Article |
---|---|
Author | Rebecca Kiriazes |
Author | Kari Edison Watkins |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422002245 |
Volume | 165 |
Pages | 20-37 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-11-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.08.019 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Travel behavior has dramatically shifted during the COVID-19 pandemic as social distancing measures and stay-at-home orders are encouraged to prevent the spread of infection. Shared mobility,which includes transit, ride-hailing, and shared ride-hailing, typically involves contact with strangers and is now viewed as a potential risk. To understand current trends and predict potential modal shifts in a post-COVID-19 world, this research designed, developed, and deployed a short online survey about comfort with and usage of shared transportation. The surveywas distributed through multiple recruitment methods to adults in the Atlanta metro area. Data collected from the survey (n = 787) revealed preferences related to ride-sharing environments and safety procedures, frequency of travel on different modes before and during the pandemic,andlevel of comfort related to the usage of different modes. Despite reopening the economy in Georgia, this research found that the actual usage of private ride-hailing and transit has dramatically decreased. In addition to the usage, the indicated comfort level with usage of shared mobility has decreased since the pandemic. Looking to the future, regression models and data analysis indicated that although there would be an increase in comfort for all shared modes when a vaccine is available, it does not return to the pre-pandemic levels. |
Date Added | 11/7/2022, 10:28:37 AM |
Type | Journal Article |
---|---|
Author | Qifan Nie |
Author | Xinwu Qian |
Author | Shuocheng Guo |
Author | Steven Jones |
Author | Mehrnaz Doustmohammadi |
Author | Michael D. Anderson |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001148 |
Volume | 161 |
Pages | 48-67 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.04.016 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Paratransit plays an important role in offering mobility and accessibility in local communities, especially for mobility disadvantaged group such as seniors, persons with disabilities, and persons with medical conditions. This study comprehensively evaluates the impacts of COVID-19 on paratransit services from paratransit operator and individual rider perspectives. In particular, we mine a paratransit dataset that covers trip logs of more than 800 unique riders over a seven-month period in order to understand how the pandemic impacted service and influenced trip purposes of individual riders. For service providers, our analyses show that a significant loss in paratransit ridership was accompanied by drastic changes in travel behavior among paratransit riders. Results indicate that the operator was able to deliver safe and efficient mobility services during COVID-19, but at a 60% higher cost per rider than under pre-pandemic conditions. The results also reveal a varying level of impacts for individual riders given heterogeneity among trip purposes and demographic profiles. Moreover, similarities are identified across a range of individual riders, depending on specific trip purposes and the availability of alternative travel options. This study is among the first to investigate paratransit operations during COVID-19 in terms of impacts to both operators and individual riders. The lessons learned and policy insights should be useful to other paratransit operators and policymakers in preparing for current and future pandemics. |
Date Added | 6/9/2022, 2:49:57 PM |
Type | Journal Article |
---|---|
Author | Kaile Zhou |
Author | Dingding Hu |
Author | Fangyi Li |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X2200172X |
Volume | 125 |
Pages | 164-178 |
Publication | Transport Policy |
Date | 2022-09-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.06.007 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic has given rise to a major impact on traffic mobility. To implement preventive measures and manage transportation, understanding the transformation of private driving behavior during the pandemic is critical. A data-driven forecasting model is proposed to estimate daily charging demand in the absence of the COVID-19 pandemic by leveraging electric vehicle (EV) charging data from four cities in China. It serves as a benchmark for quantifying the impact of the COVID-19 pandemic on EV charging demand. A vector autoregressive (VAR) model is then used to investigate the dynamic relationship between the changes in charging demand and potential influencing factors. Potential influencing factors are selected from three aspects: public health data, public concern, and the level of industrial activity. The results show that the magnitude of the decline in EV charging demand varied by city during the pandemic. Furthermore, COVID-19 related factors such as daily hospitalizations and national confirmed cases are the primary causes of the decline in charging demand. The research framework of this paper can be generalized to analyze the changes in other driving behaviors during the pandemic. Finally, three policy implications are proposed to assist other countries in dealing with similar events and to stimulate the recovery of the transport system during the post-pandemic period. |
Date Added | 7/18/2022, 11:19:34 AM |
Type | Journal Article |
---|---|
Author | Rezwana Rafiq |
Author | Michael G. McNally |
Author | Yusuf Sarwar Uddin |
Author | Tanjeeb Ahmed |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422000507 |
Volume | 159 |
Pages | 35-54 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-05-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.003 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The ongoing COVID-19 pandemic has created significant public health concerns that led the public and private sectors to impose stay-at-home and work-from-home policies. Although working from home has been a conventional albeit infrequent behavior, the prevalence of this option was significantly and rapidly accelerated during the pandemic. This study explored the impacts of working from home on activity-travel behavior during the pandemic. Both work and non-work activity participation declined during the pandemic but to what extent was this due to working from home? How did working from home affect other measures of travel such as person-miles traveled? We approached these questions by developing a Structural Regression model and using cross-sectional data for the early phase of the pandemic when the infection curve was flattened and activity-travel behavior became relatively stable following the drastic changes observed during the pandemic’s initial shock. Combining U.S. county-level data from the Maryland Transportation Institute and Google Mobility Reports, we concluded that the proportion of people working from home directly depended on pandemic severity and associated public health policies as well as on a range of socio-economic characteristics. Working from home contributed to a reduction in workplace visits. It also reduced non-work activities but only via a reduction in non-work activities linked to work. Finally, a higher working from home proportion in a county corresponded to a reduction in average person-miles traveled. A higher degree of state government responses to containment and closure policies contributed to an increase in working from home, and decreases in workplace and non-workplace visits and person-miles traveled in a county. The results of this study provide important insights into changes in activity-travel behavior associated with working from home as a response strategy to major disruptions such as those imposed by a pandemic. |
Date Added | 4/25/2022, 9:47:57 AM |
Type | Journal Article |
---|---|
Author | Michael Ammoury |
Author | Baris Salman |
Author | Carlos E. Caicedo Bastidas |
Author | Shubham Kumar |
URL | https://ascelibrary.org/doi/10.1061/JTEPBS.TEENG-7498 |
Rights | © 2022 American Society of Civil Engineers |
Volume | 149 |
Issue | 2 |
Pages | 05022009 |
Publication | Journal of Transportation Engineering, Part A: Systems |
Date | 2023/02/01 |
Extra | Publisher: American Society of Civil Engineers |
DOI | 10.1061/JTEPBS.TEENG-7498 |
Library Catalog | ASCE |
Language | EN |
Abstract | COVID-19 had serious repercussions on public transportation throughout the USA. The aftermath of the peak of the crisis marked the path towards a slow and gradual recovery characterizing the shift to a new normal. Given the limited information on the recovery trends of public transportation, this paper compares the actual ridership and bus supply data for the years of 2019 and 2020 to study the timeline impacts of the pandemic on the bus system of the mid-sized city of Syracuse, NY. A data-driven analysis is presented across the city’s bus routes, university bus routes, and categorical bus stops. Various census tract socio-demographic data are also correlated with passenger activity changes and mapped using ArcGIS. The findings show that overall bus ridership in 2020 fell by 70%, on average, during the three months that followed the onset of the pandemic. Since the lifting of the initial restrictions, concerns about using public transportation had partially been alleviated; however, passengers remained reluctant with ridership decline stabilizing at approximately 55% during the last four months of the year. While bus lines serving the university area, which houses a high percentage of youth, were severely affected by the pandemic, passenger activity near hospital stops were less affected and those near major supermarkets/hypermarkets seemed unaffected, showing a surge especially in the two months that followed the onset of the pandemic. Passenger activity at census tracts having low poverty levels mostly located on the outskirts of the city of Syracuse were the least affected tracts in the last six months of 2020. It is anticipated that the insights presented will help service planners in preparing for similar future events by better understanding what stops and routes are deemed essential during a public health crisis and how the socio-demographics impacted the recovery after restrictions were removed. |
Date Added | 12/12/2022, 9:12:07 AM |
Type | Web Page |
---|---|
URL | https://cammse.charlotte.edu/sites/cammse.charlotte.edu/files/media/CAMMSE-UNCC-2021-UTC-Project-Report-09-Qi-Final.pdf?utm_source=TRB+Weekly&utm_campaign=5fe6ec3ebf-EMAIL_CAMPAIGN_2022_10_31_07_58&utm_medium=email&utm_term=0_1a66ea3bb0-5fe6ec3ebf-510969433 |
