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 | 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 | 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 | 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 | 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 | 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 |
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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 |