Exploring the operational characteristics of ride-sourcing in an urban area
The emergence of ride-sourcing services has radically changed travel behavior and has important implications for future urban mobility. However, despite the growing market for mobility-on-demand (MOD), empirical studies on the operational characteristics of ride-sourcing systems are sparse. This paper provides an exploratory analysis of the operations of ride-sourcing using large-scale dis-aggregate mobility service data and documents the findings. From a case study in Singapore, the authors found that the demand follows reproducible patterns, which allows for realistic estimates of fleet operations over time and space. High travel demand during peak periods is observed along with a surge in prices (by 1.6 times on average). Shift behavior such as number of shifts, shift duration, and choices of shift start and end time affect fleet operations and fleet utilization rate. From the user metrics, the authors found that passengers may experience higher waiting and travel time due to the longer distance required to pickup in residential areas, the network congestion in commercial and business districts, and the detouring effects for sharing. Finally, the driver's total and marginal revenue were analyzed, which indicated a lower average revenue per unit time, distance, and service item in a shared ride compared to a single ride. These empirical observations can help understand the spatio-temporal characteristics of ride-sourcing operations in an urban area and provide insights for transportation planning and operations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22105395
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Oh, Simon
- Kondor, Daniel
- Seshadri, Ravi
- Le, Diem-Trinh
- Alho, Andre Romano
- Zhou, Meng
- Ben-Akiva, Moshe
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 100827
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Serial:
- Research in Transportation Business & Management
- Volume: 43
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2210-5395
- Serial URL: http://www.sciencedirect.com/science/journal/22105395
Subject/Index Terms
- TRT Terms: Mobility; Ridesourcing; Transportation planning; Travel behavior; Urban areas
- Geographic Terms: Singapore
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01846494
- Record Type: Publication
- Files: TRIS
- Created Date: May 24 2022 10:08AM