Abstract | The impacts of COVID-19 on public transit have been substantial. The public transit agencies are facing unprecedented challenges, including operator absenteeism, a sharp decline in ridership, new disinfection practices, and the maintenance of personal protective equipment (PPE) for the safety of operators and riders. Meanwhile, public transit is critical for essential workers to commute and for citizens to access food and medical services. These challenges will continue changing and impact public transit significantly. In this paper, a national-wide study is conducted to investigate the impacts of COVID-19 on the public transit ridership in the top twenty metropolitan areas in the U.S. At first, COVID 19 composite index was developed to qualitatively measure the level of public fear toward COVID-19 in different metropolitan areas. After that, to analyze the impact of COVID-19 and some socioeconomic factors on transit ridership reduction during the COVID-19 pandemic, a random-effects panel data model was developed. In addition, correlation analysis was conducted to further analyze the impacts of the identified socioeconomic factors. According to the results of both analyses, it was found that the areas with higher median household income, a higher percentage of the population with a Bachelor’s degree or higher, a higher employment rate, and a higher percentage of the Asian population are more likely to have more reductions in public transit ridership during the COVID-19 pandemic. On the other side, the areas with a higher percentage of the population in poverty, and a higher percentage of the Hispanic population are more likely to experience smaller reductions in public transit ridership. The findings of this study can help public transit agencies and local transportation planning organizations better understand the causes and patterns of changes in public transit ridership during the pandemic. |
Date Added | 11/1/2022, 10:55:03 AM |
Type | Journal Article |
---|---|
Author | John D. Nelson |
Author | Brian Caulfield |
URL | https://doi.org/10.1186/s12544-022-00547-0 |
Volume | 14 |
Issue | 1 |
Pages | 22 |
Publication | European Transport Research Review |
Date | 2022-05-25 |
Journal Abbr | Eur. Transp. Res. Rev. |
DOI | 10.1186/s12544-022-00547-0 |
Library Catalog | Springer Link |
Language | en |
Abstract | The design, management and operation of transport systems is a complex activity and this has only been exacerbated since the onset of the COVID-19 pandemic. Concern has been raised over the likelihood of the public transport sector surviving in some locations given the significant drops in patronage; this is especially so in rural environments where the existing provision was already limited. Furthermore, within the growing literature on the impact of COVID-19 on travel behaviour most of the focus is on urban areas with little documented experience of how rural travel behaviour has been impacted. |
Date Added | 5/30/2022, 10:27:32 AM |
Type | Journal Article |
---|---|
Author | Boniphace Kutela |
Author | Tabitha Combs |
Author | Rafael John Mwekh'iga |
Author | Neema Langa |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922002899 |
Volume | 111 |
Pages | 103463 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-10-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103463 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The impacts of COVID-19 on transportation sector have received a substantial research attention, however, less is known about localized COVID-19 responses that provided safe space for mobility and other daily activities. We applied logistic regression and text mining approaches on the Shifting Streets COVID-19 Mobility Dataset to explore the long-term outcomes of the localized responses. We explored the purpose, affected space, function, and implementation approach. We found that responses instituted for economic recovery and public health are less likely to be long-term, while responses meant to improve safety or bicycle/pedestrian mobility are more likely to be long-term. Further, operational or regulatory responses are less likely to be long-term. Additionally, responses affecting curb space are more likely to be long-term than those affecting other right-of-way areas. Text-mining of responses’ narratives revealed key patterns for both short-term and long-term outcomes. Study findings showcase the possible design and operations changes during post-COVID-19 era. |
Date Added | 10/2/2022, 10:37:15 AM |
Type | Journal Article |
---|---|
Author | Ruijie Bian |
Author | Pamela Murray-Tuite |
Author | Jian Li |
URL | https://ascelibrary.org/doi/10.1061/%28ASCE%29UP.1943-5444.0000887 |
Rights | © 2022 American Society of Civil Engineers |
Volume | 148 |
Issue | 4 |
Pages | 04022038 |
Publication | Journal of Urban Planning and Development |
Date | 2022/12/01 |
Extra | Publisher: American Society of Civil Engineers |
DOI | 10.1061/(ASCE)UP.1943-5444.0000887 |
Library Catalog | ASCE |
Language | EN |
Abstract | The impacts of COVID-19 on for-hire vehicle (FHV) (e.g., Uber/Lyft, often referred to as transportation network companies in other locations) and taxi use have been relatively understudied compared with transit and personal vehicles. This study analyzed and estimated the changes in ridership for taxis and FHVs in New York City during the COVID-19 pandemic to determine whether it had disproportional impacts on these competing modes, how these impacts varied over time and space, and the associated factors. Data supporting the analyses came from the Taxi and Limousine Commission, the COVID-19 Data Repository, Google's Community Mobility Reports, the American Community Survey, and the Primary Land Use Tax Lot Output. Temporal change was measured by the daily taxi/FHV ridership deviation from a defined baseline, which showed that COVID-19 more negatively impacted taxis than FHVs. Temporal moving average models were then employed, which showed that COVID-19 had different temporal impacts on taxis and FHVs in relation to the parameters’ significance, magnitude, and temporal correlation patterns. In general, taxi/FHV ridership dropped when people spent more time at home and the number of confirmed COVID-19 cases was greater. The spatial variation in taxi/FHV ridership was measured by the coefficient of variation. Spatial regression models indicated that the land use of a zone affected taxi/FHV ridership during the pandemic. In addition, a zone with more carless/car-free households, older persons, or more children enrolled in school was more likely to experience a decrease in taxi/FHV ridership. A zone with more workers who commuted by walking or taking transit (excluding taxis) in pre-COVID times was more likely to see a decrease in taxi/FHV ridership. A zone with more people working from home pre-COVID, was more likely to see an increase in FHV ridership. The models showed that COVID-19 had greater spatial impacts on taxis than FHVs. Based on these results, this study provides insights as to what factors affected ridership of the two competing travel modes and suggests actions that transportation authorities could take to reduce temporal and spatial impact disparities. |
Date Added | 9/19/2022, 9:36:04 AM |
Type | Journal Article |
---|---|
Author | Chao Chen |
Author | Tao Feng |
Author | Xiaoning Gu |
Author | Baozhen Yao |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22000051 |
Volume | 117 |
Pages | 98-107 |
Publication | Transport Policy |
Date | March 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.01.005 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | During the COVID-19 pandemic, public transport in many cities faces dramatic reduction of passenger demand. Various countermeasures such as social distancing and in-vehicle disinfection have been implemented to reduce the potential risks concerning infection, the effectiveness in promoting the use of public transport however remains unclear. Unlike the usual situation where time and cost are the main factors affecting travel decisions, the uncertainty hiding behind the behavior change of public transport users in a pandemic might be greatly affected by the control measures and the perception of people. This paper therefore aims to examine the effects of COVID-19 related countermeasures implemented in public transport on individuals' travel decisions. We explore the extent to which do policy countermeasures influence different groups of people on the use of public transport. An error component latent class choice model was estimated using the data collected in the Netherlands. Results show that the restrictions policy lifted by the Dutch central government have significant effect on individuals' transportation mode choice decision during the pandemic. The related measures adopted by the public transport sector, by contrast, present different effects on different people. The older and highly educated people are more susceptible to enforcement measures, whereas young and single Dutch citizens are more accessible to non-compulsory measures. Moreover, compared with other private modes, public transport is generally identified as a riskier option, and the average willingness to travel descends. Findings of this study are helpful for the authorities in designing and promoting effective policies in the context of pandemics. |
Date Added | 2/2/2022, 11:17:22 AM |
Type | Report |
---|---|
URL | https://tirf.ca/download/ssr2021-impact-covid19-securite-routiere-mobilite/?dlm-dp-dl-force=1&dlm-dp-dl-nonce=6472f6f371 |
Pages | 20 |
Date | 2021 |
Language | fr-CA |
Abstract | Le présent feuillet d’information résume les résultats du Sondage sur la sécurité routière portant sur les effets de la pandémie de COVID-19 en matière de sécurité routière et d’habitudes de déplacement. Ce sondage d’opinion spécial est mené par la Fondation de recherche sur les blessures de la route (FRBR) et commandité par Desjardins. Il prend le pouls du pays quant aux principaux enjeux en matière de sécurité routière, en mettant un accent particulier sur la pandémie de COVID-19 et ses effets sur le comportement des conducteurs. Ce sondage en ligne a été mené auprès d’un échantillon aléatoire et représentatif de Canadiens. |
Date Added | 2/1/2022, 10:37:59 AM |
Type | Report |
---|---|
Author | Sam Fuller |
Author | Dillon T. Fitch |
Author | Mollie Cohen D'Agostino |
Author | Davis. Institute of Transportation Studies University of California |
Author | University of Southern California Pacific Southwest Region 9 UTC |
URL | https://rosap.ntl.bts.gov/view/dot/56846 |
Date | 2021-06-01 |
Extra | DOI: 10.7922/G2FJ2F3B |
Library Catalog | ROSA P |
Language | English |
