Spatial equity implications and neighborhood indicators of ridehailing trip frequency and vehicle miles traveled in the phoenix metro region

Steven R. Gehrke () and Michael P. Huff ()
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Steven R. Gehrke: Northern Arizona University
Michael P. Huff: Northern Arizona University

Transportation, 2024, vol. 51, issue 1, No 11, 295 pages

Abstract: Abstract Early optimism for ridehailing services to complement existing public transit services and offer individuals another shared mobility service with reduced travel costs and improved travel times have largely proven to be unsubstantiated. This unwelcomed outcome, in part due to the popularity of ridehailing services among wealthier populations and restrictions on the less-expensive ridesharing service in some urban settings, has likely instead resulted in heightened disparities in access to this on-demand mobility option for historically-marginalized populations and under-resourced communities. This hypothesis is examined by estimating the macro-level socioeconomic and built environment determinants of ridehailing pick-ups and drop-offs in the Phoenix metro region with spatial lag of X modeling. A geographically weighted regression (GWR) model of vehicle miles traveled was then estimated using route-level ridehailing data from a third-party mileage tracking app to identify zonal attributes associated with this measure of vehicle-based exposure. Together, study findings highlight the benefits and drawbacks of greater ridehailing service activity, identifying a need for programs and interventions that safeguard and improve access to affordable high-quality mobility options for transportation disadvantaged neighborhoods.

Keywords: Ridehailing; Ridesourcing; Transportation network company (TNC); Spatial equity; Geographically weighted regression (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11116-022-10327-3

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