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As a newly-emerging travel mode in the era of mobile internet, ride-hailingthat connects passengers with private-car drivers via an online platform hasbeen very popular all over the world. Although it attracts much attention inboth practice and theory, the understanding of ride-hailing is still verylimited largely because of the lack of related data. For the first time, thispaper introduces ride-hailing drivers' multi-day trip order data and portraysride-hailing mobility in Beijing, China, from the regional and driver'sperspectives. The analyses from the regional perspective help understand thespatiotemporal flowing of the ride-hailing demand, and those from the driver'sperspective characterize the ride-hailing drivers' preferences in providingride-hailing services. A series of findings are obtained, such as theobservation of the spatiotemporal rhythm of a city in using ride-hailingservices and two categories of ride-hailing drivers in terms of the correlationbetween the activity space and working time. Those findings contribute to theunderstanding of ride-hailing activities, the prediction of ride-hailingdemand, the modeling of ride-hailing drivers' preferences, and the managementof ride-hailing services.

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