A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas
Critical transportation networks in developing countries often lack structural robustness and functional redundancy due to insufficient planning and preparedness. These deficiencies increase vulnerability to disruptions and impede effective post-disaster response and recovery. Understanding how such...
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MDPI AG
2025-07-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/14/7/261 |
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| author | Francesco Rouhana Dima Jawad |
| author_facet | Francesco Rouhana Dima Jawad |
| author_sort | Francesco Rouhana |
| collection | DOAJ |
| description | Critical transportation networks in developing countries often lack structural robustness and functional redundancy due to insufficient planning and preparedness. These deficiencies increase vulnerability to disruptions and impede effective post-disaster response and recovery. Understanding how such networks perform under stress is essential to improving resilience in hazard-prone urban environments. This paper presents an integrated predictive methodology for assessing the operational resilience of urban transportation networks under extreme events, specifically tailored to data-scarce and high-risk contexts. By combining Geographic Information Systems (GISs) with complex network theory, the framework captures both spatial and topological dependencies. The methodology is applied to Beirut, the capital of Lebanon, a densely populated and disaster-prone Mediterranean city, through scenario-based simulations that account for interdependent stressors such as traffic dynamics, structural fragility, and geophysical hazards. Results reveal that the network exhibits low redundancy and high sensitivity to even minor disruptions, leading to rapid performance degradation. These findings indicate that the network should be classified as highly vulnerable. The study offers a robust framework for assessing infrastructure resilience and supporting evidence-based decision-making in critical urban network management. |
| format | Article |
| id | doaj-art-37a5cc49017f4a8ea506d81a19c5a53a |
| institution | DOAJ |
| issn | 2220-9964 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-37a5cc49017f4a8ea506d81a19c5a53a2025-08-20T03:07:55ZengMDPI AGISPRS International Journal of Geo-Information2220-99642025-07-0114726110.3390/ijgi14070261A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban AreasFrancesco Rouhana0Dima Jawad1School of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USADepartment of Mechanical and Manufacturing Engineering, Ontario Tech University, Oshawa, ON L1G 0C5, CanadaCritical transportation networks in developing countries often lack structural robustness and functional redundancy due to insufficient planning and preparedness. These deficiencies increase vulnerability to disruptions and impede effective post-disaster response and recovery. Understanding how such networks perform under stress is essential to improving resilience in hazard-prone urban environments. This paper presents an integrated predictive methodology for assessing the operational resilience of urban transportation networks under extreme events, specifically tailored to data-scarce and high-risk contexts. By combining Geographic Information Systems (GISs) with complex network theory, the framework captures both spatial and topological dependencies. The methodology is applied to Beirut, the capital of Lebanon, a densely populated and disaster-prone Mediterranean city, through scenario-based simulations that account for interdependent stressors such as traffic dynamics, structural fragility, and geophysical hazards. Results reveal that the network exhibits low redundancy and high sensitivity to even minor disruptions, leading to rapid performance degradation. These findings indicate that the network should be classified as highly vulnerable. The study offers a robust framework for assessing infrastructure resilience and supporting evidence-based decision-making in critical urban network management.https://www.mdpi.com/2220-9964/14/7/261resiliencevulnerabilitydisaster risk reductiongraph theoryurban network analysisnetwork failures |
| spellingShingle | Francesco Rouhana Dima Jawad A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas ISPRS International Journal of Geo-Information resilience vulnerability disaster risk reduction graph theory urban network analysis network failures |
| title | A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas |
| title_full | A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas |
| title_fullStr | A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas |
| title_full_unstemmed | A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas |
| title_short | A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas |
| title_sort | spatial network approach to assessing transportation resilience in disaster prone urban areas |
| topic | resilience vulnerability disaster risk reduction graph theory urban network analysis network failures |
| url | https://www.mdpi.com/2220-9964/14/7/261 |
| work_keys_str_mv | AT francescorouhana aspatialnetworkapproachtoassessingtransportationresilienceindisasterproneurbanareas AT dimajawad aspatialnetworkapproachtoassessingtransportationresilienceindisasterproneurbanareas AT francescorouhana spatialnetworkapproachtoassessingtransportationresilienceindisasterproneurbanareas AT dimajawad spatialnetworkapproachtoassessingtransportationresilienceindisasterproneurbanareas |