Type | Journal Article |
---|---|
Author | Maher Said |
Author | Emma R. Zajdela |
Author | Amanda Stathopoulos |
URL | http://arxiv.org/abs/2108.01615 |
Publication | arXiv:2108.01615 [cs, econ, q-fin] |
Date | 2021-08-03 |
Extra | arXiv: 2108.01615 |
Library Catalog | arXiv.org |
Abstract | One of the most notable global transportation trends is the accelerated pace of development in vehicle automation technologies. Uncertainty surrounds the future of automated mobility as there is no clear consensus on potential adoption patterns, ownership versus shared use status and travel impacts. Adding to this uncertainty is the impact of the COVID-19 pandemic that has triggered profound changes in mobility behaviors as well as accelerated the adoption of new technologies at an unprecedented rate. This study examines the impact of the COVID-19 pandemic on willingness to adopt the emerging new technology of self-driving vehicles. Using data from a survey disseminated in June 2020 to 700 respondents in contiguous United States, we perform a difference-in-difference regression to analyze the shift in willingness to use autonomous vehicles as part of a shared fleet before and during the pandemic. The results reveal that the COVID-19 pandemic has a positive and highly significant impact on consideration of autonomous vehicles. This shift is present regardless of techsavviness, gender or political views. Individuals who are younger, left-leaning and frequent users of shared modes of travel are expected to become more likely to use autonomous vehicles once offered. Understanding the effects of these attributes on the increase in consideration of AVs is important for policy making, as these effects provide a guide to predicting adoption of autonomous vehicles - once available - and to identify segments of the population likely to be more resistant to adopting AVs. |
Date Added | 12/1/2021, 4:32:19 PM |
Type | Web Page |
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Author | Canadian Centre for Occupational Health and Safety Government of Canada |
URL | https://www.ccohs.ca/products/courses/rtw-covid/ |
Date | 2021-11-30 |
Extra | Last Modified: 2021-11-30 |
Language | eng |
Abstract | The Canadian Centre for Occupational Health and Safety (CCOHS) promotes a safe and healthy working environment by providing occupational health and safety information and advice. With businesses reopening, many workers are or will be returning to the workplace for the first time since the COVID-19 pandemic began. Some workplaces have been closed or operating with minimum staff for an extended period of time. Employers should consider how to prepare their workplaces to make sure they are safe for occupancy. This free 30-minute course provides an overview of COVID-19 control measures, how to prepare your workplace for a safe return, communication strategies, and long-term safety measures. |
Date Added | 11/30/2021, 10:49:10 AM |
Type | Web Page |
---|---|
Author | Canadian Centre for Occupational Health and Safety Government of Canada |
URL | https://www.ccohs.ca/products/courses/rtw-covid-preparing/ |
Date | 2021-11-30 |
Extra | Last Modified: 2021-11-30 |
Language | eng |
Abstract | The Canadian Centre for Occupational Health and Safety (CCOHS) promotes a safe and healthy working environment by providing occupational health and safety information and advice. With businesses reopening, many workers are or will be returning to the workplace for the first time since the COVID-19 pandemic began. Since each workplace is unique, employers should consider the personal risk factors and needs of their workers, and how to prepare them for a safe return to the workplace. This free 30-minute course provides employers with considerations and steps to take when preparing workers for a safe return to the workplace. |
Date Added | 11/30/2021, 10:51:48 AM |
Type | Journal Article |
---|---|
Author | Agustina Calatayud |
Author | Felipe Bedoya-Maya |
Author | Santiago Sánchez González |
Author | Francisca Giraldez |
URL | https://www.sciencedirect.com/science/article/pii/S0967070X21003048 |
Volume | 115 |
Pages | 4-13 |
Publication | Transport Policy |
Date | January 1, 2022 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2021.10.022 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The trucking industry is the backbone of domestic supply chains. In the context of the COVID-19 pandemic, road transportation has been essential to guarantee the supply of basic goods to confined urban areas. However, the connectivity of the trucking network can also act as an efficient virus spreader. This paper applies network science to uncover the characteristics of the trucking network in one major Latin American country −Colombia− and provides evidence on freight networks’ ability to spread contagious diseases spatially. Network metrics, official COVID-19 records at the municipality level, and a zero-inflated negative binomial model are used to test the association between network topology and confirmed COVID-19 cases. Results suggest that: (i) the number of COVID-19 cases in a municipality is linked to its level and type of network centrality; and (ii) being a port-city and a primary economic hub in the trucking network is associated with a higher probability of contracting earlier a pandemic. Based on these results, a risk-based approach is proposed to help policymakers implement containment measures. |
