Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership
Source abstract
Abstract
Researchers have applied a series of global models to investigate the link between the built environment and ride-hailing ridership based on ride-hailing data from one specific transportation network company (TNC). However, these research designs inadequately represent real ride-hailing demand within a specific spatial range and cannot reflect spatiotemporal heterogeneity in the link. For the first time, this study collects all demand data of TNCs in Nanjing and analyzes their relationship with the built environment. The effect of taxi demand is considered. We adopt a multiscale geographically weighted regression model to account for the spatial non-stationarity and the multiscale effect of each built environment variable. The findings reveal spatiotemporal heterogeneous relationships of the built environment with ride-hailing ridership. Although the relationship between taxi and ride-hailing ridership varies across spatial locations, ride-hailing always acts as a cooperator for traditional taxis. The findings provide implications for policy making, urban planning, and travel demand management of ride-hailing.
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Research context
OpenAlex topics: Transportation and Mobility Innovations · Urban Transport and Accessibility · Transportation Planning and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China
College of Civil and Transportation Engineering, Hohai University, Nanjing 210024, China
Funding
National Natural Science Foundation of China · China Postdoctoral Science Foundation · Fundamental Research Funds for Central Universities · Humanities, Social Sciences Fund of Ministry of Education of China · Postgraduate Research & Practice Innovation Program of Jiangsu Province
References (42)
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