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Data-driven Transport Infrastructure Maintenance

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Abstract

This report examines the potential of data-driven approaches to improving transport infrastructure maintenance. It assesses trends in maintenance strategies, explores how the targeted use of data could make them more effective for different types of transport infrastructure, and looks into implications for policy.

Suggested Citation

  • Itf, 2021. "Data-driven Transport Infrastructure Maintenance," International Transport Forum Policy Papers 95, OECD Publishing.
    • Handle: RePEc:oec:itfaac:95-en
    DOI: 10.1787/a1cc71cc-en
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    Cited by:

    1. Passmore, Reid & Watkins, Kari E. & Guensler, Randall, 2021. "BikewaySim Technology Transfer: City of Atlanta, Georgia," Institute of Transportation Studies, Working Paper Series qt23n9389j, Institute of Transportation Studies, UC Davis.
    2. Bondemark, Anders & Andersson, Henrik & Brundell-Freij, Karin, 2023. "Do the distributional preferences of national infrastructure planners diverge from those of the public?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. Wu, Yaobin & Huang, Jiazhou & Chen, Xiangfeng, 2024. "The information value of logistics platforms in a freight matching market," European Journal of Operational Research, Elsevier, vol. 312(1), pages 227-239.

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