Evaluation of landslide susceptibility of mountain highway based on RF and SVM models

Evaluation of landslide susceptibility of mountain highway based on RF and SVM models

Abstract Geological complexities along mountain highways frequently trigger landslides, posing significant threats to transportation safety and infrastructure. This study evaluates landslide susceptibility along the Lizha-Jiezi section of China’s G345 national highway using Random Forest (RF) and Su...

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Bibliographic Details
Main Authors: Qingfeng He, Shoulong Wu, Xia Zhao, Zhankun Hui, Zhengang Wang, Paraskevas Tsangaratos, Ioanna Ilia, Wei Chen, Yixin Chen, Yiheng Hao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Random forest
Support vector machine
Landslide susceptibility mapping
Mountain highway
Online Access:https://doi.org/10.1038/s41598-025-08774-w
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https://doi.org/10.1038/s41598-025-08774-w

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