Abstract | This report highlights key themes from a series of ten interviews with U.S. cities with micromobility programs in their jurisdictions (Atlanta, GA; Austin, TX; Chicago, IL; District of Columbia; Denver, CO; Los Angeles, CA; Oakland, CA; Portland, OR; San Diego, CA; Seattle, WA). The research aims to shed light on both the regulatory process and identify best practices for dockless bike and scooter sharing policy. The following themes emerged among the cities interviewed: a) Data-sharing requirements for scooters and dockless bikes are critical for evaluation and monitoring for compliance with policies like equitable distributional requirements; b) Clear parking regulations for dockless bikes and scooters must balance flexibility and preserve community space ; c) Fines are effective tools to reduce bad behavior from users of micromobility devices, e.g., incorrect parking, or reckless riding behavior; and d) Clear classifications of micromobility devices will allow cities to target guidance and update regulations over time to improve clarity and outcomes. Finally, the paper concludes that more research is needed to refine these findings in this new and rapidly growing micromobility marketplace. |
Report Number | PSR-UCD-19-40 |
Date Added | 3/31/2022, 1:23:37 PM |
Type | Journal Article |
---|---|
Author | Kanglin Chen |
Author | Ruth Steiner |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922002401 |
Volume | 110 |
Pages | 103414 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103414 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Travel has become less common due to COVID-19. While prior research has discussed recent travel changes for Americans in multiple ways, few have examined the adjusted travel that has been sustained since March 2021. In addition, little is known about changes in Americans’ travel patterns in trips by distance. In this research, we asked two questions: 1) How have the numbers of trips by distance changed since 2019? and, 2) What are the geospatial patterns of the changes? Data from mid-March to mid-September 2021 indicates a 7% decrease in the number of trips and a 14.5% increase in people staying home. People traveled less except for those in the middle U.S. states, from North Dakota to Texas, as vertically aligned. Staying home more seemed to occur mainly in the South. Trips between 50 and 500 miles increased nationwide. COVID-19 has had different levels of impact on trips of different distance ranges. |
Date Added | 9/6/2022, 9:12:03 AM |
Type | Journal Article |
---|---|
Author | Qi Luo |
Author | Marissa Gee |
Author | Benedetto Piccoli |
Author | Daniel Work |
Author | Samitha Samaranayake |
URL | https://www.sciencedirect.com/science/article/pii/S0968090X22000389 |
Volume | 138 |
Pages | 103592 |
Publication | Transportation Research Part C: Emerging Technologies |
Date | 2022-05-01 |
Journal Abbr | Transportation Research Part C: Emerging Technologies |
DOI | 10.1016/j.trc.2022.103592 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | During a pandemic such as COVID-19, managing public transit effectively becomes a critical policy decision. On the one hand, efficient transportation plays a pivotal role in enabling the movement of essential workers and keeping the economy moving. On the other hand, public transit can be a vector for disease propagation due to travelers’ proximity within shared and enclosed spaces. Without strategic preparedness, mass transit facilities are potential hotbeds for spreading infectious diseases. Thus, transportation agencies face a complex trade-off when developing context-specific operating strategies for public transit. This work provides a network-based analysis framework for understanding this trade-off, as well as tools for calculating targeted commute restrictions under different policy constraints, e.g., regarding public health considerations (limiting infection levels) and economic activity (limiting the reduction in travel). The resulting plans ensure that the traffic flow restrictions imposed on each route are adaptive to the time-varying epidemic dynamics. A case study based on the COVID-19 pandemic reveals that a well-planned subway system in New York City can sustain 88% of transit flow while reducing the risk of disease transmission by 50% relative to fully-loaded public transit systems. Transport policy-makers can exploit this optimization-based framework to address safety-and-mobility trade-offs and make proactive transit management plans during an epidemic outbreak. |
Date Added | 4/13/2022, 9:41:54 AM |
Type | Journal Article |
---|---|
Author | Lidón Mars |
Author | Rosa Arroyo |
Author | Tomás Ruiz |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001203 |
Volume | 161 |
Pages | 107-129 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.004 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The lockdown of March and April 2020 declared by Spanish authorities in the Valencian Region to bending the Covid-19 curve, caused a drastic reduction of the economic activity and a severe limitation of mobility. People were asked to stay at home as much as possible. Education and administrative centers, as well as restaurants, theaters, sport arenas, etc., were closed. Work at conventional workplaces was prohibited for people who could tele-work, and students were compelled to attend classes on-line. Such limitation of mobility and spending so many time at home, could affect the wellbeing of people. The objective of the present paper is to present a study on the differences on wellbeing according to the mobility of respondents during the lockdown. Information from 1,827 individuals regarding the satisfaction of the basic psychological needs (Autonomy, Competence and Relatedness) and Positive and Negative affect were collected through and web-survey during the first lockdown of the Covid-19 pandemic, together with mobility data and sociodemographic characteristics. Mann-Whitney U tests, Confirmatory Factor Analyses and Structural Equation models are used to find out differences in the wellbeing of people according to their mobility characteristics during the first lockdown, and how these mobility characteristics are associated to the psychological variables studied. Mobility of people during the first lockdown reduced drastically, especially the youngest ones, and the main travel mode was walking. In general, the youngest participants in this research and females present lower values of the psychological wellbeing variables during the lockdown. A very low or very high degree of mobility is also associated to discomfort, although the more time spent traveling the better people feel. Those who walked more are related to lower values of wellbeing. Some lessons are learned to improve transport and mobility planning during a pandemic. |
Date Added | 6/9/2022, 3:15:25 PM |
Type | Journal Article |
---|---|
Author | Jielun Liu |
Author | Ghim Ping Ong |
Author | Vincent Junxiong Pang |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001197 |
Volume | 161 |
Pages | 25-47 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.003 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This paper studies the effectiveness of several pandemic restriction measures adopted in Singapore during the COVID-19 outbreak. To this end, the classical Susceptible-Exposed-Infectious-Recovered (SEIR) model widely used to describe the dynamic process of epidemic propagation is extended to an area-based SEIR model with the consideration of exposure to infections during commute and quarantine. The proposed model considers infections within areas and infections occurred during the commute of individuals. A case study of the Singapore MRT system is presented to show the effectiveness of pandemic restriction policies implemented in Singapore, namely social distancing, work shift and Circuit Breaker (CB) and phase advisories. A long-term investigation of COVID-19 pandemic in Singapore is performed, and the disease transmission dynamics in 2020–2021 (which covers the first wave and second wave of COVID-19 pandemic in Singapore) is modelled. |
Date Added | 6/9/2022, 3:18:49 PM |
Type | Journal Article |
---|---|
Author | Weiye Xiao |
Author | Yehua Dennis Wei |
Author | Yangyi Wu |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922002541 |
Volume | 110 |
Pages | 103428 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103428 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | COVID-19 has swept the world, and the unprecedented decline in transit ridership has been noticed. However, little attention has been paid to the resilience of the transportation system, particularly in medium-sized cities. Drawing upon a light rail ridership dataset in Salt Lake County from 2017 to 2021, we develop a novel method to measure the vulnerability and resilience of transit ridership using a Bayesian structure time series model. The results show that government policies have a more significant impact than the number of COVID-19 cases on transit ridership. Regarding the built environment, a highly compact urban design might reduce the building coverage ratio and makes transit stations more vulnerable and less resilient. Furthermore, the high rate of minorities is the primary reason for the drops in transit ridership. The findings are valuable for understanding the vulnerability and resilience of transit ridership to pandemics for better coping strategies in the future. |
Date Added | 9/6/2022, 9:14:20 AM |
Type | Web Page |
---|---|
URL | https://transweb.sjsu.edu/research/2140-Transit-Social-Distancing |
Date | 2022-03-23T18:48:54-07:00 |
Abstract | During the COVID-19 pandemic, LA Metro has encouraged social distancing among passengers—especially at stations of high-demand routes—and has increased fixed-route transit (FRT) services. However, potential impacts of social distancing on the performance of FRT services remain mostly unknown. This research evaluates the accessibility of FRT buses with social distancing using the ridership data collected on four FRT routes: 105, 108, 111, and 115 of the LA Metro's A Line stations located in low-income neighborhoods. This research shows that social distancing of six feet can impact FRT's accessibility to destination stations, and maximum accessibility is achieved only for a certain number of stops served—which is less than the current number of stops served. The FRT routes 105, 108, 111 and 115 have maximum accessibility with social distancing for the number of stops served equal to 65, 52, 52 and 50, respectively. The methodology used in this research can help decision-makers understand how FRT bus frequencies are impacted by social distancing measures, and the results can guide the transit authorities developing FRT service among low-income commuters during and after the pandemic. |
