Geological Safety Evaluation of Urban Areas in Northeastern Chongqing Using a Multi-Source Logistic Regression Model

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Authors: Yanchang Jia, Zhihao Chen, Tong Min Jiang, Yahui Liang, D.Q. Li, Pengfei Liu, Luqi Wang, Shaokai Wang
Cited by: 1
References: 22

Abstract

This study addresses the key scientific problem of urban safety in complex, hazard-inducing geological environments by focusing on representative towns in the Three Gorges Reservoir area. Through the integrated use of field investigations, numerical simulations, and multivariate statistical analysis, we developed a comprehensive model for assessing geological safety risk in reservoir-area towns. A four-tier deep safety evaluation system was constructed for two types of hazard-inducing geological environments, and a classification scheme for shallow susceptibility was proposed. On this basis, a five-tier integrated urban geological safety risk evaluation model was established that combines deep safety level, engineering sensitivity, shallow susceptibility, and prevention difficulty. The model exhibited strong performance (pseudo R2 ≥ 0.914, p < 0.001) and indicates that risk is predominantly moderate (Grade III), with 85.7% of the 21 representative areas in Wushan, Fengjie, and other “2 + 4” towns falling into this category. Overall, the results provide an operational tool to support disaster risk reduction, risk-informed land-use governance, and resilient infrastructure planning, thereby contributing to sustainable urban development in reservoir-side mountainous regions.

Fields of Study & Subjects

Landslides and related hazards Infrastructure Resilience and Vulnerability Analysis Disaster Management and Resilience

Publication details

Journal / source
Sustainability
Publisher
MDPI AG
Volume
18
Issue
1
Pages
450–450
Publication date
2 January 2026
Language
EN