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Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China

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  • He, Zhengbing

Abstract

As a newly-emerging travel mode in the era of mobile internet, ride-hailing that connects passengers with private-car drivers via an online platform has been very popular all over the world. Although it attracts much attention in both practice and theory, the understanding of ride-hailing is still very limited largely because of the lack of related data. For the first time, this paper introduces ride-hailing drivers’ multi-day trip order data and portrays ride-hailing mobility in Beijing, China, from the regional and driver’s perspectives. The analyses from the regional perspective help understand the spatiotemporal flowing of the ride-hailing demand, and those from the driver’s perspective characterize the ride-hailing drivers’ preferences in providing ride-hailing services. A series of findings are obtained, such as the observation of the spatiotemporal rhythm of a city in using ride-hailing services and two categories of ride-hailing drivers in terms of the correlation between the activity space and working time. Those findings contribute to the understanding of ride-hailing activities, the prediction of ride-hailing demand, the modeling of ride-hailing drivers’ preferences, and the management of ride-hailing services.

Suggested Citation

  • He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.
    • Handle: RePEc:eee:transa:v:146:y:2021:i:c:p:152-169
    DOI: 10.1016/j.tra.2021.01.017
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