Website Title | Mineta Transportation Institute |
Date Added | 4/26/2022, 10:54:56 AM |
Type | Journal Article |
---|---|
Author | Prateek Bansal |
Author | Roselinde Kessels |
Author | Rico Krueger |
Author | Daniel J. Graham |
URL | https://www.sciencedirect.com/science/article/pii/S096585642200088X |
Volume | 160 |
Pages | 45-60 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-06-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.033 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic has drastically impacted people’s travel behaviour and introduced uncertainty in the demand for public transport. To investigate user preferences for travel by London Underground during the pandemic, we conducted a stated choice experiment among its pre-pandemic users (N = 961). We analysed the collected data using multinomial and latent class logit models. Our discrete choice analysis provides two sets of results. First, we derive the crowding multiplier estimate of travel time valuation (i.e., the ratio of the value of travel time in uncrowded and crowded situations) for London underground users. The results indicate that travel time valuation of Underground users increases by 73% when it operates at technical capacity. Second, we estimate the sensitivity of the preference for the London Underground relative to the epidemic situation (confirmed new COVID-19 cases) and interventions (vaccination rates and mandatory face masks). The sensitivity analysis suggests that making face masks mandatory is a main driver for recovering the demand for the London underground. The latent class model reveals substantial preference heterogeneity. For instance, while the average effect of mandatory face masks is positive, the preferences of 30% of pre-pandemic users for travel by the Underground are negatively affected. The positive effect of mandatory face masks on the likelihood of taking the Underground is less pronounced among males with age below 40 years, and a monthly income below 10,000 GBP. The estimated preference sensitivities and crowding multipliers are relevant for supply–demand management in transit systems and the calibration of advanced epidemiological models. |
Date Added | 5/18/2022, 9:16:06 AM |
Type | Journal Article |
---|---|
Author | B. R. Naveen |
Author | Anjula Gurtoo |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21003589 |
Volume | 116 |
Pages | 165-174 |
Publication | Transport Policy |
Date | February 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.12.005 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | As countries across the world modify their travel in the face of the Covid-19 pandemic, the first casualty becomes the public transport sector. Transport authorities across the world have reported about 95% reduction in users during peak COVID-19, decrease of fare box revenues and additional costs for disinfecting and implementing physical distancing measures. The public transport companies in India face a larger crisis as nearly 85% people travelling intercity use public road transport in normal times. In this paper we drawpassenger clusters based on their travel dynamics and develop two frameworks, namely, passenger driven transportation strategy framework and epidemic prevention strategy framework to deal with the COVID-19 induced travel changes. The frameworks use three tenets of mobility, namely, agility, integrated movement, and public based partnership. The strategies aim to enable the transport enterprises to open new windows of travel and efficiencies for the passengers rather than restricting access and choices. However, security remains fundamental to making these new and innovative service changes possible. |
Date Added | 1/13/2022, 9:18:56 AM |
Type | Journal Article |
---|---|
Author | Laetitia Dablanc |
Author | Adeline Heitz |
Author | Heleen Buldeo Rai |
Author | Diana Diziain |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22001238 |
Volume | 122 |
Pages | 85-94 |
Publication | Transport Policy |
Date | 2022-06-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.04.020 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The global COVID-19 pandemic has led to the implementation of health measures of varying degrees and scales. The lockdowns that took place in 2020, especially, have had a major impact on cities, transforming urban lifestyles, economic activities and mobility. Logistics became a priority activity. Faced with changed levels and types of consumption, freight and logistics operators in cities had to adapt, while logistics real estate developers had to face challenges related to building sites closed and regulatory and licensing processes delayed. Our main research in this paper is to characterize the way the urban freight and logistics system coped with the new situation. We focused on French cities, with Paris and the Paris metropolitan area as the main case. We implemented three surveys during and after the first lockdown in France (March–May 2020), with the views of identifying challenges while characterizing stakeholders’ response to the challenges. The three surveys took different and complementary forms, covering various categories of stakeholders: freight carriers (from small to large); third party logistics providers; on-demand delivery platforms; policy-makers; and logistics real-estate developers. We found out that operators adapted quickly and overall successfully, one major difference being between delivery operators and property developers. The first group experienced higher levels of financial and economic challenges; the second group experienced difficult relationships with administrations and regulations, while enjoying a rather high level of activity. The ability of local governments to deal with urban logistics challenges during the lockdowns was diverse and took several unexpected forms. |
Date Added | 5/13/2022, 10:34:31 AM |
Type | Journal Article |
---|---|
Author | Shasha Liu |
Author | Toshiyuki Yamamoto |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422000568 |
Volume | 159 |
Pages | 1-16 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-05-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.009 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | COVID-19 is one of the worst global health crises in a century. Japan confirmed its first case of COVID-19 in mid-January and declared a state of emergency in April and May 2020, urging people to stay at home and reduce travel. Using Mobile Spatial Statistics (i.e., population statistics created from operational data of mobile terminal networks), we estimated daily intra- and inter-prefectural population mobility in the Tokyo Megalopolis Region, Japan in 2020. Then, we developed a compartmental model with population mobility to explore the role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19. This model describes the COVID-19 pandemic through a susceptible-exposed-presymptomatic infectious-undocumented and documented infectious-removed (SEPIR) process and incorporates intra- and inter-prefectural population mobility into the transmission process. We found that people significantly reduced travel during the state of emergency, although stay-at-home requests and travel restrictions were recommended rather than mandatory. The reduction in population mobility, combined with other control measures, resulted in a substantial reduction in effective reproduction numbers to below 1, thus controlling the first wave of the pandemic. Moreover, the relationship between population mobility and COVID-19 transmission changed over time. The dampening of the second wave of the pandemic indicated that smaller reductions in population mobility could result in pandemic control, probably because of other social distancing behaviors. Our proposed model can be used to analyze the impact of different public health interventions, and our findings shed light on the effectiveness of soft containments in curbing the spread of COVID-19. |
Date Added | 4/25/2022, 9:46:32 AM |
Type | Web Page |
---|---|
URL | https://www.pedbikeinfo.org/resources/resources_details.cfm?id=5235 |
Abstract | The Shifting Streets Dataset tracks immediate responses to changing demands on public space during the COVID-19 pandemic. It is intended as a reference for researchers, practitioners, and others interested in how cities have worked to address changes in travel demand and the need for social distancing. |
Date Added | 5/10/2022, 10:29:35 AM |
Type | Journal Article |
---|---|
Author | Jueyu Wang |
Author | Nikhil Kaza |
Author | Noreen C. McDonald |
Author | Kshitiz Khanal |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22001512 |
Volume | 125 |
Pages | 70-78 |
Publication | Transport Policy |
Date | 2022-09-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.05.012 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars. |
Date Added | 7/18/2022, 11:18:55 AM |
Type | Journal Article |
---|---|
Author | Tiziana Campisi |
Author | Socrates Basbas |
Author | Nurten Akgün Tanbay |
Author | Georgios Georgiadis |
URL | http://www.witpress.com/doi/journals/TDI-V6-N1-81-94 |
Volume | 6 |
Issue | 1 |
Pages | 81-94 |
Publication | International Journal of Transport Development and Integration |
Date | 2021-12-10 |
Journal Abbr | Int. J. TDI |
DOI | 10.2495/TDI-V6-N1-81-94 |
Library Catalog | DOI.org (Crossref) |
Language | en |
Abstract | The development of transport services and infrastructures strongly depends on the characterization of the different types of road users who travel daily from one place to another for a specific purpose. In the case of a public transport (PT) system, it is essential to understand the dynamics of passenger choices in order to optimize the use of the service provided (e.g. location of stops, frequency of service, depar ture and arrival times of bus lines). The recent COVID-19 pandemic has led to the implementation of a number of measures, both by governments (such as social distancing) and by PT agencies (such as limiting the number of passengers on board), which have influenced the propensity to use this transport mode. Since May 2020, there has been an increase in the number of vehicles in circulation in Sicily, Italy, after the lockdown phase, which has clearly led to an interesting study of emerging behaviours and habits among different people. This paper attempts to identify the factors that led to reduced PT demand in Sicily after the lockdown period. Empirical findings indicated that the decrease of scheduled PT services, the limitations on the maximum people on board, the general fear of COVID-19 infection and the failure of PT system to properly adapt to the modified business hour environment have been important PT-discouraging factors in Sicily. These findings were not significantly differentiated among the various sociodemographic groups of travellers. This research can provide valuable knowledge for the optimization of urban and intercity PT services under extreme conditions such as the COVID-19 pandemic. It may also favour the diffusion of sustainable mobility strategies and disincentivize the use of the private car while also improving road safety and environmental cleanliness in urban and inter-urban space. |
