IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13656-d949664.html
   My bibliography  Save this article

Understanding Shared Autonomous Vehicle Preferences: A Comparison between Shuttles, Buses, Ridesharing and Taxis

Author

Listed:
  • Samuel Chng

    (Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore 487372, Singapore)

  • Sabreena Anowar

    (Department of Civil and Environmental Engineering, Department of Architectural Studies, University of Missouri, Columbia, MO 65211, USA)

  • Lynette Cheah

    (Engineering Systems and Design, Singapore University of Technology and Design, Singapore 487372, Singapore)

Abstract

Shared autonomous vehicles (AVs) will soon be introduced in public transportation as cities and their transportation systems become ‘smarter’. This brings long-term environmental, economic and societal benefits to cities. However, shared AVs will not only need to overcome technological challenges but also prevail against social barriers for successful marketplace penetration. Hence, we proposed and investigated the acceptance of four shared AV service designs for public use in this study, namely, autonomous buses, shuttles, AV rideshares and autonomous or robo-taxis. An online survey conducted in Singapore with 734 adults found the greatest receptiveness toward the introduction of autonomous shuttles, in part due to perceptions that they will perform well and be easy to adopt. This aligns with ongoing shared AV trials where AV shuttles are mostly used. Larger autonomous buses had the second-highest acceptance. AV rideshares and taxis seem to largely appeal to the existing regular users of the conventional counterparts of these services. These results suggest that to encourage a mode switch from public transport to ridesharing and taxis, or vice versa, shared AVs need to appeal to users beyond being an automated version of existing modes. That is, shared AVs need to address an underserved or unmet transportation need or population.

Suggested Citation

  • Samuel Chng & Sabreena Anowar & Lynette Cheah, 2022. "Understanding Shared Autonomous Vehicle Preferences: A Comparison between Shuttles, Buses, Ridesharing and Taxis," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13656-:d:949664
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13656/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13656/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yutong Cai & Hua Wang & Ghim Ping Ong & Qiang Meng & Der-Horng Lee, 2019. "Investigating user perception on autonomous vehicle (AV) based mobility-on-demand (MOD) services in Singapore using the logit kernel approach," Transportation, Springer, vol. 46(6), pages 2063-2080, December.
    2. Samuel Chng & Lynette Cheah, 2020. "Understanding Autonomous Road Public Transport Acceptance: A Study of Singapore," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    3. Penmetsa, Praveena & Adanu, Emmanuel Kofi & Wood, Dustin & Wang, Teng & Jones, Steven L., 2019. "Perceptions and expectations of autonomous vehicles – A snapshot of vulnerable road user opinion," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 9-13.
    4. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    5. Felix Becker & Kay W. Axhausen, 2017. "Literature review on surveys investigating the acceptance of automated vehicles," Transportation, Springer, vol. 44(6), pages 1293-1306, November.
    6. Merfeld, Katrin & Wilhelms, Mark-Philipp & Henkel, Sven & Kreutzer, Karin, 2019. "Carsharing with shared autonomous vehicles: Uncovering drivers, barriers and future developments – A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 66-81.
    7. Pettigrew, Simone & Cronin, Sophie L., 2019. "Stakeholder views on the social issues relating to the introduction of autonomous vehicles," Transport Policy, Elsevier, vol. 81(C), pages 64-67.
    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. Wei Luo & Silong Wei & Yi Wang & Pengpeng Jiao, 2023. "People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.

    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. Kum Fai Yuen & Ling Qian Choo & Xue Li & Yiik Diew Wong & Fei Ma & Xueqin Wang, 2023. "A theoretical investigation of user acceptance of autonomous public transport," Transportation, Springer, vol. 50(2), pages 545-569, April.
    2. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Lindgren, Thomas & Pink, Sarah & Fors, Vaike, 2021. "Fore-sighting autonomous driving - An Ethnographic approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. McLeay, Fraser & Olya, Hossein & Liu, Hongfei & Jayawardhena, Chanaka & Dennis, Charles, 2022. "A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Qiuchen, Wang & Jannicke, Hauge Baalsrud & Sebastiaan, Meijer, 2022. "The complexity of stakeholder influence on MaaS: A study on multi-stakeholder perspectives in Shenzhen self-driving mini-bus case," Research in Transportation Economics, Elsevier, vol. 94(C).
    6. Xing, Yingying & Zhou, Huiyu & Han, Xiao & Zhang, Meng & Lu, Jian, 2022. "What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. SALLADARRE, Frédéric & LE BOENNEC, Rémy & BEL, Marlène, 2021. "Robotaxis or autonomous shuttles? The role of urban representations and travel habits in tomorrow's mode choice in France," MPRA Paper 113635, University Library of Munich, Germany.
    8. Leminen, Seppo & Rajahonka, Mervi & Wendelin, Robert & Westerlund, Mika & Nyström, Anna-Greta, 2022. "Autonomous vehicle solutions and their digital servitization business models," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Mori, Kentaro & Miwa, Tomio & Abe, Ryosuke & Morikawa, Takayuki, 2022. "Equilibrium analysis of trip demand for autonomous taxi services in Nagoya, Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 476-498.
    10. Jen Sim Ho & Booi Chen Tan & Teck Chai Lau & Nasreen Khan, 2023. "Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    11. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    12. Charli Sitinjak & Zurinah Tahir & Mohd Ekhwan Toriman & Novel Lyndon & Vladimir Simic & Charles Musselwhite & Wiyanti Fransisca Simanullang & Firdaus Mohamad Hamzah, 2023. "Assessing Public Acceptance of Autonomous Vehicles for Smart and Sustainable Public Transportation in Urban Areas: A Case Study of Jakarta, Indonesia," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    13. Richter, Maximilian A. & Hagenmaier, Markus & Bandte, Oliver & Parida, Vinit & Wincent, Joakim, 2022. "Smart cities, urban mobility and autonomous vehicles: How different cities needs different sustainable investment strategies," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    14. Benoît Lécureux & Adrien Bonnet & Ouassim Manout & Jaâfar Berrada & Louafi Bouzouina, 2022. "Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments," Working Papers hal-03814947, HAL.
    15. Barbour, Natalia & Menon, Nikhil & Zhang, Yu & Mannering, Fred, 2019. "Shared automated vehicles: A statistical analysis of consumer use likelihoods and concerns," Transport Policy, Elsevier, vol. 80(C), pages 86-93.
    16. Manon Feys & Evy Rombaut & Lieselot Vanhaverbeke, 2020. "Experience and Acceptance of Autonomous Shuttles in the Brussels Capital Region," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    17. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.
    18. Li, Dun & Huang, Youlin & Qian, Lixian, 2022. "Potential adoption of robotaxi service: The roles of perceived benefits to multiple stakeholders and environmental awareness," Transport Policy, Elsevier, vol. 126(C), pages 120-135.
    19. Wang, Senlei & Correia, Gonçalo Homem de Almeida & Lin, Hai Xiang, 2022. "Modeling the competition between multiple Automated Mobility on-Demand operators: An agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    20. Kum Fai Yuen & Do Thi Khanh Huyen & Xueqin Wang & Guanqiu Qi, 2020. "Factors Influencing the Adoption of Shared Autonomous Vehicles," IJERPH, MDPI, vol. 17(13), pages 1-17, July.

    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:gam:jsusta:v:14:y:2022:i:20:p:13656-:d:949664. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.