Landslide Risk Assessment Along Railway Lines Using Multi-Source Data: A GameTheory-Based Integrated Weighting Approach for Sustainable Infrastructure Planning

Yuqiang He, Ziyan Bin, Xiaolei Xu, Hongsheng Yu, Yan Zhang, Na Li and Man Li ()
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Yuqiang He: CHN Energy Shuohuang Railway Development Co., Cangzhou 062350, China
Ziyan Bin: School of Traffic and Transportation, Beijing Jiaotong University, No. 3 Shangyuancun, Haidian District, Beijing 100044, China
Xiaolei Xu: China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
Hongsheng Yu: China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
Yan Zhang: China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
Na Li: CHN Energy Shuohuang Railway Development Co., Cangzhou 062350, China
Man Li: School of Traffic and Transportation, Beijing Jiaotong University, No. 3 Shangyuancun, Haidian District, Beijing 100044, China

Sustainability, 2025, vol. 17, issue 12, 1-18

Abstract: Landslides threaten railway safety and operational sustainability. This study developed a game theory-based weighting method that integrates the Entropy Weight Method (EWM) and CRITIC with Analytic Hierarchy Process (AHP) techniques to determine indicator weights, reducing single-method biases. A risk assessment was conducted that coupled hazard likelihood with exposure. These components formed a comprehensive risk index visualized as a landslide risk map. A GIS-integrated assessment of Shandong Province railways incorporated multi-source data to support resilient infrastructure planning. The results show that high-risk zones consistently coincide with mountainous terrain, high-precipitation areas, and concentration of the population/economic activity, identifying critical intervention areas. The integrated weighting method proves effective for multi-criteria risk analysis. Decision-makers can prioritize mitigation measures using these insights, enhancing railway resilience and reducing regional disaster risk.

Keywords: landslide risk assessment; sustainable railway management; multi-source data integration; geospatial analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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