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

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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Publication Details

Journal
Computational Urban Science
Published
2024-12-10
DOI
https://doi.org/10.1007/s43762-024-00157-7
Citations
5
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.02
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article

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

Alyas Widita, Ikaputra, Dyah Titisari Widyastuti
5 citations
Computational Urban Science
Transportation and Mobility Innovations
1.02
article

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

Alyas Widita, Ikaputra, Dyah Titisari Widyastuti
article en
5 citations

Abstract

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.

Computational Urban ScienceVol. 4(1)
Universitas Gadjah Mada (ID)
Sustainable cities and communities
Openalex Percentile: Top 24%
Transportation and Mobility Innovations
1.02
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The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes — Alyas Widita, Ikaputra, et al. · Computational Urban Science (2024) | TGRS Research Map | TGRS