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Future transport vision propensity segments: A latent class analysis of autonomous taxi market

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  • Dai, Jingchen
  • Wang, Xiaokun Cara
  • Ma, Wenxin
  • Li, Ruimin

Abstract

Autonomous vehicle (AV) is considered a promising mode of transport that has been tested and deployed in various cities worldwide. However, research on how AVs will transform the field of transportation has been hindered by the heavy reliance on attitude measurements and the need for responses from the public who can better represent the future. This study investigates the autonomous taxi market in Huangpu District, Guangzhou, China, where paid and publicly available autonomous taxi service has been in operation for more than a year. This study analyzes 1,158 responses from pioneering and prospective users of autonomous taxi service. Latent class analysis is used to segment autonomous taxi users into classes to reveal the differences in their views on the potential uses of AVs. This study identifies three latent classes: neutral and diverse travelers, conservative and strict travelers, and open and enjoying travelers. Results show that sociodemographic characteristics, household characteristics, and current travel behavior affect the class membership in various means. In addition, users’ perceptions of the benefits and risks of autonomous driving vary across different latent classes. Findings from this study will help improve the quality of autonomous taxi service by enabling customized service based on mobility propensities. This study will also provide insights to help with future vehicle design and transportation policy making.

Suggested Citation

  • Dai, Jingchen & Wang, Xiaokun Cara & Ma, Wenxin & Li, Ruimin, 2023. "Future transport vision propensity segments: A latent class analysis of autonomous taxi market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:transa:v:173:y:2023:i:c:s0965856423001192
    DOI: 10.1016/j.tra.2023.103699
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    1. Lyons, Glenn & Jain , Juliet & Susilo , Yusak O. & Atkins, Steve, 2013. "Comparing rail passengers’ travel time use in Great Britain between 2004 and 2010," Working papers in Transport Economics 2013:17, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Prateek Bansal & Kara M. Kockelman, 2018. "Are we ready to embrace connected and self-driving vehicles? A case study of Texans," Transportation, Springer, vol. 45(2), pages 641-675, March.
    3. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    4. Wong, Yale Z. & Hensher, David A. & Mulley, Corinne, 2020. "Mobility as a service (MaaS): Charting a future context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 5-19.
    5. Chikaraishi, Makoto & Khan, Diana & Yasuda, Banri & Fujiwara, Akimasa, 2020. "Risk perception and social acceptability of autonomous vehicles: A case study in Hiroshima, Japan," Transport Policy, Elsevier, vol. 98(C), pages 105-115.
    6. Kim, Sung Hoo & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "Identifying latent mode-use propensity segments in an all-AV era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 192-207.
    7. Nikhil Menon & Yu Zhang & Abdul Rawoof Pinjari & Fred Mannering, 2020. "A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(3), pages 253-278, April.
    8. Jonas De Vos, 2019. "Analysing the effect of trip satisfaction on satisfaction with the leisure activity at the destination of the trip, in relationship with life satisfaction," Transportation, Springer, vol. 46(3), pages 623-645, June.
    9. Nielsen, Thomas Alexander Sick & Haustein, Sonja, 2018. "On sceptics and enthusiasts: What are the expectations towards self-driving cars?," Transport Policy, Elsevier, vol. 66(C), pages 49-55.
    10. Pettigrew, Simone & Dana, Liyuwork Mitiku & Norman, Richard, 2019. "Clusters of potential autonomous vehicles users according to propensity to use individual versus shared vehicles," Transport Policy, Elsevier, vol. 76(C), pages 13-20.
    11. Areej Ahmad Alshaafee & Noorminshah A. Iahad & Mohammed A. Al-Sharafi, 2021. "Benefits or Risks: What Influences Novice Drivers Regarding Adopting Smart Cars?," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    12. Olaru, Doina & Greaves, Stephen & Leighton, Catherine & Smith, Brett & Arnold, Tony, 2021. "Peer-to-Peer (P2P) carsharing and driverless vehicles: Attitudes and values of vehicle owners," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 180-194.
    13. Papadima, Georgia & Genitsaris, Evangelos & Karagiotas, Ioannis & Naniopoulos, Aristotelis & Nalmpantis, Dimitrios, 2020. "Investigation of acceptance of driverless buses in the city of Trikala and optimization of the service using Conjoint Analysis," Utilities Policy, Elsevier, vol. 62(C).
    14. Danique Ton & Lara-Britt Zomer & Florian Schneider & Sascha Hoogendoorn-Lanser & Dorine Duives & Oded Cats & Serge Hoogendoorn, 2020. "Latent classes of daily mobility patterns: the relationship with attitudes towards modes," Transportation, Springer, vol. 47(4), pages 1843-1866, August.
    15. Teresa Brell & Ralf Philipsen & Martina Ziefle, 2019. "sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 342-357, February.
    16. Abou-Zeid, Maya & Ben-Akiva, Moshe, 2012. "Travel mode switching: Comparison of findings from two public transportation experiments," Transport Policy, Elsevier, vol. 24(C), pages 48-59.
    17. Shah, Harsh & Carrel, Andre L. & Le, Huyen T.K., 2021. "What is your shopping travel style? Heterogeneity in US households’ online shopping and travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 83-98.
    18. Yongsung Lee & Giovanni Circella & Patricia L. Mokhtarian & Subhrajit Guhathakurta, 2020. "Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California," Transportation, Springer, vol. 47(5), pages 2505-2528, October.
    19. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).
    20. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    21. Berrada, Jaâfar & Mouhoubi, Ilyes & Christoforou, Zoi, 2020. "Factors of successful implementation and diffusion of services based on autonomous vehicles: users’ acceptance and operators’ profitability," Research in Transportation Economics, Elsevier, vol. 83(C).
    22. Glenn Lyons & Juliet Jain & Yusak Susilo & Stephen Atkins, 2013. "Comparing Rail Passengers' Travel Time Use in Great Britain Between 2004 and 2010," Mobilities, Taylor & Francis Journals, vol. 8(4), pages 560-579, November.
    23. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    24. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
    25. Krügel, Sebastian & Uhl, Matthias, 2022. "Autonomous vehicles and moral judgments under risk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 1-10.
    26. Hardman, Scott & Lee, Jae Hyun & Tal, Gil, 2019. "How do drivers use automation? Insights from a survey of partially automated vehicle owners in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 246-256.
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