There is some understanding that autonomous vehicles will disrupt public sector policies and the existing transportation industry, but this disruption is often loosely defined and tends to ignore how it would affect governments financially. The primary objective of this paper is to quantify the short-term impact of introducing autonomous vehicles on government finances. The analysis focuses on eight Canadian governments, encompassing four government tiers. Public discourse and academic literature are used to generate nine predicted changes (forecast variables) in future adoption scenarios. Using the predicted rate of autonomous vehicle adoption, the remaining variables are converted into financial changes by combining them with government financial records, infrastructure inventory datasets, and project cost estimates. The results suggest that, while revenue impacts are fairly minimal, and mostly impact Canadian provinces, the cost of implementing the expected vehicle-to-infrastructure (V2I) communication upgrades could be expensive for governments with smaller populations, especially municipalities. The revenue analysis indicates the biggest shift is likely to be a loss in gas tax, which affects federal and provincial revenues, yet this share is relatively small compared with the size of these governments’ budgets. The expense analysis suggests that, although provinces have extensive road networks, the cost of upgrading all of their highways may not be unreasonable compared with their yearly revenue intake. On the other hand, municipalities would require substantial new funds to be able to make the same upgrades.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Quantifying the Potential Impact of Autonomous Vehicle Adoption on Government Finances


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Terry, Jacob (Autor:in) / Bachmann, Chris (Autor:in)


    Erscheinungsdatum :

    04.04.2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Optimizing Autonomous Transfer Hub Networks: Quantifying the potential impact of self-driving trucks

    Chungjae Lee / Kevin Dalmeijer / Pascal Van Hentenryck et al. | DOAJ | 2024

    Freier Zugriff


    Dynamic Wireless Power Transfer: Potential Impact on Plug-in Electric Vehicle Adoption

    Lin, Z. / Li, J.-M. / Dong, J. et al. | British Library Conference Proceedings | 2014


    Dynamic Wireless Power Transfer: Potential Impact on Plug-in Electric Vehicle Adoption

    Li, Jan-Mou / Dong, Jing / Lin, Zhenhong | SAE Technical Papers | 2014


    Quantifying the Energy Impact of Autonomous Platooning-Imposed Longitudinal Dynamics

    Stegner, Evan / Snitzer, Philip / Bentley, John et al. | British Library Conference Proceedings | 2023