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Knowledge for policy-making in times of uncertainty: the case of autonomous vehicle model results

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  • Carey Curtis
  • Sam McLeod
  • John Hultén
  • Fredrik Pettersson-Lofstedt
  • Alexander Paulsson
  • Claus Hedegaard Sørensen

Abstract

There has been a rapid rise in papers modelling the impacts of autonomous vehicles. Drawing on a review of this literature, we analyse and discuss the messages conveyed by these studies from a policy-making perspective. An overview of the studies is provided to highlight the different policy frames. We consider the roles that modelling knowledge should have in policy-making in the context of unstable and uncertain futures where novel transport modes bring into question the use of past knowledge and assumptions. We conclude that both limitations of, and assumptions in, models need to be made more explicit and accessible when used in policy-making.

Suggested Citation

  • Carey Curtis & Sam McLeod & John Hultén & Fredrik Pettersson-Lofstedt & Alexander Paulsson & Claus Hedegaard Sørensen, 2021. "Knowledge for policy-making in times of uncertainty: the case of autonomous vehicle model results," Transport Reviews, Taylor & Francis Journals, vol. 41(4), pages 478-498, July.
    • Handle: RePEc:taf:transr:v:41:y:2021:i:4:p:478-498
    DOI: 10.1080/01441647.2020.1857885
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    Cited by:

    1. Haotian Zhong & Wei Li, 2023. "What if autonomous vehicles had been introduced into cities? A counterfactual analysis," Urban Studies, Urban Studies Journal Limited, vol. 60(16), pages 3198-3215, December.

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