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

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.

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Publication Details

Journal
Sustainability
Published
2026-01-02
DOI
https://doi.org/10.3390/su18010450
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Tong Jiang, D.Q. Li, Shaokai Wang, Luqi Wang et al.
Sustainability
Landslides and related hazards
article

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

Tong Jiang, D.Q. Li, Shaokai Wang, Luqi Wang, Yahui Liang, Zhihao Chen, Yanchang Jia, Pengfei Liu
article en

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.

SustainabilityVol. 18(1)
Chongqing University (CN), North China University of Water Resources and Electric Power (CN), Chongqing Bureau of Geology and Minerals Exploration (CN)
North China University of Water Resources and Electric Power, National Natural Science Foundation of China, National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 99%
Landslides and related hazards
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Geological Safety Evaluation of Urban Areas in Northeastern Chongqing Using a Multi-Source Logistic Regression Model — Tong Jiang, D.Q. Li, et al. · Sustainability (2026) | TGRS Research Map | TGRS