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Article

A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model

1
School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China
2
State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3
Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China
4
China Transport Telecommunications & Information Center, Beijing 100011, China
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(13), 7740; https://doi.org/10.3390/su14137740
Submission received: 14 April 2022 / Revised: 14 June 2022 / Accepted: 20 June 2022 / Published: 24 June 2022
(This article belongs to the Special Issue Assessment of Vulnerability to Natural Hazards)

Abstract

A landslide disaster, especially a highway landslide, may greatly impact the transport capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting the functioning of the economy, society and people. Therefore, evaluating the highway landslide susceptibility is particularly important. In this paper, the city of Laibin, in the Guangxi Zhuang Autonomous Region of China, was taken as the study zone. According to data on 641 highway landslide disaster points measured in the field and a basic evaluation of the study area, nine evaluation factors—the elevation, slope, aspect, height difference, plan curve, profile curve, precipitation, Topographic Wetness Index (TWI) and vegetation coverage—were selected. We coupled a Frequency Ratio (FR) model, Analytic Hierarchy Process (AHP), Logistic Regression (LR), Back Propagation Neural Network (BPNN) and Support Vector Machine (SVM) to evaluate the susceptibility to highway landslides, with a Receiver Operating Characteristic (ROC) curve used to analyze the precision of these models. The ROC curve showed that the accuracy of the five models was greater than 0.700 and thus had a certain reliability. Among them, the FR-LR model had the highest accuracy, at 0.804. The study protocol presented here can therefore provide a reference for evaluation studies on landslide susceptibility in other areas.
Keywords: highway landslide disaster; frequency ratio; coupling model; ROC curve highway landslide disaster; frequency ratio; coupling model; ROC curve

Share and Cite

MDPI and ACS Style

Fan, H.; Lu, Y.; Hu, Y.; Fang, J.; Lv, C.; Xu, C.; Feng, X.; Liu, Y. A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model. Sustainability 2022, 14, 7740. https://doi.org/10.3390/su14137740

AMA Style

Fan H, Lu Y, Hu Y, Fang J, Lv C, Xu C, Feng X, Liu Y. A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model. Sustainability. 2022; 14(13):7740. https://doi.org/10.3390/su14137740

Chicago/Turabian Style

Fan, Huadan, Yuefeng Lu, Yulong Hu, Jun Fang, Chengzhe Lv, Changqing Xu, Xinyi Feng, and Yanru Liu. 2022. "A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model" Sustainability 14, no. 13: 7740. https://doi.org/10.3390/su14137740

APA Style

Fan, H., Lu, Y., Hu, Y., Fang, J., Lv, C., Xu, C., Feng, X., & Liu, Y. (2022). A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model. Sustainability, 14(13), 7740. https://doi.org/10.3390/su14137740

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