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Estimating the trip generation impacts of autonomous vehicles on car travel in Victoria, Australia

Author

Listed:
  • Long T. Truong

    (Monash University)

  • Chris Gruyter

    (Monash University)

  • Graham Currie

    (Monash University)

  • Alexa Delbosc

    (Monash University)

Abstract

Autonomous vehicles (AVs) potentially increase vehicle travel by reducing travel and parking costs and by providing improved mobility to those who are too young to drive or older people. The increase in vehicle travel could be generated by both trip diversion from other modes and entirely new trips. Existing studies however tend to overlook AVs’ impacts on entirely new trips. There is a need to develop a methodology for estimating possible impacts of AVs on entirely new trips across all age groups. This paper explores the impacts of AVs on car trips using a case study of Victoria, Australia. A new methodology for estimating entirely new trips associated with AVs is proposed by measuring gaps in travel need at different life stages. Results show that AVs would increase daily trips by 4.14% on average. The 76+ age group would have the largest increase of 18.5%, followed by the 18–24 age group and the 12–17 age group with 14.6 and 11.1% respectively. If car occupancy remains constant in AV scenarios, entirely new trips and trip diversions from public transport and active modes would lead to a 7.31% increase in car trips. However increases in car travel are substantially magnified by reduced car occupancy rates, a trend evidenced throughout the world. Car occupancy would need to increase by at least 5.3–7.3% to keep car trips unchanged in AV scenarios.

Suggested Citation

  • Long T. Truong & Chris Gruyter & Graham Currie & Alexa Delbosc, 2017. "Estimating the trip generation impacts of autonomous vehicles on car travel in Victoria, Australia," Transportation, Springer, vol. 44(6), pages 1279-1292, November.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:6:d:10.1007_s11116-017-9802-2
    DOI: 10.1007/s11116-017-9802-2
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    References listed on IDEAS

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    13. Ahmed, Tanjeeb & Hyland, Michael & Sarma, Navjyoth J.S. & Mitra, Suman & Ghaffar, Arash, 2020. "Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 221-247.
    14. Kassens-Noor, Eva & Dake, Dana & Decaminada, Travis & Kotval-K, Zeenat & Qu, Teresa & Wilson, Mark & Pentland, Brian, 2020. "Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city," Transport Policy, Elsevier, vol. 99(C), pages 329-335.
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    17. Marletto, Gerardo, 2019. "Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 221-234.
    18. Kaddoura, Ihab & Bischoff, Joschka & Nagel, Kai, 2020. "Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 48-63.
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    20. Jiang, Ying & Guo, Zijian & Zhang, Runsen & Zong, Weiyan & Zhang, Junyi, 2023. "How do expected changes in life affect young people's stated ownership of privately-owned autonomous vehicles: A comparative study," Transport Policy, Elsevier, vol. 135(C), pages 71-81.
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    25. Alejandro Tirachini & Andres Gomez-Lobo, 2017. "Estabilidad Macroeconómica y Crecimiento Económico: Mitos y Realidades," Working Papers wp457, University of Chile, Department of Economics.

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