Date Added | 1/18/2022, 10:18:36 AM |
Type | Journal Article |
---|---|
Author | Marco De Angelis |
Author | Claudio Durastanti |
Author | Matteo Giovannoni |
Author | Laura Moretti |
URL | https://www.sciencedirect.com/science/article/pii/S2590198222001087 |
Volume | 15 |
Pages | 100646 |
Publication | Transportation Research Interdisciplinary Perspectives |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Interdisciplinary Perspectives |
DOI | 10.1016/j.trip.2022.100646 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Background The rapid outbreak of Coronavirus disease 2019 (COVID-19) has posed several challenges to the scientific community. The goal of this paper is to investigate the spread of COVID-19 in Northern Italy during the so-called first wave scenario and to provide a qualitative comparison with the local highway net. Methods Fixed a grid of days from February 27, 2020, the cumulative numbers of infections in each considered province have been compared to sequences of thresholds. As a consequence, a time-evolving classification of the state of danger in terms of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, in view of the smallest threshold overtaken by this comparison, has been obtained for each considered province. The provinces with a significant amount of cases have then been collected into matrices containing only the ones featuring a significant amount of cases. Results The time evolution of the classification has then been qualitatively compared to the highway network, to identify similarities and thus linking the rapid spreading of COVID-19 and the highway connections. Conclusions The obtained results demonstrate how the proposed model properly fits with the spread of COVID-19 along with the Italian highway transport network and could be implemented to analyze qualitatively other disease transmissions in different contexts and time periods. |
Date Added | 7/5/2022, 11:13:01 AM |
Type | Journal Article |
---|---|
Author | Xinyi Qian |
URL | https://www.dot.state.mn.us/research/reports/2022/202205.pdf |
Pages | 138 |
Library Catalog | Zotero |
Language | en |
Abstract | The objective of this research is to assess the impact of temporarily shifting the workforce to telecommuting on: (1) workplace policy changes, employee support, and future telecommuting plans, (2) employees’ experience of telecommuting during COVID-19 and forecast of future telecommuting, and (3) differences among geographic areas, life circumstances, and demographic characteristics. The project employed a mixed-method approach, doing focus groups of human resources professionals in April 2021 and surveying workers and employers during the July through September 2021 period. |
Date Added | 7/19/2022, 9:47:55 AM |
Type | Journal Article |
---|---|
Author | Danique Ton |
Author | Koen Arendsen |
Author | Menno de Bruyn |
Author | Valerie Severens |
Author | Mark van Hagen |
Author | Niels van Oort |
Author | Dorine Duives |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422000660 |
Volume | 159 |
Pages | 55-73 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-05-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.019 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | With the arrival of COVID-19 in the Netherlands in Spring 2020 and the start of the “intelligent lockdown”, daily life changed drastically. The working population was urged to telework as much as possible. However, not everyone had a suitable job for teleworking or liked teleworking. From a mobility perspective, teleworking was considered a suitable means to alleviate travel. Even after the pandemic it can (continue to) reduce pressure on the mobility system during peak hours, thereby improving efficiency and level of service of transport services. Additionally, this could reduce transport externalities, such as emissions and unsafety. The structural impact from teleworking offers opportunities, but also challenges for the planning and operations of public transport. The aim of this study is to better understand teleworking during and after COVID-19 among train travellers, to support operators and authorities in their policy making and design. We study the telework behaviour, attitude towards teleworking, and future intentions through a longitudinal data collection. By applying a latent class cluster analysis, we identified six types of teleworkers, varying in their frequency of teleworking, attitude towards teleworking, intentions to the future, socio-demographics and employer policy. In terms of willingness-to-telework in the future, we distinguish three groups: the high willingness-to-telework group (71%), the low willingness-to-telework group (16%), and the least-impacted self-employed (12%). Those with high willingness are expected to have lasting changes in their travel patterns, where especially public transport is impacted. For this group, policy is required to ensure when (which days) and where (geographical) telework takes place, such that public transport operators can better plan and operate their services. For those with low willingness, it is essential that the government provides tools to companies (especially in education and vital sector) such that they can be better prepared for teleworking (mostly during but also after the pandemic). Employers on the other hand need to better support their employees, such that they stay in contact with colleagues and their concentration and productivity can increase. |
Date Added | 4/25/2022, 10:00:59 AM |
Type | Journal Article |
---|---|
Author | Alexa Delbosc |
Author | Graham Currie |
Author | Taru Jain |
Author | Laura Aston |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22002189 |
Volume | 127 |
Pages | 15-21 |
Publication | Transport Policy |
Date | 2022-10-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.08.007 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Significant disruptive events have the potential to change travel behaviour in the long-term. COVID-19 has caused the most significant disruption of travel behaviour in living memory. One of the most notable changes has been the increase in working from home, which was forced upon many workers during lockdowns and ‘stay at home’ orders. But much is still unknown about the long-term impacts of those changes. This study explores the influence of the COVID-19 pandemic on changing work from behaviours using the Transtheoretical Model of behaviour change. The Transtheoretical Model has been widely used to study behaviour change in health, with some application to travel behaviour change. In this paper, we explore whether people's ‘stage of change’ before COVID-19 has an impact on their long-term intent to work from home. We found that only 12% of respondents had considered working from home more before COVID, yet those that had were far more likely to intend to work from home in the long term. In addition, we unpack the influence of ‘process of change’ factors, some of which point to a potential ‘re-norming’ of attitudes toward working from home. Although self-efficacy (feeling capable to work from home) was an important factor, it was not as important as the attitudes of employers and colleagues toward working from home. Implications of the findings for research and practice are explored. |
Date Added | 9/20/2022, 1:02:41 PM |
Type | Journal Article |
---|---|
Author | Fynnwin Prager |
Author | Mohja Rhoads |
Author | Jose N. Martínez |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22001676 |
Volume | 125 |
Pages | 241-255 |
Publication | Transport Policy |
Date | 2022-09-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.06.004 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 lockdown has increased the use of flexible workplace practices (FWP) especially work from home, demonstrating their importance to the resilience of transportation systems and regional economies. This study compares experiences and perceptions of FWP and related policy interventions before and during the COVID-19 shutdown, using a mixed-methods approach focusing on the South Bay region of Los Angeles County, to inform projections about the use of FWP and policy implications post-COVID. Pre-shutdown surveys and focus groups interviews confirmed that major obstacles to FWP expansion were a combination of managerial and executive resistance, alongside occupational constraints. Pre-shutdown interviews suggested that costs associated with manager training and cultural transition are major concerns for executives. A small sample of follow-up interviews with executives, managers, and staff, conducted during the shutdown period has revealed some of the practical issues with full-time FWP such as work-life balance, childcare, productivity, IT hardware and software, and network connectivity. Although organizations have been forced into flexible arrangements, many are considering continuing to utilize the practices after the pandemic settles down. In terms of policy interventions, pre-COVID participants perceived government subsidies and incentives as the most desirable government programs. However, in a resource-constrained post-COVID world, policy makers might instead focus on training programs and promotional campaigns tied to public health messaging, and the implications of reduced commuting for transportation system design and commercial zoning and land use. |
Date Added | 7/18/2022, 11:24:34 AM |
Type | Journal Article |
---|---|
Author | Deborah Salon |
Author | Laura Mirtich |
Author | Matthew Wigginton Bhagat-Conway |
Author | Adam Costello |
Author | Ehsan Rahimi |
Author | Abolfazl (Kouros) Mohammadian |
Author | Rishabh Singh Chauhan |
Author | Sybil Derrible |
Author | Denise da Silva Baker |
Author | Ram M. Pendyala |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922002991 |
Volume | 112 |
