IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v103y2024ics0739885923001270.html
   My bibliography  Save this article

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

Author

Listed:
  • Mo, Lipo
  • Cui, Zhaoyu
  • Jia, Rongwen
  • Dong, Kangyin
  • Zhao, Chuan

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.

Suggested Citation

  • Mo, Lipo & Cui, Zhaoyu & Jia, Rongwen & Dong, Kangyin & Zhao, Chuan, 2024. "How does autonomous vehicles affect taxi industry? A two-stage Van Damme based tripartite evolutionary game perspective," Research in Transportation Economics, Elsevier, vol. 103(C).
    • Handle: RePEc:eee:retrec:v:103:y:2024:i:c:s0739885923001270
    DOI: 10.1016/j.retrec.2023.101387
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885923001270
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2023.101387?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. Devyani Pande & Araz Taeihagh, 2023. "Navigating the governance challenges of disruptive technologies: insights from regulation of autonomous systems in Singapore," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 26(3), pages 298-319, July.
    3. Axsen, Jonn & Kurani, Kenneth S., 2013. "Hybrid, plug-in hybrid, or electric—What do car buyers want?," Energy Policy, Elsevier, vol. 61(C), pages 532-543.
    4. Luo, Qi & Saigal, Romesh & Chen, Zhibin & Yin, Yafeng, 2019. "Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 226-243.
    5. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    6. Peng Liu & Run Yang & Zhigang Xu, 2019. "Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 326-341, February.
    7. Liukai Yu & Xuehai Jiang & Yujie He & Yangyang Jiao, 2022. "Promoting the Diffusion of New Energy Vehicles under Dual Credit Policy: Asymmetric Competition and Cooperation in Complex Network," Energies, MDPI, vol. 15(15), pages 1-20, July.
    8. Kröger, Lars & Kuhnimhof, Tobias & Trommer, Stefan, 2019. "Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 146-161.
    9. Zhang, Hao & Cai, Guixin, 2020. "Subsidy strategy on new-energy vehicle based on incomplete information: A Case in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    10. Zhu, Lijing & Wang, Peize & Zhang, Qi, 2019. "Indirect network effects in China’s electric vehicle diffusion under phasing out subsidies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    11. Hansson, Lisa, 2020. "Regulatory governance in emerging technologies: The case of autonomous vehicles in Sweden and Norway," Research in Transportation Economics, Elsevier, vol. 83(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Chuan & Peng, Lin & Dong, Kangyin & Yang, Haoxiong, 2024. "Government policies on port resilience amid strike events—A two-stage Van Damme based tripartite evolutionary game," Transportation Research Part A: Policy and Practice, Elsevier, vol. 188(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    2. Wee, Sherilyn & Coffman, Makena & Allen, Scott, 2020. "EV driver characteristics: Evidence from Hawaii," Transport Policy, Elsevier, vol. 87(C), pages 33-40.
    3. Seung Jun Choi & Junfeng Jiao, 2024. "Uncovering electric vehicle ownership disparities using K-means clustering analysis: A case study of Austin, Texas," Journal of Computational Social Science, Springer, vol. 7(3), pages 2403-2456, December.
    4. Cecere, Grazia & Corrocher, Nicoletta & Guerzoni, Marco, 2018. "Price or performance? A probabilistic choice analysis of the intention to buy electric vehicles in European countries," Energy Policy, Elsevier, vol. 118(C), pages 19-32.
    5. Sovacool, Benjamin K. & Abrahamse, Wokje & Zhang, Long & Ren, Jingzheng, 2019. "Pleasure or profit? Surveying the purchasing intentions of potential electric vehicle adopters in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 69-81.
    6. Nykvist, Björn & Sprei, Frances & Nilsson, Måns, 2019. "Assessing the progress toward lower priced long range battery electric vehicles," Energy Policy, Elsevier, vol. 124(C), pages 144-155.
    7. Ma, Shao-Chao & Fan, Ying, 2020. "A deployment model of EV charging piles and its impact on EV promotion," Energy Policy, Elsevier, vol. 146(C).
    8. Almeida Neves, Sónia & Cardoso Marques, António & Alberto Fuinhas, José, 2019. "Technological progress and other factors behind the adoption of electric vehicles: Empirical evidence for EU countries," Research in Transportation Economics, Elsevier, vol. 74(C), pages 28-39.
    9. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    10. White, Lee V. & Sintov, Nicole D., 2017. "You are what you drive: Environmentalist and social innovator symbolism drives electric vehicle adoption intentions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 94-113.
    11. Larson, Paul D. & Viáfara, Jairo & Parsons, Robert V. & Elias, Arne, 2014. "Consumer attitudes about electric cars: Pricing analysis and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 299-314.
    12. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    13. Tamara L. Sheldon & J. R. DeShazo & Richard T. Carson, 2017. "Electric And Plug-In Hybrid Vehicle Demand: Lessons For An Emerging Market," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 695-713, April.
    14. José M. Cansino & Antonio Sánchez-Braza & Teresa Sanz-Díaz, 2018. "Policy Instruments to Promote Electro-Mobility in the EU28: A Comprehensive Review," Sustainability, MDPI, vol. 10(7), pages 1-27, July.
    15. Xingping Zhang & Jian Xie & Rao Rao & Yanni Liang, 2014. "Policy Incentives for the Adoption of Electric Vehicles across Countries," Sustainability, MDPI, vol. 6(11), pages 1-23, November.
    16. Bhat, Furqan A. & Verma, Ashish, 2024. "Electric two-wheeler adoption in India – A discrete choice analysis of motivators and barriers affecting the potential electric two-wheeler buyers," Transport Policy, Elsevier, vol. 152(C), pages 118-131.
    17. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    18. Cohen, Jed & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2019. "Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles," Energy Economics, Elsevier, vol. 83(C), pages 567-577.
    19. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
    20. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).

    More about this item

    Keywords

    Autonomous taxis; Government promotion strategies; Two-stage van damme; Tripartite evolutionary game; Transportation technologies;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:103:y:2024:i:c:s0739885923001270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.