Highway landslide susceptibility evaluation methods-a case study of Guangxi Zhuang autonomous region, China
文献类型：期刊论文
| 作者 | Li, Xueyuan2; Lu, Yuefeng2,3,4; Fan, Huadan2; Xie, Peng2; Yan, Yu2; Zhao, Shuaibing2; Lu, Miao1,3,5; Zhang, Lu2 |
| 刊名 | GEOMATICS NATURAL HAZARDS & RISK
 |
| 出版日期 | 2025-12-31 |
| 卷号 | 16期号:1页码:2563652 |
| 关键词 | Highway landslide coupled model susceptibility analysis ROC curves |
| ISSN号 | 1947-5705 |
| DOI | 10.1080/19475705.2025.2563652 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Landslides pose a major threat to transportation infrastructure, especially in mountainous regions like the Guangxi Zhuang Autonomous Region. However, few studies have comprehensively compared susceptibility models for highway landslides in this region. To address this insufficiency, this study evaluates highway landslide susceptibility using 14 factors and seven models-three single models (frequency ratio, information value, certain factor) and four combined with frequency ratio (logistic regression, back propagation neural network, support vector machine, random forest). The findings indicate that all seven-evaluation models categorized the results into five susceptibility classes. The FR-BPNN yielded the highest percentage of very-low (28.79%) and low-susceptibility areas (49.84%), while the FR-SVM showed superior performance in identifying very-high-susceptibility zones (8.68%); Model analysis indicates elevated landslide susceptibility along highways in eastern Guangxi, particularly in Liuzhou and Guilin; ROC validation showed that all models achieved AUC > 0.80, with the FR-LR model attaining the highest accuracy (AUC = 0.91), outperforming traditional single-method models reported in previous studies. These results provide both a scientific tool for geological disaster prevention in the region and a reference framework for landslide risk assessment in areas with similar geographical conditions. |
| URL标识 | 查看原文 |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Remote Sensing ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001591834700001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217480]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Lu, Yuefeng; Lu, Miao |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing, Peoples R China 2.Shandong Univ Technol, Sch Civil Engn & Geomatics, Zibo, Peoples R China; 3.Natl Ctr Technol Innovat Comprehens Utilizat Salin, Dongying, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; 5.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Key Lab Agr Remote Sensing, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Li, Xueyuan,Lu, Yuefeng,Fan, Huadan,et al. Highway landslide susceptibility evaluation methods-a case study of Guangxi Zhuang autonomous region, China[J]. GEOMATICS NATURAL HAZARDS & RISK,2025,16(1):2563652. |
| APA | Li, Xueyuan.,Lu, Yuefeng.,Fan, Huadan.,Xie, Peng.,Yan, Yu.,...&Zhang, Lu.(2025).Highway landslide susceptibility evaluation methods-a case study of Guangxi Zhuang autonomous region, China.GEOMATICS NATURAL HAZARDS & RISK,16(1),2563652. |
| MLA | Li, Xueyuan,et al."Highway landslide susceptibility evaluation methods-a case study of Guangxi Zhuang autonomous region, China".GEOMATICS NATURAL HAZARDS & RISK 16.1(2025):2563652. |
入库方式： OAI收割
来源：地理科学与资源研究所
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