Pages | 103473 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-11-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103473 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This study focuses on an important transport-related long-term effect of the COVID-19 pandemic in the United States: an increase in telecommuting. Analyzing a nationally representative panel survey of adults, we find that 40–50% of workers expect to telecommute at least a few times per month post-pandemic, up from 24% pre-COVID. If given the option, 90–95% of those who first telecommuted during the pandemic plan to continue the practice regularly. We also find that new telecommuters are demographically similar to pre-COVID telecommuters. Both pre- and post-COVID, higher educational attainment and income, together with certain job categories, largely determine whether workers have the option to telecommute. Despite growth in telecommuting, approximately half of workers expect to remain unable to telecommute and between 2/3 and 3/4 of workers expect their post-pandemic telecommuting patterns to be unchanged from their pre-COVID patterns. This limits the contribution telecommuting can make to reducing peak hour transport demand. |
Date Added | 11/2/2022, 9:18:52 AM |
Type | Journal Article |
---|---|
Author | Tongbin Qu |
Author | Timothy J. Gates |
Author | Chang Xu |
Author | Dan Seguin |
Author | Jonathan Kay |
URL | https://www.sciencedirect.com/science/article/pii/S1361920922003200 |
Volume | 112 |
Pages | 103494 |
Publication | Transportation Research Part D: Transport and Environment |
Date | 2022-11-01 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2022.103494 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This study sought to assess changes in active transportation behaviors due to the COVID-19 pandemic, in addition to identifying the disparate impacts between sociodemographic groups. A survey was conducted in November 2020, which collected responses from 1,000 Michigan residents statewide regarding walking and biking behaviors before, during, and anticipated post-pandemic. The survey found that people who walked or biked frequently for recreation before the pandemic maintained or increased their activities during the pandemic. More importantly, the survey also revealed differing pandemic-related impacts on walking and biking behaviors between sociodemographic groups. Specifically, people from underprivileged sociodemographic groups, such as those who are older, have lower education or income level, or identify as a minority, were less active in general before the pandemic, and these walking and biking behavior gaps were exacerbated by the pandemic. Furthermore, the elevated negative impacts on these sociodemographic groups were anticipated to continue in the future. |
Date Added | 11/2/2022, 9:22:48 AM |
Type | Journal Article |
---|---|
Author | Benjamin Gramsch |
Author | C. Angelo Guevara |
Author | Marcela Munizaga |
Author | Daniel Schwartz |
Author | Alejandro Tirachini |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22001779 |
Volume | 126 |
Pages | 136-150 |
Publication | Transport Policy |
Date | 2022-09-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.06.012 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Governments around the globe have taken different measures to tackle the COVID-19 pandemic, including the lockdown of people to decrease infections. The effect of such a strategy on transport demand is important not only for the current pandemic but also to understand changes in transport use and for future emergencies. We analyse a 2019–2020 database of smartcard data of trips from the city of Santiago, Chile, which followed a dynamic lockdown strategy in which its municipalities were temporarily restricted. We use this variation over time across municipalities to study the effect of lockdowns on public transportation using trips on buses and metro, accounting for the variation of municipalities that were under lockdown in a given day. We found a decrease of 72.3% at the beginning of the pandemic when schools suspended in-person classes, while the dynamic lockdowns reduced public transport demand by 12.1%. We also found that the effect of lockdowns decreased after the fifth week of their application, suggesting a short-term effectiveness of such policy to reduce mobility. Regarding sociodemographic effects, we found that lockdowns have a stronger impact on reducing public transport demand in municipalities with a larger proportion of the elderly population (2% additional reduction per 1% increase in the share of the elderly population) and high-income households (16% additional reduction for 1000 USD increase in GDP per capita). |
Date Added | 8/26/2022, 11:59:02 AM |
Type | Journal Article |
---|---|
Author | David A. Hensher |
Author | Edward Wei |
Author | Matthew J. Beck |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22003249 |
Volume | 130 |
Pages | 184-195 |
Publication | Transport Policy |
Date | 2023-01-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.11.012 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | There exists a substantial amount of research on the impact that the COVID-19 pandemic has had on significant changes in the location at which work takes place, especially working from home (WFH). There has been, however, very little systematic consideration given to the relationship between the substantial increase in WFH and the responses taken by organisations in reviewing their office (workspace) capacity needs in the future, including a switch of the mix of utilising workspace in the main office(s) and satellite office locations. The main aim of this paper is to explore the extent to which levels of working from home and increased use of rented satellite office space will be linked to changes in the amount of workspace required at the main office that was used pre-COVID-19. Using data from 459 businesses for three periods for pre-COVID-19, April 2022 (25 months after the outbreak of the pandemic) and stated intentions for 2023, we develop a random effects regression model for the Greater Sydney Metropolitan Area in which we identify some of the influences on the downsizing or not of the main office(s) work space, and comment on what we see as the most likely scenario for WFH and work space in the main office and rented satellite office space under the ‘next normal’. The findings can be used to inform future commuting travel as well as changes in land use activity at specific locations, including possible reallocation of existing office space to other activity uses. |
Date Added | 11/28/2022, 10:03:34 AM |
Type | Journal Article |
---|---|
Author | Lucy Downey |
Author | Achille Fonzone |
Author | Grigorios Fountas |
Author | Torran Semple |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001598 |
Volume | 163 |
Pages | 338-352 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-09-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.06.005 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This paper examines the determinants of changes in future public transport use in Scotland after the COVID-19 pandemic. An online questionnaire was distributed to 994 Scottish residents in order to identify travel habits, attitudes and preferences during the different phases of the COVID-19 outbreak and travel intentions after the pandemic. Quota constraints were enforced for age, gender and household income to ensure the sample was representative of the Scottish population. The respondents indicated that they anticipated they would make less use of buses and trains at the end of the pandemic. Over a third expect to use buses (36%) and trains (34%) less, whilst a quarter expect to drive their cars more. As part of the analysis, a random parameter bivariate probit model with heterogeneity in the means of random parameters was estimated to provide insights into the socio-demographic, behavioural and perceptual factors which might affect future public transport usage. The inclusion of random parameters allows for the potential effects of unobserved heterogeneity within the independent variables to be captured, whilst making allowances for heterogeneity in the means of the random parameters. The model estimation showed that several factors, including pre-lockdown travel choices, perceived risk of COVID-19 infection, household size and region significantly affected intended future use of public transport. In addition, several variables related to age, region, pre-lockdown travel choices and employment status resulted in random parameters. The current paper contributes to our understanding of the potential loss of demand for public transport and the consequences for future equitable and sustainable mobility. Our findings are highly relevant for transport policy when developing measures to strengthen the resilience of the public transport system during and after the pandemic. |
Date Added | 8/30/2022, 10:44:25 AM |
Type | Journal Article |
---|---|
Author | Alessio D. Marra |
Author | Linghang Sun |
Author | Francesco Corman |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21003620 |
Volume | 116 |
Pages | 258-268 |
Publication | Transport Policy |
Date | February 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.12.009 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic strongly affected mobility around the world. Public transport was particularly hindered, since people may perceive it as unsafe and decide to avoid it. Moreover, in Switzerland, several restrictions were applied at the beginning of the first pandemic wave (16/03/2020), to reduce the contagion. This study observes how the pandemic affected travel behaviour of public transport users, focusing on route choice and recurrent trips. We conducted a travel survey based on GPS tracking during the first pandemic wave, following 48 users for more than 4 months. The very same users were also tracked in spring 2019, allowing a precise comparison of travel behaviour before and during the pandemic. We analyse how the pandemic affected users, in terms of travel distance, mode share and location during the day. We specifically focus on recurrent trips, commuting and non-commuting, observing how mode and route changed between the two different periods. Finally, we estimate a route choice model for public transport (Mixed Path Size Logit), based on trips during the two different years, to identify how the route choice criteria changed during the pandemic. The main differences identified in travel behaviour during the pandemic are a different perception of costs of transfers and of travel time in train, and that users no longer have a clear preferred route for a recurrent trip, but often choose different routes. |
Date Added | 1/13/2022, 9:20:56 AM |
Type | Journal Article |
---|---|
Author | Alessa Möllers |
Author | Sebastian Specht |
Author | Jan Wessel |
URL | https://www.sciencedirect.com/science/article/pii/S096585642200235X |
Volume | 165 |
