Supply and demand management in ride-sourcing markets
Publication Type
Book
Publication Date
4-2023
Abstract
Supply and Demand Management in Ride-Sourcing Markets offers a fundamental modelling framework for characterizing ride-sourcing markets by spelling out the complex relationships among the key endogenous and exogenous variables in the markets. This book establishes several economic models that can approximate matching frictions between drivers and passengers, describes the equilibrium state of ride-sourcing markets, and more. Based on these models, develop an optimum strategy (in terms of trip fare, wage and/or matching) that maximizes platform profit. While the best social optimum solution (for maximizing the social welfare) is generally unsustainable, this book provides options governments can use to encourage second-best solutions. In addition, the authors establish models to analyze ride-pooling services, with traffic congestion externalities incorporated into models to see how both new platforms and government designs can optimize operating strategies in response to the level of traffic congestion.
Keywords
Supply and demand management, Ride-sourcing markets
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
First Page
1
Last Page
404
ISBN
9780443189371
Identifier
10.1016/C2022-0-01127-2
Publisher
Elsevier
City or Country
Amsterdam
Citation
KE, Jintao; YANG, Hai; WANG, Hai; and YIN, Yafeng.
Supply and demand management in ride-sourcing markets. (2023). 1-404.
Available at: https://ink.library.smu.edu.sg/sis_research/8492
Additional URL
https://doi.org/10.1016/C2022-0-01127-2