The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes

Alyas Widita , Ikaputra , Dyah T. Widyastuti

Computational Urban Science ›› 2024, Vol. 4 ›› Issue (1) : 44

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Computational Urban Science ›› 2024, Vol. 4 ›› Issue (1) : 44 DOI: 10.1007/s43762-024-00157-7
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The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes

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Abstract

This paper provides a baseline understanding on the anatomy of car-based ride-hailing (CBRH) and motorcycle-based ride-hailing (MBRH) trips in emerging economies, using the case of the Jakarta Metropolitan Area (JMA). Leveraging innovative urban data collection technologies, as manifested in an app-based travel survey with high granularity, this study unravels the spatial patterns of ride-hailing trips, trip-level characteristics (purpose, distance, time of day, duration), and their interaction with other modes, particularly transit. Based on recorded ride-hailing trips and a suite of descriptive analyses, findings suggest that: 1) ride-hailing is primarily a central city phenomenon, with most trips occurring to and from dense and spatially mixed neighborhoods; 2) there are substantial differences in trip characteristics between CBRH and MBRH; and 3) a predominant share of ride-hailing trips are stand-alone trips, coupled with insights that nearly 40% of ride-hailing trips likely fill the gap where quality transit services are lacking.

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Alyas Widita, Ikaputra, Dyah T. Widyastuti. The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes. Computational Urban Science, 2024, 4(1): 44 DOI:10.1007/s43762-024-00157-7

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