A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas
Bibliographic Data
| ID | 22034860 |
|---|---|
| Authors | Francesco Rouhana (0000-0002-1564-5608, University of Connecticut, corresponding author), Dima Jawad (0000-0003-1992-6156, Ontario Tech University) |
| Year | 2025 |
| Volume | 14 |
| Issue | 7 |
| Pages | 261 |
| Publication date | 2025-07-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14070261 |
| OpenAlex | W4412007477 |
| Language | EN |
| Citations received | 1 |
| References cited | 57 |
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
Civil engineering · Environmental planning · Environmental resource management · Geography · Transport engineering · Urban planning · Urban resilience · Computer Science · Disaster Management and Resilience · Engineering · Environmental Science · Infrastructure Resilience and Vulnerability Analysis · Supply Chain Resilience and Risk Management
Spatial networks
Urban network analysis. A new toolbox for ArcGIS
Resilience and efficiency in transportation networks
Statistical mechanics of complex networks
Framework for analytical quantification of disaster resilience
A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
The network analysis of urban streets
Collective dynamics of ‘small-world’ networks
A resilience glossary shaped by context
Analyzing structural inequalities in natural hazard-induced power outages
Examining Rural–Urban Vulnerability Inequality in Extreme Weather-Related Power Outages
Urban Transportation Networks Resilience
Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events
The role of travel demand and network centrality on the connectivity and resilience of an urban street system
Factor-analytic study of the connectivity of a transportation network
A Set of Measures of Centrality Based on Betweenness
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |