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Dynamics of Link Importance through Normal Conditions, Flood Response, and Recovery

Author

Listed:
  • Navin Bhatta

    (Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA)

  • Shakhawat H. Tanim

    (Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA)

  • Pamela Murray-Tuite

    (Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA)

Abstract

As climate change influences flood frequency, transportation damage and disruptions will become more common. Given the network’s expanse and cost of construction, communities’ mitigation efforts should be informed by analyses that span normal conditions and disaster management phases. This paper analyzes road segment criticality in normal, flood response, and recovery phases in Anderson County, South Carolina, considering impacts on emergency services, healthcare, industry, education, recreation, and transit. A 100-year event provides context for analyzing flood impacts to the time-based shortest paths, determined using ArcGIS Pro 3.1.3. Local and secondary roads were especially affected, with rerouting concentrating around the Anderson City area. Blocked road sections identified potentially vulnerable roads, and normalized betweenness centrality metrics identified community dependence on road segments for daily and emergency operations. While the quantity and dispersion of parks and grocery stores mitigated rerouting distance, other purposes faced challenges from impassable routes. The analysis revealed the southeastern and southern regions as most impacted across purposes, suggesting targeted mitigation. I-85, State Routes 28 and 81, and Federal Routes 29, 76, and 178 were the most critical roads before, during, and after the flood. This study highlights commonalities in road criticality across phases to support resilient transportation planning and sustainability.

Suggested Citation

  • Navin Bhatta & Shakhawat H. Tanim & Pamela Murray-Tuite, 2024. "Dynamics of Link Importance through Normal Conditions, Flood Response, and Recovery," Sustainability, MDPI, vol. 16(2), pages 1-35, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:819-:d:1321174
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    References listed on IDEAS

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    1. 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).
    2. Craig Trumbo & Michelle A. Meyer & Holly Marlatt & Lori Peek & Bridget Morrissey, 2014. "An Assessment of Change in Risk Perception and Optimistic Bias for Hurricanes Among Gulf Coast Residents," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1013-1024, June.
    3. Elizabeth Ty Wilde, 2013. "Do Emergency Medical System Response Times Matter For Health Outcomes?," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 790-806, July.
    4. Jenelius, Erik & Petersen, Tom & Mattsson, Lars-Göran, 2006. "Importance and exposure in road network vulnerability analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 537-560, August.
    5. Almotahari, Amirmasoud & Yazici, M. Anil, 2019. "A link criticality index embedded in the convex combinations solution of user equilibrium traffic assignment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 67-82.
    6. Weiping Wang & Saini Yang & H. Eugene Stanley & Jianxi Gao, 2019. "Local floods induce large-scale abrupt failures of road networks," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    7. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.
    8. Gangwal, Utkarsh & Dong, Shangjia, 2022. "Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    9. P. E. Zope & T. I. Eldho & V. Jothiprakash, 2017. "Hydrological impacts of land use–land cover change and detention basins on urban flood hazard: a case study of Poisar River basin, Mumbai, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1267-1283, July.
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