Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2019
Abstract
In many cities in the world, ride sharing companies, such as Uber, Didi, Grab and Lyft, have been able to leverage on Internet-based platforms to conduct online decision making to connect passengers and drivers. These online platforms facilitate the integration of passengers and drivers’ mobility data on smart phones in real-time, which enables a convenient matching between demand and supply in real time. These clear operational advantages have motivated many similar shared service business models in the public transportation arena, and have been a disruptive force to the traditional taxi industry.
Discipline
Computer and Systems Architecture | Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of the 10th Triennial Symposium on Transportation Analysis, Hamilton Island, Australia, 2019 June 17-21
First Page
1
Last Page
4
City or Country
Hamilton Island, Australia
Citation
LYU, Guodong; TEO, Chung Piaw; CHEUNG, Wangchi; and WANG, Hai.
Matching passengers and drivers with multiple objectives in ride sharing markets. (2019). Proceedings of the 10th Triennial Symposium on Transportation Analysis, Hamilton Island, Australia, 2019 June 17-21. 1-4.
Available at: https://ink.library.smu.edu.sg/sis_research/6873
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.