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The role of travel demand and network centrality on the connectivity and resilience of an urban street system

Author

Listed:
  • Meisam Akbarzadeh

    (Isfahan University of Technology)

  • Soroush Memarmontazerin

    (Isfahan University of Technology)

  • Sybil Derrible

    (University of Illinois at Chicago
    University of Illinois at Chicago)

  • Sayed Farzin Salehi Reihani

    (Isfahan University of Technology)

Abstract

In the transportation literature, two major and parallel approaches exist to identify the critical elements of a transportation system. On the one hand, conventional transportation engineering emphasizes travel demand, often in terms of traffic volume (i.e., demand side). On the other hand, newer techniques from Network Science emphasize network topology (i.e., supply side). To better understand the relationship between the two approaches, we first investigate whether they correlate by comparing traffic volume and node centrality. Second, we assess the impact of the two approaches on the connectivity and resilience of a transportation network; connectivity is measured by the relative size of the giant component, and resilience is measured by the network’s adaptive capacity (the amount of extra flow it can handle). The urban road system of Isfahan (Iran) is used as a practical case study. Overall, we find that traffic volume indeed correlates with node centrality. In addition, we find that the weighted degree of a node, i.e., the sum of the capacities of its incident links (for small disruptions) and node betweenness (for large disruptions), best captures node criticality. Nodes with high weighted degree and betweenness should therefore be given higher priority to enhance connectivity and resilience in urban street systems. Regarding link criticality, roads with higher capacities showed a more important role as opposed to betweenness, flow, and congestion.

Suggested Citation

  • Meisam Akbarzadeh & Soroush Memarmontazerin & Sybil Derrible & Sayed Farzin Salehi Reihani, 2019. "The role of travel demand and network centrality on the connectivity and resilience of an urban street system," Transportation, Springer, vol. 46(4), pages 1127-1141, August.
    • Handle: RePEc:kap:transp:v:46:y:2019:i:4:d:10.1007_s11116-017-9814-y
    DOI: 10.1007/s11116-017-9814-y
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    Cited by:

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    3. 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).
    4. Boeing, Geoff & Ha, Jaehyun, 2024. "Resilient by design: Simulating street network disruptions across every urban area in the world," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    5. Perez, Yuri & Pereira, Fabio Henrique, 2021. "Simulation of traffic light disruptions in street networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    6. Chakrabarti, Sandip & Kushari, Triparnee & Mazumder, Taraknath, 2022. "Does transportation network centrality determine housing price?," Journal of Transport Geography, Elsevier, vol. 103(C).
    7. Li, Jing & Yu, Qian & Ma, Ding, 2024. "Does China's high-speed rail network promote inter-city technology transfer? ——A multilevel network analysis based on the electronic information industry," Transport Policy, Elsevier, vol. 145(C), pages 11-24.
    8. Wu, Chao-Yun & Hu, Mao-Bin & Jiang, Rui & Hao, Qing-Yi, 2021. "Effects of road network structure on the performance of urban traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    9. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    10. Mohammad Zaher Serdar & Sami G. Al-Ghamdi, 2021. "Resiliency Assessment of Road Networks during Mega Sport Events: The Case of FIFA World Cup Qatar 2022," Sustainability, MDPI, vol. 13(22), pages 1-15, November.

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