transit use
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2022 ◽  
Vol 24 ◽  
pp. 101294
Author(s):  
Brian E. Saelens ◽  
Richard T. Meenan ◽  
Erin M. Keast ◽  
Lawrence D. Frank ◽  
Deborah R. Young ◽  
...  

2022 ◽  
Author(s):  
Matthew Palm ◽  
Jeff Allen ◽  
Yixue Zhang ◽  
Ignacio Tiznado Aitken ◽  
BRICE BATOMEN ◽  
...  

Public transit agencies face a transformed landscape of rider demand and political support as the COVID-19 pandemic continues. We explore people’s motivations for returning to or avoiding public transit a year into the pandemic. We draw on a March 2021 follow up survey of over 1,900 people who rode transit regularly prior to the COVID-19 pandemic in Toronto and Vancouver, Canada, and who took part in a prior survey on the topic in May, 2020. We model how transit demand has changed due to the pandemic, and investigate how this relates to changes in automobile ownership and its desirability. We find that pre-COVID frequent transit users between the ages of 18-29, a part of the so-called “Gen Z,” and recent immigrants are more attracted to driving due to the pandemic, with the latter group more likely to have actually purchased a vehicle. Getting COVID-19 or living with someone who did is also a strong and positive predictor of buying a car and anticipating less transit use after the pandemic. Our results suggest that COVID-19 heightened the attractiveness of auto ownership among transit riders likely to eventually purchase cars anyways (immigrants, twentysomethings), at least in the North American context. We also conclude that getting COVID-19 or living with someone who did is a significant and positive predictor of having bought a car. Future research should consider how the experiencing of having COVID-19 has transformed some travelers’ views, values, and behaviour.


2021 ◽  
Vol 118 (46) ◽  
pp. e2026160118
Author(s):  
Susan Athey ◽  
Billy Ferguson ◽  
Matthew Gentzkow ◽  
Tobias Schmidt

We estimate a measure of segregation, experienced isolation, that captures individuals’ exposure to diverse others in the places they visit over the course of their days. Using Global Positioning System (GPS) data collected from smartphones, we measure experienced isolation by race. We find that the isolation individuals experience is substantially lower than standard residential isolation measures would suggest but that experienced isolation and residential isolation are highly correlated across cities. Experienced isolation is lower relative to residential isolation in denser, wealthier, more educated cities with high levels of public transit use and is also negatively correlated with income mobility.


2021 ◽  
Vol 25 ◽  
pp. 18-26
Author(s):  
Andrew Schouten ◽  
Evelyn Blumenberg ◽  
Brian D. Taylor
Keyword(s):  

2021 ◽  
Vol 96 ◽  
pp. 103187
Author(s):  
Jeff Allen ◽  
Steven Farber ◽  
Stephen Greaves ◽  
Geoffrey Clifton ◽  
Hao Wu ◽  
...  

Author(s):  
Anne Brown ◽  
Rik Williams

COVID-19 has shocked every system in the U.S., including transportation. In the first months of the pandemic, driving and transit use fell far below normal levels. Yet people still need to travel for essential purposes like medical appointments, buying groceries, and—for those who cannot work from home—to work. For some, the pandemic may exacerbate extant travel challenges as transit agencies reduce service hours and frequency. As travelers reevaluate modal options, it remains unclear how one mode—ride-hailing—fits into the transportation landscape during COVID-19. In particular, how does the number of ride-hail trips vary across neighborhood characteristics before versus during the pandemic? And how do patterns of essential trips pre-pandemic compare with those during COVID-19? To answer these questions, we analyzed aggregated Uber trip data before and during the first two months of the COVID-19 pandemic across four regions in California. We find that during these first months, ride-hail trips fell at levels commensurate with transit (82%), while trips serving identified essential destinations fell by less (62%). Changes in ride-hail use were unevenly distributed across neighborhoods, with higher-income areas and those with more transit commuters and higher shares of zero-car households showing steeper declines in the number of trips made during the pandemic. Conversely, neighborhoods with more older (aged 45+) residents, and a greater proportion of Black, Hispanic/Latinx, and Asian residents still appear to rely more on ride-hail during the pandemic compared with other neighborhoods. These findings further underscore the need for cities to invest in robust and redundant transportation systems to create a resilient mobility network.


2021 ◽  
Author(s):  
Jeff Allen ◽  
Steven Farber ◽  
Stephen Greaves ◽  
Geoffrey Clifton ◽  
Hao Wu ◽  
...  

Public transit is immensely important among recent immigrants for enabling daily travel and activity participation. The objectives of this study are to examine whether immigrants settle in areas of high or low transit accessibility and how this affects transit mode share. This is analyzed via a novel comparison of two gateway cities: Sydney, Australia and Toronto, Canada. We find that in both cities, recent immigrants have greater levels of public transit accessibility to jobs, on average, than the overall population, but the geography of immigrant settlement is more suburbanized and less clustered around commuter rail in Toronto than in Sydney. Using logistic regression models with spatial filters, we find significant positive relationships between immigrant settlement patterns and transit mode share for commuting trips, after controlling for transit accessibility and other socio-economic factors, indicating an increased reliance on public transit by recent immigrants. Importantly, via a sensitivity analysis, we find that these effects are greatest in peripheral suburbs and rural areas, indicating that recent immigrants in these areas have more risks of transport-related social exclusion due to reliance on insufficient transit service.


2021 ◽  
Author(s):  
Qian He ◽  
Dana Rowangould ◽  
Alex Karner ◽  
Matthew Palm ◽  
Seth LaRue

The Covid-19 pandemic has decimated public transit service across the United States and caused significant decreases in ridership. Adapting to the pandemic has been more challenging for some transit riders than for others. Little is known about the reasons for 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), 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 essential transit riders, pointing to shortcomings inherent in current transit financing policy. We close with recommendations for strengthening the transit service for these groups in the long term as we recover from the pandemic.


Author(s):  
Madeleine E.G. Parker ◽  
Meiqing Li ◽  
Mohamed Amine Bouzaghrane ◽  
Hassan Obeid ◽  
Drake Hayes ◽  
...  

2021 ◽  
Vol 118 (27) ◽  
pp. e2106499118
Author(s):  
Deborah Salon ◽  
Matthew Wigginton Conway ◽  
Denise Capasso da Silva ◽  
Rishabh Singh Chauhan ◽  
Sybil Derrible ◽  
...  

Human behavior is notoriously difficult to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring about long-term behavioral changes. During the pandemic, people have been forced to experience new ways of interacting, working, learning, shopping, traveling, and eating meals. A critical question going forward is how these experiences have actually changed preferences and habits in ways that might persist after the pandemic ends. Many observers have suggested theories about what the future will bring, but concrete evidence has been lacking. We present evidence on how much US adults expect their own postpandemic choices to differ from their prepandemic lifestyles in the areas of telecommuting, restaurant patronage, air travel, online shopping, transit use, car commuting, uptake of walking and biking, and home location. The analysis is based on a nationally representative survey dataset collected between July and October 2020. Key findings include that the “new normal” will feature a doubling of telecommuting, reduced air travel, and improved quality of life for some.


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