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Implementation of Connected and Autonomous Vehicles in Cities Could Have Neutral Effects on the Total Travel Time Costs: Modeling and Analysis for a Circular City

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  • Marcos Medina-Tapia

    (Department of Geographical Engineering, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Francesc Robusté

    (Department of Civil and Environmental Engineering, Technical University of Catalonia, 08034 Barcelona, Spain)

Abstract

Autonomous vehicles promise to revolutionize the automobile market, although their implementation could take several decades in which both types of cars will coexist on the streets. We formulate a model for a circular city based on continuous approximations, considering demand surfaces over the city. Numerical results from our model predict direct and indirect effects of connected and autonomous vehicles. Direct effects will be positive for our cities: (a) less street supply is needed to accommodate the traffic; (b) congestion levels decrease: travel costs may decrease by 30%. Some indirect effects will counterbalance these positive effects: (c) a decrease of 20% in the value of travel time can reduce the total cost by a third; (d) induced demand could be as high as 50%, bringing equivalent total costs in the future scenario; (e) the vehicle-kilometers traveled could also affect the future scenario; and (f) increases in city size and urban sprawl. As a conclusion, the implementation of autonomous vehicles could be neutral for the cities regarding travel time costs. City planning agencies still have to promote complementary modes such as active mobility (walking and bicycle), transit (public transportation), and shared mobility (shared autonomous vehicles and mobility as a service).

Suggested Citation

  • Marcos Medina-Tapia & Francesc Robusté, 2019. "Implementation of Connected and Autonomous Vehicles in Cities Could Have Neutral Effects on the Total Travel Time Costs: Modeling and Analysis for a Circular City," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:482-:d:198612
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    Cited by:

    1. Federica Paoli & Francesca Pirlone & Ilenia Spadaro, 2022. "Indicators for the Circular City: A Review and a Proposal," Sustainability, MDPI, vol. 14(19), pages 1-28, September.
    2. Mohd Anjum & Sana Shahab, 2023. "Improving Autonomous Vehicle Controls and Quality Using Natural Language Processing-Based Input Recognition Model," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    3. Timo Liljamo & Heikki Liimatainen & Markus Pöllänen & Riku Viri, 2021. "The Effects of Mobility as a Service and Autonomous Vehicles on People’s Willingness to Own a Car in the Future," Sustainability, MDPI, vol. 13(4), pages 1-28, February.
    4. Vytautas Palevičius & Rasa Ušpalytė-Vitkūnienė & Jonas Damidavičius & Tomas Karpavičius, 2020. "Concepts of Development of Alternative Travel in Autonomous Cars," Sustainability, MDPI, vol. 12(21), pages 1-13, October.
    5. Sarri, Paraskevi & Kaparias, Ioannis & Preston, John & Simmonds, David, 2023. "Using Land Use and Transportation Interaction (LUTI) models to determine land use effects from new vehicle transportation technologies; a regional scale of analysis," Transport Policy, Elsevier, vol. 135(C), pages 91-111.
    6. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 2020. "A systematic literature review of the factors influencing the adoption of autonomous driving," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1065-1082, December.

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