| Issue |
E3S Web Conf.
Volume 651, 2025
The 17th Aceh International Workshop and Expo on Sustainable Disaster Recovery (AIWEST-DR 2025)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 13 | |
| Section | Urban Planning, Reconstruction, and Recovery | |
| DOI | https://doi.org/10.1051/e3sconf/202565103003 | |
| Published online | 14 October 2025 | |
Assessing Public Transport Vulnerability to Urban Flooding: A GIS Approach Incorporating Network Risk and Population Exposure
1 Laboratory of Transportation Engineering, National Technical University of Athens
2 Dept. of Water Resources and Environmental Engineering, National Technical University of Athens
3 Department of Civil Engineering, University of Patras
4 Leichtweiß Institute for Hydraulic Engineering, Technical University of Braunschweig, Germany
* Corresponding author: mjalexopoulos@gmail.com
Urban flooding increasingly disrupts public transportation, critical for vulnerable populations including elderly and low-income groups. Most research on flood resilience in transportation focuses on private vehicles, overlooking vulnerable users’ reliance on public transport. This study addresses that gap by assessing flood-related disruption across the surface public-transport network of a large municipality in Athens, Greece. Using a two-dimensional coupled hydrological–hydraulic model, we simulate a 100-year flood and estimate water depths across the road network. Public transport and road infrastructure data are integrated in a Geographical Information System to identify segments where depths exceed 0.3 m, an operational safety threshold used for conservative detour screening. Critical links, affected bus stops and disrupted routes are systematically mapped, while the affected population is estimated through isochrone curves that delineate 15- and 30-minute accessibility. This approach pinpoints vulnerable areas, nodes and corridors in the network, supporting disaster preparedness and operational planning. The findings facilitate flood-risk maps tailored to public transport, enabling transit operators and municipal authorities to pre-emptively design alternative service plans.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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