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Autonomous Vehicle Use and Urban Space Transformation: A Scenario Building and Analysing Method

Author

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  • Dahlen Silva

    (Department of Transportation Engineering and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Dávid Földes

    (Department of Transportation Engineering and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Csaba Csiszár

    (Department of Transportation Engineering and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

The use of autonomous vehicles (AVs) has the potential to transform users’ behaviour and urban space management. Quantitative and qualitative analyses of impacts require a scenario building method. We considered the fleet size, modal share, car ownership, parking preferences, and urban space repurposing during the elaboration of a novel method. Existing scenarios and results of a questionnaire survey have been used as sources. The method was applied to build scenarios in a case study in Budapest, Hungary. The results were used to calculate the impacts on urban space management, including environmental savings. The key findings are: scenarios with significant shared AV use show that parking demand may be minimised (almost 83%) and urban space repurposing has the highest potential; furthermore, AV use and sharing acceptability may decrease the fleet size and alter the type of shared mode to multiple occupancies. The developed scenario building method serves as a base for future studies. The produced scenarios allow the researchers to focus on the analysis of the impacts caused.

Suggested Citation

  • Dahlen Silva & Dávid Földes & Csaba Csiszár, 2021. "Autonomous Vehicle Use and Urban Space Transformation: A Scenario Building and Analysing Method," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3008-:d:514009
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