Work

Analysis of the Spatio-Temporal Evolution and Driving Factors of Urban Cascading Disaster Resilience Based on Spatial Theory

Year: 2025

Type: article

Abstract: To address the increasing threat of urban cascading disasters to the resilient development of cities, this paper establishes an urban cascading disaster resilience evaluation system from the three dimensions of “physical space–social space–information space”. Based on the idea of game theory, the entropy weight–CRITIC method is used to obtain the optimal combination weight of the indicators. Taking Jiangsu Province as an example, the TOPSIS model is used to calculate the urban cascading disaster resilience values of each city from 2014 to 2023. Then, ArcGIS (10.8) spatial analysis tools, Kernel density analysis, spatial correlation analysis, and the geographical detector are used to explore the spatio-temporal pattern evolution, spatial correlation, and driving factors of urban cascading disaster resilience in Jiangsu Province. The results show that (1) there is obvious regional heterogeneity in the urban cascading disaster resilience of Jiangsu Province in space; (2) the overall urban cascading disaster resilience of Jiangsu Province shows an upward trend over time; (3) there is a significant positive correlation between the urban cascading disaster resilience of Jiangsu Province and geographical location; and (4) there are high-level driving factors in each space.

Source: Sustainability

DOI: 10.3390/su172310520

Authors: Jingyan Liu, Shuo Zhang, Enrao Xiang, Ziyin You

Institution: Institute of Disaster Prevention

Language: English

Topic: Disaster Management and Resilience

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,896