How does autonomous vehicles affect taxi industry? A two-stage Van Damme based tripartite evolutionary game perspective

Lipo Mo, Zhaoyu Cui, Rongwen Jia, Kangyin Dong () and Chuan Zhao

Research in Transportation Economics, 2024, vol. 103, issue C

Abstract: As urban passenger transportation focuses more on economic efficiency and road safety, autonomous driving technology is being introduced in the taxi industry. Interests differ among automobile manufacturers, taxi companies, and the government in promoting the adoption of autonomous taxis (ATs). This paper investigates the impact of multiple factors in the mixed traffic operation mode on the tripartite game using the two-stage Van Damme model. It also analyzes the game-breaking key to automobile manufactures' decision in the dual stable situation. The findings are as follows: (1) Under government non-promotion, independent R&D guides taxi companies to adopt ATs more effectively. Under government promotion, the social acceptance and loss of technology dominance have varying impacts on the game results. (2) Adjusting infrastructure cost and subsidy intensity can lead to a single stable situation when taxi companies and the government adopt a wait-and-see approach. (3) The loss of technology dominance shifts game leader from automobile manufacturers to the government. (4) Taxi companies would only adopt ATs when the social acceptance is moderate, as it exhibits an inverted U-shaped relationship. These findings provide valuable insights for how to better promote the adoption of ATs under both promotion and non-promotion by the government.

Keywords: Autonomous taxis; Government promotion strategies; Two-stage van damme; Tripartite evolutionary game; Transportation technologies (search for similar items in EconPapers)
JEL-codes: C73 D47 E62 H54 L62 O31 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.retrec.2023.101387

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