Publication Type

Journal Article

Version

publishedVersion

Publication Date

11-2019

Abstract

With the rapid development and popularization of mobile and wireless communication technologies, ridesourcing companies have been able to leverage internet-based platforms to operate e-hailing services in many cities around the world. These companies connect passengers and drivers in real time and are disruptively changing the transportation indus- try. As pioneers in a general sharing economy context, ridesourcing shared transportation platforms consist of a typical two-sided market. On the demand side, passengers are sensi- tive to the price and quality of the service. On the supply side, drivers, as freelancers, make working decisions flexibly based on their income from the platform and many other fac- tors. Diverse variables and factors in the system are strongly endogenous and interactively dependent. How to design and operate ridesourcing systems is vital—and challenging—for all stakeholders: passengers/users, drivers/service providers, platforms, policy makers, and the general public. In this paper, we propose a general framework to describe ridesourcing systems. This framework can aid understanding of the interactions between endogenous and exogenous variables, their changes in response to platforms’ operational strategies and decisions, multiple system objectives, and market equilibria in a dynamic manner. Under the proposed general framework, we summarize important research problems and the cor- responding methodologies that have been and are being developed and implemented to address these problems. We conduct a comprehensive review of the literature on these problems in different areas from diverse perspectives, including (1) demand and pricing, (2) supply and incentives, (3) platform operations, and (4) competition, impacts, and reg- ulations. The proposed framework and the review also suggest many avenues requiring future research.

Keywords

Ridesourcing systems, Demand and pricing, Supply and incentives, Platform operations, Impacts and regulations

Discipline

Computer and Systems Architecture | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Transportation Research Part B: Methodological

Volume

129

First Page

122

Last Page

155

ISSN

0191-2615

Identifier

10.1016/j.trb.2019.07.009

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/j.trb.2019.07.009

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