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Knowledge for policy-making in times of uncertainty: the case of autonomous vehicle model results
Transport Reviews ( IF 10.185 ) Pub Date : 2020-12-16 , DOI: 10.1080/01441647.2020.1857885
Carey Curtis 1 , Sam McLeod 2 , John Hultén 3 , Fredrik Pettersson-Lofstedt 1 , Alexander Paulsson 1 , Claus Hedegaard Sørensen 4
Affiliation  

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.



中文翻译:

不确定时期的决策知识:以自动驾驶汽车模型结果为例

摘要

模拟自动驾驶汽车影响的论文数量迅速增加。通过对这些文献的回顾,我们从决策的角度分析和讨论这些研究传达的信息。提供了研究概述以突出不同的政策框架。我们考虑建模知识在不稳定和不确定的未来背景下在决策中应该发挥的作用,在这种情况下,新型交通方式对过去知识和假设的使用提出了质疑。我们得出的结论是,在决策中使用模型时,模型的局限性和假设都需要更加明确和易于理解。

更新日期:2020-12-16
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