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Influence of Individual Perceptions on the Decision to Adopt Automated Bus Services

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  • Jia Guo

    (Chair of Transportation Systems Engineering, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Parkring 37, 85748 Garching, Germany)

  • Yusak Susilo

    (Institute for Transport Studies, University of Natural Resources and Life Sciences, Peter Jordan St 82, 1190 Vienna, Austria)

  • Constantinos Antoniou

    (Chair of Transportation Systems Engineering, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Parkring 37, 85748 Garching, Germany)

  • Anna Pernestål Brenden

    (Integrated Transport Research Lab, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden)

Abstract

The rapid development of automated buses holds great potential for the development of transportation systems. As research into innovative forms of automated transportation systems gains momentum, it is important to understand the public’s perceptions of such public transport systems. Previous studies have contributed based on hypothetical scenarios, but not based on real observations. Based on an online survey in Stockholm in March 2019, the current research addresses this gap by investigating the public’s perceptions from a real, fully operational, automated public transportation service operated in a mixed traffic environment on public roads. The respondents were selected along the automated bus line in Barkabystaden, Stockholm. Our findings indicate that (1) The presence of onboard operators has a positive impact on respondents’ perceived safety, (2) People who have not taken automated buses before have a more negative perception of driving speed of the bus service than people who have taken the buses before, (3) Attitudinal factors, such as public perceptions of safety, driving speed, reliability, and convenience, have a significant influence on the acceptance of the new bus system, (4) As an emerging and innovative transportation mode, automated buses are expected to attract a high share of regular public transportation mode users and the younger generations in the future, (5) Social-demographic characteristics such as gender and income had no significant impacts on the adoption of the new technology. The results provide the characteristics of early bus adopters and their travel behavior and help to prioritize possible investments and allow the policymakers and private industries to identify the special needs of users.

Suggested Citation

  • Jia Guo & Yusak Susilo & Constantinos Antoniou & Anna Pernestål Brenden, 2020. "Influence of Individual Perceptions on the Decision to Adopt Automated Bus Services," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6484-:d:397602
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    1. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    4. Xiaoxia Dong & Matthew DiScenna & Erick Guerra, 2019. "Transit user perceptions of driverless buses," Transportation, Springer, vol. 46(1), pages 35-50, February.
    5. Jeffery B. Greenblatt & Samveg Saxena, 2015. "Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles," Nature Climate Change, Nature, vol. 5(9), pages 860-863, September.
    6. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    7. Anania, Emily C. & Rice, Stephen & Walters, Nathan W. & Pierce, Matthew & Winter, Scott R. & Milner, Mattie N., 2018. "The effects of positive and negative information on consumers’ willingness to ride in a driverless vehicle," Transport Policy, Elsevier, vol. 72(C), pages 218-224.
    8. Jaagup Ainsalu & Ville Arffman & Mauro Bellone & Maximilian Ellner & Taina Haapamäki & Noora Haavisto & Ebba Josefson & Azat Ismailogullari & Bob Lee & Olav Madland & Raitis Madžulis & Jaanus Müür & S, 2018. "State of the Art of Automated Buses," Sustainability, MDPI, vol. 10(9), pages 1-34, August.
    9. Tirachini, Alejandro & Antoniou, Constantinos, 2020. "The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy," Economics of Transportation, Elsevier, vol. 21(C).
    10. Abdel-Aty, Mohamed & Lee, Jaeyoung & Siddiqui, Chowdhury & Choi, Keechoo, 2013. "Geographical unit based analysis in the context of transportation safety planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 62-75.
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    1. Miltos Kyriakidis & Jaka Sodnik & Kristina Stojmenova & Arnór B. Elvarsson & Cristina Pronello & Nikolas Thomopoulos, 2020. "The Role of Human Operators in Safety Perception of AV Deployment—Insights from a Large European Survey," Sustainability, MDPI, vol. 12(21), pages 1-24, November.
    2. Alexandra König & Christina Wirth & Jan Grippenkoven, 2021. "Generation Y’s Information Needs Concerning Sharing Rides in Autonomous Mobility on Demand Systems," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    3. Shelly Etzioni & Jamil Hamadneh & Arnór B. Elvarsson & Domokos Esztergár-Kiss & Milena Djukanovic & Stelios N. Neophytou & Jaka Sodnik & Amalia Polydoropoulou & Ioannis Tsouros & Cristina Pronello & N, 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    4. Anastasios Tsakalidis & Konstantinos Gkoumas & Monica Grosso & Ferenc Pekár, 2020. "TRIMIS: Modular Development of an Integrated Policy-Support Tool for Forward-Oriented Transport Research and Innovation Analysis," Sustainability, MDPI, vol. 12(23), pages 1-21, December.
    5. Zhao, Xiaoyun & Susilo, Yusak O. & Pernestål, Anna, 2022. "The dynamic and long-term changes of automated bus service adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 450-463.

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