Neighborhood-scale assessment of urban flood impacts on transportation network resilience
A case study of Mavişehir, İzmir
Bibliographic Data
| ID | 22028102 |
|---|---|
| Authors | Umut Erdem (0000-0001-9822-3605, Izmir University), A Sharifi (0000-0002-8983-8613, United States Institute of Peace, corresponding author), Zeynep Ökmen (0009-0002-5340-6007, Izmir University) |
| Year | 2026 |
| Volume | 132 |
| Pages | 105970 |
| Publication date | 2026-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2025.105970 |
| OpenAlex | W7115602592 |
| Language | EN |
| Citations received | 1 |
| References cited | 30 |
Despite extensive research on the impacts of flooding on urban transportation, few studies have systematically assessed neighborhood-scale flood resilience. This study focuses on the Mavişehir neighborhood in İzmir, Turkey, to evaluate the vulnerability and resilience of its road transportation network under flood conditions. Using GIS-based network modeling and quasi-real-time traffic data, the analysis measures accessibility disruptions, increased travel times, and the network's capacity to support emergency operations during inundation. Three research questions guide the study: (1) Which areas become inaccessible, and how are local populations and infrastructure affected? (2) How do network disruptions influence travel times and emergency accessibility? (3) What do these patterns reveal about overall network resilience? A total of 282 residential buildings and 11,876 housing units were identified within the inundated zone. Using an average household size of 3, the affected population is estimated at 35,628 people. During the flood scenario, total travel times increased by 20–25 %, with the most severe impacts observed between 14:00 and 17:00. Such delays present critical challenges for emergency response, evacuation, healthcare access, and essential services. Overall, the findings provide actionable insights for urban planners and decision-makers, underscoring the need for climate change adaptation strategies that enhance urban transportation resilience, reduce social and economic losses, and strengthen neighborhood-scale disaster preparedness. • We assess flood resilience of transportation networks at the neighborhood scale. • We use real-time traffic data to model and analyze accessibility disruptions. • We examine network's ability to support emergency operations during flood scenarios. • Results indicate major impacts on the network, including increase in travel time. • We offer insights to enhance resilience, and mitigate social and economic losses
Climate change · Flood myth · Flow network · Population · Psychological resilience · Vulnerability assessment · Disaster Management and Resilience · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis
Resilience and efficiency in transportation networks
Resilience of urban social-ecological-technological systems (Sets)
Resilient urban forms
Urban sprawl and green space depletion
Unveiling the inter-relations between the urban streets network and its dynamic traffic flows
Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding
Anatomy of perturbed traffic networks during urban flooding
Industrial Production Networks and Small Towns
Network Robustness Index
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |