Articles | Volume 25, issue 9
https://doi.org/10.5194/nhess-25-3545-2025
https://doi.org/10.5194/nhess-25-3545-2025
Research article
 | 
23 Sep 2025
Research article |  | 23 Sep 2025

Flood relief logistics planning for coastal cities: a case study in Shanghai, China

Pujun Liang, Jie Yin, Dandan Wang, Yi Lu, Yuhan Yang, Dan Gao, and Jianfeng Mai

Data sets

ArcGIS Desktop Esri https://www.esri.com/en-us/arcgis/products/arcgis-desktop/overview

Emergency Shelter Data for Shanghai Shanghai Emergency Management Bureau https://gfdy.sh.gov.cn/yjbncs/

Model code and software

MATLAB MathWorks https://www.mathworks.com/products/matlab.html

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Short summary
Coastal cities face growing flood risks due to climate change. This study explores emergency planning to help cities like Shanghai to prepare for extreme floods. Using GIS (geographic information system) and optimisation methods, we developed a framework to improve the equity and efficiency of emergency supply delivery. Analysis shows Shanghai’s current facilities may not handle a severe 1000-year flood well. This underscores the need for strategic investment and fair resource allocation.
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