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Transport network criticality metrics: a comparative analysis and a guideline for selection

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  • Bramka Arga Jafino
  • Jan Kwakkel
  • Alexander Verbraeck

Abstract

Transport network criticality analysis aims at ranking transport infrastructure elements based on their contribution to the performance of the overall infrastructure network. Despite the wide variety of transport network criticality metrics, little guidance is available on selecting metrics that are fit for the specific purpose of a study. To address this gap, this study reviews, evaluates and compares seventeen criticality metrics. First, we conceptually evaluate these metrics in terms of the functionality of the transport system that the metrics try to represent (either maintaining connectivity, reducing travel cost, or improving accessibility), the underlying ethical principles (either utilitarianism or egalitarianism), and the spatial aggregation considered by the metrics (either network-wide or localised). Next, we empirically compare the metrics by calculating them for eight transport networks. We define the empirical similarity between two metrics as the degree to which they yield similar rankings of infrastructure elements. Pairs of metrics that have high empirical similarity highlight the same set of transport infrastructure elements as critical. We find that empirical similarity is partly dependent on the network’s topology. We also observe that metrics that are conceptually similar do not necessarily have high empirical similarity. Based on the insights from the conceptual and empirical comparison, we propose a five-step guideline for transport authorities and analysts to identify the set of criticality metrics to use which best aligns with the nature of their policy questions.

Suggested Citation

  • Bramka Arga Jafino & Jan Kwakkel & Alexander Verbraeck, 2020. "Transport network criticality metrics: a comparative analysis and a guideline for selection," Transport Reviews, Taylor & Francis Journals, vol. 40(2), pages 241-264, March.
  • Handle: RePEc:taf:transr:v:40:y:2020:i:2:p:241-264
    DOI: 10.1080/01441647.2019.1703843
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    Cited by:

    1. Accominotti, Olivier & Lucena-Piquero, Delio & Ugolini, Stefano, 2023. "Intermediaries’ substitutability and financial network resilience: A hyperstructure approach," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    2. Falchetta, G. & Noussan, M. & Hammad, A.T., 2021. "Comparing paratransit in seven major African cities: An accessibility and network analysis," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Novak, David C. & Sullivan, James L. & Niles, Meredith T., 2021. "Targeted Investment for Food Access," Institute of Transportation Studies, Working Paper Series qt9b71p9zg, Institute of Transportation Studies, UC Davis.
    4. Ján Mikolaj & Ľuboš Remek & Matúš Kozel, 2022. "Road Asset Value Calculation Based on Asset Performance, Community Benefits and Technical Condition," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
    5. Almotahari, Amirmasoud & Yazici, Anil, 2021. "A computationally efficient metric for identification of critical links in large transportation networks," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    6. Jafino, Bramka Arga, 2021. "An equity-based transport network criticality analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 204-221.

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