Publication Type

Journal Article

Version

acceptedVersion

Publication Date

5-2018

Abstract

This paper studies the effects of ride-sharing among those calling on taxis in Singapore for similar origin and destination pairs at nearly the same time of day. It proposes a simple yet practical framework for taxi ride-sharing and scheduling, to reduce waiting times and travel times during peak demand periods. The solution method helps taxi users save money while helping taxi drivers serve multiple requests per day, thus increasing their earnings. A comprehensive simulation study is conducted, based on real taxi booking data for the city of Singapore, to evaluate the effect of various factors of the ride-sharing practice, e.g., waiting time, extra travel time, and taxi fare reduction. The results demonstrate that ride-sharing could serve 20%–25% more taxi booking requests and reduce traveler waiting time during peak hours. It also indicates that there is a reduction in travel distance of approximately 2–3 km per taxi trip on average, which is approximately 20%–30% of the average ride distance.

Keywords

Algorithm, Networks, vehicles, service, taxis, Singapore

Discipline

Asian Studies | Databases and Information Systems | Transportation | Urban Studies and Planning

Research Areas

Data Science and Engineering

Publication

Computers, Environment and Urban Systems

Volume

69

First Page

124

Last Page

132

ISSN

0198-9715

Identifier

10.1016/j.compenvurbsys.2018.01.006

Publisher

Elsevier

Copyright Owner and License

LARC and Authors

Additional URL

https://doi.org/10.1016/j.compenvurbsys.2018.01.006

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