Urban flooding vulnerability assessment of Jiangsu based on the combination weight of game theory

With the acceleration of urbanization and the effects of global climate change, urban flooding has become increasingly frequent. Based on an extensive literature review, a vulnerability index system comprising seventeen indicators was constructed to assess urban flooding vulnerability in thirteen prefecture-level cities in Jiangsu Province. The combination weighting method based on game theory was applied to determine the vulnerability levels. The results indicate that torrential rainfall frequency, value added of the tertiary industry, GDP per unit land area, population density,urbanization rate, impervious surface ratio, and per capita road area are key indicators in evaluating vulnerability.Rapid economic development coupled with relatively outdated urban planning concepts are major factors contributing to urban flooding vulnerability. The southern region of Jiangsu is the most vulnerable, followed by the central and northern regions. The study further proposes targeted strategies to help mitigate urban flood risks and enhance resilience in vulnerable regions.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-06-01
DOI
https://doi.org/10.12194/j.ntu.20240124001
Primary Topic
Neutropenia and Cancer Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Urban flooding vulnerability assessment of Jiangsu based on the combination weight of game theory

SHILAP Revista de lepidopterología
Neutropenia and Cancer Infections
article

Urban flooding vulnerability assessment of Jiangsu based on the combination weight of game theory

article en

Abstract

With the acceleration of urbanization and the effects of global climate change, urban flooding has become increasingly frequent. Based on an extensive literature review, a vulnerability index system comprising seventeen indicators was constructed to assess urban flooding vulnerability in thirteen prefecture-level cities in Jiangsu Province. The combination weighting method based on game theory was applied to determine the vulnerability levels. The results indicate that torrential rainfall frequency, value added of the tertiary industry, GDP per unit land area, population density,urbanization rate, impervious surface ratio, and per capita road area are key indicators in evaluating vulnerability.Rapid economic development coupled with relatively outdated urban planning concepts are major factors contributing to urban flooding vulnerability. The southern region of Jiangsu is the most vulnerable, followed by the central and northern regions. The study further proposes targeted strategies to help mitigate urban flood risks and enhance resilience in vulnerable regions.

SHILAP Revista de lepidopterología
Nantong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 37%
Neutropenia and Cancer Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Urban flooding vulnerability assessment of Jiangsu based on the combination weight of game theory · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS