Equity Implications of Ride-Hail Travel during COVID-19 in California.
Transp Res Rec
; 2677(4): 1-14, 2023 Apr.
Article
Dans Anglais
| MEDLINE | ID: covidwho-2313244
ABSTRACT
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.
data and data science; effects of information and communication technologies (ICT) on travel choices; innovative public transportation services and technologies; planning and analysis; public transportation; ridehailing data; shared mobility; transportation network companies (TNC); urban transportation data and information systems
Texte intégral:
Disponible
Collection:
Bases de données internationales
Base de données:
MEDLINE
langue:
Anglais
Revue:
Transp Res Rec
Année:
2023
Type de document:
Article
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