Publication Type
Journal Article
Version
submittedVersion
Publication Date
2-2026
Abstract
This paper studies how dynamic pricing influences taxi drivers’ behaviors using a unique event, the inception of the JustGrab program in Singapore in 2017, which introduces dynamic pricing to some, but not all, taxi drivers. This is the first time in history that traditional taxi drivers have access to dynamic pricing. Using data covering the universe of taxi trips before and after the inception of JustGrab, we find that there is spatial reallocation that directs more taxi drivers to the previously less-served areas, that there is also a temporal reallocation that directs more taxi drivers to rush hours, as well as lunch hours, and that there is an overall increase in labor supply. Our results suggest that taxi drivers benefit from access to dynamic pricing. As the proliferation of app-based ride-hailing technology has encountered various degrees of opposition from the taxi industry in cities across the globe, such a lesson from JustGrab is worth attention.
Keywords
Price mechanism, Dynamic pricing, Taxi drivers, JustGrab
Discipline
Databases and Information Systems | Data Science | Industrial Organization | Transportation
Research Areas
Applied Microeconomics
Publication
Regional Science and Urban Economics
Volume
117
First Page
1
Last Page
15
ISSN
0166-0462
Identifier
10.1016/j.regsciurbeco.2025.104186
Publisher
Elsevier
Embargo Period
1-9-2025
Citation
CHENG, Shih-Fen; HSU, Wen-Tai; and LI, Jing.
When taxi drivers meet dynamic pricing: A lesson from Singapore's JustGrab program. (2026). Regional Science and Urban Economics. 117, 1-15.
Available at: https://ink.library.smu.edu.sg/soe_research/2794
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.regsciurbeco.2025.104186
Included in
Databases and Information Systems Commons, Data Science Commons, Industrial Organization Commons, Transportation Commons