Date Added | 12/2/2021, 4:48:55 PM |
Type | Journal Article |
---|---|
Author | Zhiyong Liu |
Author | Xiaokun “Cara” Wang |
Author | Jingchen Dai |
Author | Xiangmin Li |
Author | Ruimin Li |
URL | https://ascelibrary.org/doi/abs/10.1061/JTEPBS.0000630 |
Rights | © 2021 American Society of Civil Engineers |
Volume | 148 |
Issue | 2 |
Pages | 05021011 |
Publication | Journal of Transportation Engineering, Part A: Systems |
Date | 2022/02/01 |
Extra | Publisher: American Society of Civil Engineers |
DOI | 10.1061/JTEPBS.0000630 |
Library Catalog | ASCE |
Language | EN |
Abstract | The COVID-19 pandemic has caused worldwide lockdowns and similar containment measures aiming to curb the spread of the virus. Lockdown measures have been implemented in cities amid the COVID-19 outbreak. After the pandemic is under control, cities will be gradually reopened. This study aims to investigate the variations in urban travel behavior during the lockdown and reopening phases. On the basis of long-term traffic congestion index data and subway ridership data in eight typical cities of China, this study carried out comparisons on urban travel behaviors with and without the pandemic. Changes in the multimodal travel behaviors in different times of day and days of week are analyzed during the lockdown and reopening phases. Multivariate and one-way analyses of variance are conducted to show the statistical significance of the changes. This study further investigates the relationship between the returned-to-work (RTW) rate and travel behaviors in the reopening phase. A stepwise multiple regression is conducted to quantify the impacts of influencing factors (i.e., population migration index, RTW rate, socioeconomic indices, and pandemic statistical indicators) on vehicular traffic after reopening. Results show that the lockdown measure has a significant impact on reducing the traffic congestion during the peak hours on workdays, and the subway ridership dropped to below 10% of the prepandemic level during the lockdown phase. Travel demands tended to switch from subways to private vehicular travel modes during the reopening phase, leading to a rapid recovery of vehicular traffic and a slow recovery of subway ridership. The recovery of vehicular traffic is proved to be related to the RTW rate, certain city characteristics, and new COVID-19 cases after city reopening. |
Date Added | 11/22/2021, 9:35:59 AM |
Type | Blog Post |
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URL | https://torontoafterthefirstwave.com/dashboards/mobility/ |
Language | en-US |
Abstract | Toronto After the First Wave was launched in Fall 2020 with initial support from the MITACS Research Training Award. It is a dashboard and data visualization initiative meant to provide insights on the impacts of COVID-19 on Toronto, focused on the city’s urban economic vibrancy. Updated regularly, the interactive dashboards are developed by an interdisciplinary team of researchers at the University of Toronto. The Toronto After the First Wave research team is always exploring new data sources and findings, and learning as we go. |
Date Added | 12/1/2021, 11:26:56 AM |
Type | Web Page |
---|---|
URL | https://www.cts.umn.edu/news/2021/november/trails |
Abstract | As gyms and indoor health facilities closed during the beginning of the pandemic, people flocked to trails and parks, creating both opportunities and concerns for public health and land managers. The US Centers for Disease Control and Prevention (CDC) recommended a six-foot distance between people (even outdoors), but little was known about compliance with these recommendations. Now, a study led by U of M researchers finds that more than half of pandemic trail users were at risk of COVID-19 exposure during this time. The researchers used a novel approach for the study, integrating in-person observations of trail groups with automated monitoring of trail traffic volumes. |
Date Added | 11/30/2021, 11:06:13 AM |
Type | Journal Article |
---|---|
Author | Ramon Auad |
Author | Kevin Dalmeijer |
Author | Connor Riley |
Author | Tejas Santanam |
Author | Anthony Trasatti |
Author | Pascal Van Hentenryck |
Author | Hanyu Zhang |
URL | https://www.sciencedirect.com/science/article/pii/S0968090X21004125 |
Volume | 133 |
Pages | 103418 |
Publication | Transportation Research Part C: Emerging Technologies |
Date | December 1, 2021 |
Journal Abbr | Transportation Research Part C: Emerging Technologies |
