A Balancing Act of Regulating On-Demand Ride Services

Author:

Yu Jiayi Joey1ORCID,Tang Christopher S.2ORCID,Max Shen Zuo-Jun3ORCID,Chen Xiqun Michael4ORCID

Affiliation:

1. Department of Industrial Engineering, Tsinghua University, Beijing 100084, China;

2. Anderson Graduate School of Management, University of California, Los Angeles, Los Angeles, California 90095;

3. Department of Industrial Engineering and Operations Research, Department of Civil and Environmental Engineering, TBSI, University of California, Berkeley, Berkeley CA 94720;

4. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

Abstract

Regulating on-demand ride-hailing services (e.g., Uber and DiDi) requires a balance of multiple competing objectives: encouraging innovative business models (e.g., DiDi), sustaining traditional industries (e.g., taxi), creating new jobs, and reducing traffic congestion. This study is motivated by a regulatory policy implemented by the Chinese government in 2017 and a similar policy approved by the New York City Council in 2018 that regulate the “maximum” number of registered Uber/DiDi drivers. We examine the impact of these policies on the welfare of different stakeholders (i.e., consumers, taxi drivers, on-demand ride service company, and independent drivers). By analyzing a two-period dynamic game that involves these stakeholders, we find that, without government intervention, the on-demand ride service platform can drive the traditional taxi industry out of the market under certain conditions. Relative to no regulations and a complete ban policy, a carefully designed regulatory policy can strike a better balance of multiple competing objectives. Finally, if a government can reform the taxi industry by adjusting the taxi fare, then lowering the taxi fare instead of imposing a strict policy toward on-demand ride services can improve the total social welfare. This paper was accepted by Serguei Netessine, operations management.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

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