Pages | 356-375 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-11-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.09.007 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | With data from automated counting stations and controlling for weather and calendar effects, we estimate the isolated impacts of the “first wave” of Covid-19 pandemic and subsequent government intervention (contact restrictions and closures of public spaces) on walking and cycling in 10 German cities. Pedestrian traffic in pedestrian zones decreases with higher local incidence values, and with stricter government intervention. There are ambiguous effects for cycling, which decreases in cities with a higher modal share of cycling, and increases in others. Moreover, we find impact heterogeneity with respect to different weekdays and hours of the day, both for cycling and walking. Additionally, we use data on overall mobility changes, which were derived from mobile phone data, in order to estimate the modal share changes of cycling. In almost all cities, the modal share of cycling increases during the pandemic, with higher increases in non-bicycle cities and during stronger lockdown interventions. |
Date Added | 11/7/2022, 10:35:40 AM |
Type | Report |
---|---|
URL | https://tirf.ca/download/covid19-rsm2021-impact-road-safety-mobility/?dlm-dp-dl-force=1&dlm-dp-dl-nonce=6472f6f371 |
Pages | 17 |
Date | 2021 |
Institution | Traffic Injury Research Foundation |
Language | en-CA |
Abstract | This fact sheet summarizes results from the Road Safety Monitor (RSM) related to the effects of the COVID-19 pandemic on road safety and travel behaviour. The COVID-19 RSM is a special edition public opinion survey conducted by the Traffic Injury Research Foundation (TIRF) and sponsored by Desjardins. The survey takes the pulse of the nation on key road safety issues, with a specific focus on the COVID-19 pandemic and its effects on driver behaviour. The online survey was fielded to a random, representative sample of Canadians. |
Date Added | 2/1/2022, 10:33:25 AM |
Type | Journal Article |
---|---|
Author | David A. Hensher |
Author | Camila Balbontin |
Author | Matthew J. Beck |
Author | Edward Wei |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002901 |
Volume | 155 |
Pages | 179-201 |
Publication | Transportation Research Part A: Policy and Practice |
Date | January 1, 2022 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.11.011 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The need to recognise and account for the influence of working from home on commuting activity has never been so real as a result of the COVID-19 pandemic. Not only does this change the performance of the transport network, it also means that the way in which transport modellers and planners use models estimated on a typical weekday of travel and expand it up to the week and the year must be questioned and appropriately revised to adjust for the quantum of working from home. Although teleworking is not a new phenomenon, what is new is the ferocity by which it has been imposed on individuals throughout the world, and the expectation that working from home is no longer a temporary phenomenon but one that is likely to continue to some non-marginal extent given its acceptance and revealed preferences from both many employees and employ where working from home makes good sense. This paper formalises the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from home and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location. The findings, based on Wave 3 (approximately 6 months from the initial outbreak of the pandemic) of an ongoing data collection exercise, provide the first formal evidence for Australia in enabling transport planners to adjust their predicted modal shares and overall modal travel activity for the presence of working from home. |
Date Added | 1/6/2022, 9:12:57 AM |
Type | Journal Article |
---|---|
Author | João Filipe Teixeira |
Author | Miguel Lopes |
URL | https://www.sciencedirect.com/science/article/pii/S2590198220300774 |
Volume | 6 |
Pages | 100166 |
Publication | Transportation Research Interdisciplinary Perspectives |
Date | July 1, 2020 |
Journal Abbr | Transportation Research Interdisciplinary Perspectives |
DOI | 10.1016/j.trip.2020.100166 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The full societal impact COVID-19 pandemic is laid bare in urban mobility patterns. This research explored the recently published data on the operation of subway and bike share systems (BSS) during the COVID-19 outbreak in New York city, providing evidence on its impact over urban transport systems, but also on how its different components can work in conjunction. The BSS has proved to be more resilient than the subway system, with a less significant ridership drop (71% vs 90% ridership drop and 50% decrease on the ridership ratio) and an increase on its trips' average duration (from 13 min to 19 min per trip). Moreover, the study found evidence of a modal transfer from some subway users to the bike sharing system. The first effects of the free BSS programs aimed at essential service workers were also evaluated. BSS can improve the resilience of urban transport systems to disruptive events. Overall, this paper offers clues on how bike sharing, and cycling in general, can support the transition to a post-coronavirus society. |
Date Added | 1/25/2022, 11:45:08 AM |
Type | Journal Article |
---|---|
Author | Mohammadjavad Javadinasr |
Author | Tassio Maggasy |
Author | Motahare Mohammadi |
Author | Kouros Mohammadain |
Author | Ehsan Rahimi |
Author | Deborah Salon |
Author | Matthew W. Conway |
Author | Ram Pendyala |
Author | Sybil Derrible |
URL | https://www.sciencedirect.com/science/article/pii/S1369847822002169 |
Volume | 90 |
Pages | 466-484 |
Publication | Transportation Research Part F: Traffic Psychology and Behaviour |
Date | 2022-10-01 |
Journal Abbr | Transportation Research Part F: Traffic Psychology and Behaviour |
DOI | 10.1016/j.trf.2022.09.019 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | A critical challenge facing transportation planners is to identify the type and the extent of changes in people’s activity-travel behavior in the post-Covid-19 pandemic world. In this study, we investigate the travel behavior evolution by analyzing a longitudinal two-wave panel survey data conducted in the United States from April 2020 to May 2021. Encompassing nearly 3,000 respondents across different states, we explored the effects of the pandemic on four major categories of work from home, travel mode choice, online shopping, and air travel. We utilized descriptive and econometric measures, including random effects ordered probit models, to shed light on the pandemic-induced changes and the underlying factors affecting the future of mobility in the post-pandemic world. Upon concrete evidence, our findings substantiate significant observed (i.e., during the pandemic) and expected (i.e., after the pandemic) changes in people’s habits and preferences. According to our results, 48% of the respondents anticipate having the option to WFH after the pandemic, which indicates an approximately 30% increase compared to the pre-pandemic period. In the post-pandemic period, auto and transit commuters are expected to be 9% and 31% less than pre-pandemic, respectively. A considerable rise in hybrid work and grocery online shopping is expected. Moreover, 41% of pre-covid business travelers expect to have fewer flights (after the pandemic) while only 8% anticipate more, compared to the pre-pandemic. |
Date Added | 10/11/2022, 10:52:32 AM |
Type | Web Page |
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URL | https://anchor.fm/metrolinx |
Language | en |
Abstract | On this week's episode: a discussion on the Omicron variant's impact on Metrolinx and GO Transit's services. As Ontario experience a return of heavy pandemic restrictions - and a surge of new cases amid a more transmissible variant - Metrolinx has announced a reduction in service. We've brought together a roundtable to talk about why this decision was made, how omicron is affecting Metrolinx and its contractors workers, and what customers need to know. Host: Matt Llewelyn (@mattrolinx) Guests: Eve Wiggins, VP, Bus Services Rob Andrews, Director, Rail Operations Doug Tuira, Senior Manager, Network Operations Control Anne Marie Aikins, Chief Spokesperson (@metrolinxspox) Producer/Social: James Wattie (@jameswattie) |
Website Title | Anchor |
Date Added | 1/20/2022, 9:25:20 AM |
Type | Journal Article |
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Author | João Filipe Teixeira |
Author | Cecília Silva |
Author | Frederico Moura e Sá |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422000659 |
Volume | 159 |
Pages | 17-34 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-05-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.018 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | COVID-19 has dramatically impacted urban mobility, of which public transport (PT) has been particularly affected. With PT ridership plummeting due to infection fears and many people returning to work, there is a danger of a steep rise in car use that would exacerbate environmental and health problems. Therefore, other modes such as bike sharing should be considered as potential alternatives during the coronavirus pandemic. This study focuses on assessing how coronavirus has impacted bike sharing by implementing a travel behaviour survey to the users of GIRA, the bike sharing system (BSS) of Lisbon. While the coronavirus has led some to decrease the frequency of use or quit the system, other users have increased the usage or joined GIRA during the pandemic. Furthermore, most users who have quit or decreased the usage of GIRA justify their decision not so much on avoiding the risk of infection (although for some it is an important reason) but on having stopped commuting due to COVID-19. The survey has also revealed substantial changes not only on the usage patterns of GIRA users but also on their relationship with other modes of transport. While before the pandemic, most respondents were shifting from PT to GIRA, that percentage has declined, with an increase on the share of users replacing walking, private car, and personal cycling. Moreover, the motivations for using bike sharing related with avoiding PT and maintaining a social distance during the trip have gained more relevance. Concurrently, the perceived safety of using PT has drastically declined, and while the perceived safety of using GIRA has also decreased it was in a much smaller scale. Policy insights can be derived from this research on how bike sharing can contribute to a more sustainable and resilient urban transport system. During infectious public health crises such as COVID-19, BSS can be a viable transport alternative, not only providing the population with an affordable mode of transport where social distancing can be maintained in most of the trip but also mitigating a modal shift from PT to the private car. |
