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How more data reinforces evidence-based transport policy in the Short and Long-Term: Evaluating a policy pilot in two Dutch cities

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  • Liu, Xu
  • Dijk, Marc

Abstract

Data have played a role in urban mobility policymaking for decades. Especially since the emergence of big data, many researchers have shown how to advance data use to improve understanding transport policy effects, but there is hardly insight in how this is adopted in policy practice. This study aims to address this gap by answering two questions: (1) how is data currently embedded in urban mobility policy- and decision-making; and (2) what are the advantages and limitations of more data use in these processes?

Suggested Citation

  • Liu, Xu & Dijk, Marc, 2022. "How more data reinforces evidence-based transport policy in the Short and Long-Term: Evaluating a policy pilot in two Dutch cities," Transport Policy, Elsevier, vol. 128(C), pages 166-178.
    • Handle: RePEc:eee:trapol:v:128:y:2022:i:c:p:166-178
    DOI: 10.1016/j.tranpol.2022.09.022
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    References listed on IDEAS

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    1. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
    2. Sebastian Bamberg & Daniel Rölle & Christoph Weber, 2003. "Does habitual car use not lead to more resistance to change of travel mode?," Transportation, Springer, vol. 30(1), pages 97-108, February.
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