DOI | 10.1016/j.trc.2021.103418 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | During the COVID-19 pandemic, the collapse of the public transit ridership led to significant budget deficits due to dramatic decreases in fare revenues. Additionally, public transit agencies are facing challenges of reduced vehicle capacity due to social distancing requirements, additional costs of cleaning and protective equipment, and increased downtime for vehicle cleaning. Due to these constraints on resources and budgets, many transit agencies have adopted essential service plans with reduced service hours, number of routes, or frequencies. This paper studies the resiliency during a pandemic of On-Demand Multimodal Transit Systems (ODMTS), a new generation of transit systems that combine a network of high-frequency trains and buses with on-demand shuttles to serve the first and last miles and act as feeders to the fixed network. It presents a case study for the city of Atlanta and evaluates ODMTS for multiple scenarios of depressed demand and social distancing representing various stages of the pandemic. The case study relies on an optimization pipeline that provides an end-to-end ODMTS solution by bringing together methods for demand estimation, network design, fleet sizing, and real-time dispatching. These methods are adapted to work in a multimodal setting and to satisfy practical constraints. In particular, a limit is imposed on the number of passenger transfers, and a new network design model is introduced to avoid the computational burden stemming from this constraint. Real data from the Metropolitan Atlanta Rapid Transit Authority (MARTA) is used to conduct the case study, and the results are evaluated with a high-fidelity simulation. The case study demonstrates how ODMTS provide a resilient solution in terms of cost, convenience, and accessibility for this wide range of scenarios. |
Date Added | 12/1/2021, 11:30:36 AM |
Type | Journal Article |
---|---|
Author | Basthiann A. Bilde |
Author | Morten L. Andersen |
Author | Steven Harrod |
URL | https://ascelibrary.org/doi/abs/10.1061/JTEPBS.0000633 |
Rights | © 2021 American Society of Civil Engineers |
Volume | 148 |
Issue | 2 |
Pages | 04021105 |
Publication | Journal of Transportation Engineering, Part A: Systems |
Date | 2022/02/01 |
Extra | Publisher: American Society of Civil Engineers |
DOI | 10.1061/JTEPBS.0000633 |
Library Catalog | ASCE |
Language | EN |
Abstract | Public transport is a critical service in Copenhagen, Denmark, because many residents do not own a car, and in any event, car travel is not practical in the city center due to narrow roads and lack of parking. In response to COVID-19, Danish public health authorities have established a minimum 1-m social distancing policy in public spaces. This study simulates passenger pedestrian flow in three representative stations of the Copenhagen metro to determine if these goals can be attained and if any physical changes should be made. The study is conducted with a microsimulation in commercially available software of the passenger flow in three representative stations, with small, medium, and large traffic flows. The simulation is agent-based, and the individual objective function is minimum cost according to walking distance, comfort, and frustration. The results show that for the majority of stations, the physical infrastructure and the expected traffic flow are compatible with the social distancing goals. However, for a few of the highest demand stations, particularly those that serve as intermodal hubs, there are great difficulties in achieving the desired social distancing measures. In particular, the intermodal hub station of Nørreport does not possess corridors and escalators that are distributed correctly according to the pedestrian flow. This station is underground, and it is unfortunately not easy to change this infrastructure. |
Date Added | 11/29/2021, 10:04:50 AM |
Type | Blog Post |
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URL | https://www.municipalworld.com/podcasts/small-business-pandemic/ |
Language | en-CA |
Abstract | Bonnie Brown, Director of Economic Development for the City of Mississauga, joins Municipal World Editor Scott Vokey to talk about how the city’s economic development office is helping small businesses cope with the COVID-19 pandemic. |
Blog Title | Municipal World |
Date Added | 12/1/2021, 9:37:59 AM |
Type | Web Page |
---|---|
URL | https://tti.tamu.edu/thinking-transportation/episode-22-strong-as-their-weakest-link-what-the-pandemic-taught-us-about-supply-chains/ |
Language | en-US |
Abstract | Supply chains everywhere were strained to their limits long before the COVID-19 outbreak. The pandemic simply exposed weaknesses that were already there. TTI’s Senior Research Scientist Jolanda Prozzi and Research Scientist Juan Villa share new understanding about the complexity and fragility of the systems we depend on to get our goods where they need to go. |
Website Title | Texas A&M Transportation Institute |
Date Added | 12/1/2021, 11:03:15 AM |
Type | Web Page |
---|---|
URL | https://www.governing.com/now/what-does-history-teach-us-about-pandemics-and-transit-ridership |
Date | 2021-11-24T17:13:58.413 |
Extra | Section: The Future of What’s Happening Now |
Language | en |
Abstract | In 1918, with the Spanish flu raging, workers had little choice but to continue riding the trams and trains. Today, at least in America, they can work from home or ride alone in their car. |
Website Title | Governing |
Date Added | 11/30/2021, 11:09:46 AM |