Type | Journal Article |
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Author | Susan A. Shaheen, PhD And Stephen D. Wong |
URL | https://escholarship.org/uc/item/9nh6w2gq |
Date | 2020 |
Extra | Publisher: University of California, Institute of Transportation Studies |
DOI | 10.7922/G2DV1H5G |
Library Catalog | DOI.org (Datacite) |
Abstract | While the COVID-19 crisis has devastated many public transit and shared mobility services, it has also exposed underlying issues in how these services are provided to society. As ridership drops and revenues decline, many public and private providers may respond by cutting service or reducing vehicle maintenance to save costs. As a result, those who depend on public transit and shared mobility services, particularly those without access to private automobiles, will experience further loss of their mobility. These transportation shifts will be further influenced by changing work-from-home policies (e.g., telework). While uncertainty remains, work-from-home will likely alter public transit and shared mobility needs and patterns, necessitating different services, operation plans, and business structures. |
Date Added | 1/11/2021, 9:09:34 AM |
Type | Journal Article |
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Author | David A. Hensher |
Author | Edward Wei |
Author | MatthewJ. Beck |
Author | Camila Balbontin |
URL | http://www.sciencedirect.com/science/article/pii/S0967070X20309409 |
Volume | 101 |
Pages | 71-80 |
Publication | Transport Policy |
Date | February 1, 2021 |
Journal Abbr | Transport Policy |
DOI | 10.1016/j.tranpol.2020.12.003 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This paper estimates the short-term reduction in money and time costs associated with a reduction in car and public transport commuting activity in the Greater Sydney Metropolitan Area (GSMA) during a period of the COVID-19 pandemic in which Australia started to see an easing of restrictions (see Beck and Hensher 2020a). As of late May 2020, three months after COVID-19 resulted in restrictions in Australia, we saw an annual travel time reduction for car and public transport commuters in the GSMA of $5.58 billion, representing a 54.02% reduction in the Pre-COVID-19 total time costs, much of which we would suggest can be associated with reductions in congestions costs. Adjusting further for reduced employment volumes relative to pre-COVID-19 levels, to take into account reduced commuting activity due, in part, to a lower volume of work associated with a loss of employment or lower employment hours, the annual time cost reduction for all commuters who still have regular pre-COVID-19 levels of employment are estimated as $4.4 billion. Hence there is $1.17 billion worth of reduced time costs associated with significantly reduced employment hours, including a loss of employment. The implications for road investment linked to congestion in particular is profound, and shows how much of an increase in benefit to society, through congestion busting, can be obtained by more flexible work arrangements, even allowing for some switching into car out of public transport. Whether the current decrease in travel costs will be long-lasting is unknown, but it does support the appeal of working from home, if it is sustainable, as a policy lever to reduce levels of congestion on the roads and crowding in public transport. |
Date Added | 1/11/2021, 10:27:49 AM |
Type | Journal Article |
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Author | Songhua Hu |
Author | Peng Chen |
URL | http://www.sciencedirect.com/science/article/pii/S1361920920308397 |
Volume | 90 |
Pages | 102654 |
Publication | Transportation Research Part D: Transport and Environment |
Date | January 1, 2021 |
Journal Abbr | Transportation Research Part D: Transport and Environment |
DOI | 10.1016/j.trd.2020.102654 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic has led to a globally unprecedented decline in transit ridership. This paper leveraged the 20-years daily transit ridership data in Chicago to infer the impact of COVID-19 on ridership using the Bayesian structural time series model, controlling confounding effects of trend, seasonality, holiday, and weather. A partial least square regression was then employed to examine the relationships between the impact of ridership and various explanatory factors. Results suggested: (1) COVID-19 pandemic exerted significant effects on 95% of transit stations, leading to an average 72.4% drop in ridership. (2) Ridership declined more in regions with more commercial lands and higher percentages of white, educated, and high-income individuals. (3) Regions with more jobs in trade, transportation, and utility sectors presented smaller declines. (4) Regions with more COVID-19 cases/deaths presented smaller declines in transit ridership. Findings provide a timely understanding of the significantly reduced ridership during the pandemic and help transit agencies adjust services across different socioeconomic groups and space to better constrain virus transmission. |
Date Added | 1/15/2021, 9:23:35 AM |