Date Added | 4/25/2022, 9:47:10 AM |
Type | Journal Article |
---|---|
Author | João Filipe Teixeira |
Author | Cecília Silva |
Author | Frederico Moura e Sá |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X22002761 |
Volume | 129 |
Pages | 24-37 |
Publication | Transport Policy |
Date | 2022-12-01 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2022.09.026 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The coronavirus pandemic may provoke an increase on our overreliance on private car usage due to a permanent loss of confidence on public transport (PT), threatening current decarbonization efforts of the transport sector. Thus, alternative modes like bike sharing systems (BSS) must be considered. In this study, through conducting 16 semi-structured interviews and by employing thematic analysis, we explore the users' perceptions of using Lisbon's BSS during this pandemic. Our findings show that the observed decrease on BSS usage during the COVID-19 lockdowns was mostly due to mandatory teleworking than to a perceived infection risk. Even during the height of the pandemic, users still turned to BSS to fulfil their essential trip needs. Users considered bike sharing to have a lower infection risk comparatively to PT, with some users joining BSS during the pandemic to specifically avoid using PT. Furthermore, users associate riding a shared bicycle with a pleasant activity that reduces their travel times and costs, while also providing health and environmental benefits. Consequently, bike sharing contributes to the resilience of transport systems by providing its users with a transport alternative perceived to have a low infection risk, ensuring their mobility needs during disruptive events. Findings from this research provide evidence that support policies, such as, expanding BSS coverage areas, optimizing rebalancing operations, introducing shared e-bikes, and implementing segregated cycling lanes alongside BSS. These policies may be particularly effective at increasing the competitiveness of BSS as an alternative mode during disruptive public health crises and beyond. |
Date Added | 11/8/2022, 10:09:37 AM |
Type | Report |
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Author | Paul Morris |
URL | https://www.dot.state.mn.us/research/reports/2022/202209.pdf |
Pages | 61 |
Date | April 2022 |
Library Catalog | Zotero |
Language | en |
Abstract | The Tipping Point – What COVID-19 Travel Reduction Tells Us About Effective Congestion Relief uses observed data collected before and during the COVID-19 pandemic in the Twin Cities metropolitan area to answer a question with important implications for highway investment planning and travel demand management: At what level of vehicle miles traveled (VMT) does congestion significantly decline or disappear? The study pursues this question through a series of statistical analyses identifying inflection points in the relationship between regional VMT and congestion. The study also looks at the relationship between VMT and congestion at the corridor level to assess the sensitivity of congestion on specific roadways to changes in travel demand. This analysis categorizes Twin Cities freeways based on congestion frequency, highlighting the corridors expected to become congestion free as VMT declines and the corridors expected to remain congested. |
Date Added | 5/30/2022, 9:28:49 AM |
Type | Journal Article |
---|---|
Author | Eric Molin |
Author | Maarten Kroesen |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422000520 |
Volume | 158 |
Pages | 196-209 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-04-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.005 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | To minimize the risk of becoming infected by the Coronavirus while traveling by train, the national government and the Dutch railways' operator (NS) in the Netherlands have taken several policy measures. These involve that passengers have to wear masks and guidelines are issued for working at home and teaching online. In addition, other policy measures, such as introducing a reservation system, were considered. To examine to what extent train travelers support policy measures and how these change their perception of becoming infected while traveling by train, a stated preference experiment is conducted. Respondents were asked to evaluate various combinations of policy measures, both whether they consider it safe to travel by train under the stated conditions and whether they would vote in favor of the policy package in a referendum. To analyze the data, a mediation choice model is developed, which allows disentangling the direct effect of the policy measures on support and the indirect effect mediated by infection safety perception. To illustrate this, the results show that implementing the policy measure teaching on campus with later starting times would decrease travelers’ infection safety perception and therefore indirectly decrease its support. However, the positive direct effect on support suggests that travelers like this option better than teaching online, the guideline that applied at the time of data collection. The direct and indirect effects cancel each other out, indicating that this alternative policy measure would not count on more support than the guideline teaching online. Furthermore, this paper examines the heterogeneity in the support for policy measures by presenting and discussing the results of a Latent Class Choice Model. Amongst others, the results reveal that one class strongly supports the policy measure reservation system, while another class stongly opposes this measure, suggesting that implementing this measure is not trivial as suggested by its moderate effects at the aggregate level. |
Date Added | 3/29/2022, 10:34:41 AM |
Type | Journal Article |
---|---|
Author | Ayelet Kogus |
Author | Hana Brůhová Foltýnová |
Author | Ayelet Gal-Tzur |
Author | Yuval Shiftan |
Author | Eliška Vejchodská |
Author | Yoram Shiftan |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422002075 |
Volume | 164 |
Pages | 291-309 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-10-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.08.011 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 crisis has forced many people to work from home, rather than at their regular workplace. This paper aims to assess the impact of the pandemic on telecommuting and commuting behavior after the end of the crisis: Will people embrace teleworking and reduce commuting, even to some extent, or will they resume their pre-pandemic work patterns? This study, implementing a cross-country survey from Israel and Czechia, combines data regarding revealed preferences about work habits before and during the pandemic and stated intentions data regarding anticipated work patterns when life returns to “normal” after the pandemic. Two models were used for the data analysis, one addressing factors that affect the increased/decreased teleworking trend and the other addressing factors that affect the frequency of actual commutes. The results reveal that most respondents (62% in Israel and 68% in Czechia) will maintain the same telecommuting/working from home balance. About 19% of respondents in both countries expressed their intention to reduce the number of commuting days, while 6% stated they would increase out-of-home days. However, these estimates rely only on workers’ expectations not accounting for employers’ point of view and other constraints they may have. Not accounting for potential bias, a moderate reduction of 6.5% and 8.7% (in Israel and in Czechia, respectively) in the number of commuting trips is expected in the post-pandemic era. The anticipated decrease in commuting days is accompanied by an increase in teleworking: from 10% to 14% among those who work more than 20 h a week (in both countries) and a drop in the rate of those who telework five hours or less a week (down from 73% to 63% in Israel and from 76% to 70% in Czechia). Self-employment, travel time to work, working solely on premise during the lockdown, and personal preferences regarding telework versus working away from home were found to significantly contribute to a decrease in the number of commuting days and to an increase in teleworking. An interesting finding is the high probability of increased teleworking among people who teleworked for the first time during the lockdown or who increased their teleworking time during the lockdown. This indicates that the teleworking experience due to the pandemic has enabled some people to view working from home as viable. Although, overall, the change in working habits does not seem dramatic, our results suggest that hybrid schemes for combining on premise and telework are expected to be adopted by some sectors. |
Date Added | 9/23/2022, 10:55:06 AM |
Type | Journal Article |
---|---|
Author | Matthew J. Beck |
Author | David A. Hensher |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422000635 |
Volume | 158 |
Pages | 271-284 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-04-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.03.016 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The year 2020 has been marked by the most extraordinary event we have witnessed since World War II. While other health threats and geographical disasters have occurred, none have been on the global scale of COVID-19. Although many countries have experienced more than one wave of the pandemic throughout 2020, Australia has been largely able to contain the impact of the virus. While there are many reasons for this, a key component of reducing transmission has been restrictions on movement, and the widespread adoption of working from home (WFH) by those who can. In describing the experience Australian’s have had with working from home across 2020, via three waves of data collection, we find that WFH become a positive unintended consequence in contributing to the future management of the transport network, especially in larger metropolitan areas. Evidence suggests that support for WFH will be continuing in the form of a hybrid work model with more flexible working times and locations, linked to largely positive experiences of WFH during 2020, an improved wellbeing of employees, and no loss of productivity to the economy. We highlight potential future benefits of WFH to society, including significant implications for congestion and crowding, concluding that WFH is a formidable transport policy lever that must become embedded in the psyche of transport planners and decision makers so that we can gain some benefit from the pandemic. |
Date Added | 3/29/2022, 10:32:19 AM |