Landslide Susceptibility Assessment Method during the Construction of Highways Based on the Index Complexity Algorithm

Daming Lin, Yufang Zhang, Shumao Qiu (), Mingzhou Bai, Haoying Xia, Wei Qiao and Zhenyu Tang
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Daming Lin: Research Institute of Highway, Ministry of Transport, Beijing 100088, China
Yufang Zhang: Railway Engineering Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
Shumao Qiu: Research Institute of Highway, Ministry of Transport, Beijing 100088, China
Mingzhou Bai: Department of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
Haoying Xia: Research Institute of Highway, Ministry of Transport, Beijing 100088, China
Wei Qiao: School of Engineering and Technology, China University of Geosciences Beijing, Beijing 100083, China
Zhenyu Tang: Research Institute of Highway, Ministry of Transport, Beijing 100088, China

Sustainability, 2024, vol. 16, issue 14, 1-14

Abstract: Landslides represent the most destructive and prevalent geological hazards along mountainous highways, severely imperiling the construction and maintenance of road infrastructure. To mitigate risks associated with high slopes during construction, a systematic evaluation of landslide susceptibility is imperative. This study introduces an assessment method developed over three years of engineering practice, integrating ten parameters that are intricately linked to construction scale, geological conditions, and engineering design. The method innovatively employs the Index Complexity Algorithm (ICA) to ascertain the weight distribution of the parameters, thereby diminishing the impact of subjective biases in qualitative assessments and enhancing the objectivity and precision of the evaluation. Utilizing the slope in China as a case study, the paper meticulously demonstrates the application of the assessment method. A comprehensive evaluation of the slope’s geological context, construction scale, and design rationality by the ICA algorithm yields a quantified risk score for the slope’s potential hazards. The findings indicate that the slope is classified as high risk (Grade III) during highway construction, necessitating the implementation of risk mitigation measures such as prestressed anchor cables and grouting anchorage. Beyond offering a novel methodological approach to landslide risk assessment, the method significantly contributes to the sustainable construction and operation of mountainous highways. Anticipated refinements in the assessment process and the parameter are poised to augment the method’s efficacy in slope engineering safety management, thereby bolstering the long-term stability and environmental sustainability of mountain highways.

Keywords: slope hazards; Index Complexity Algorithm (ICA); mountainous highway; landslide susceptibility; risk assessment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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