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Article

Sustainable Risk Mapping of High-Speed Rail Networks Through PS-InSAR and Geospatial Analysis

1
Geodesy Laboratory, Civil & Architectural and Environmental System Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Gyeonggi-do, Republic of Korea
2
Disaster & Risk Management Laboratory, Interdisciplinary Program in Crisis & Disaster and Risk Management, Sungkyunkwan University (SKKU), Suwon 16419, Gyeonggi-do, Republic of Korea
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(15), 7064; https://doi.org/10.3390/su17157064 (registering DOI)
Submission received: 5 July 2025 / Revised: 26 July 2025 / Accepted: 29 July 2025 / Published: 4 August 2025
(This article belongs to the Section Hazards and Sustainability)

Abstract

This study presents an integrated geospatial framework for assessing the risk to high-speed railway (HSR) infrastructure, combining a persistent scatterer interferometric synthetic aperture radar (PS-InSAR) analysis with multi-criteria decision-making in a geographic information system (GIS) environment. Focusing on the Honam HSR corridor in South Korea, the model incorporates both maximum ground deformation and subsidence velocity to construct a dynamic hazard index. Social vulnerability is quantified using five demographic and infrastructural indicators, and a two-stage analytic hierarchy process (AHP) is applied with dependency correction to mitigate inter-variable redundancy. The resulting high-resolution risk maps highlight spatial mismatches between geotechnical hazards and social exposure, revealing vulnerable segments in Gongju and Iksan that require prioritized maintenance and mitigation. The framework also addresses data limitations by interpolating groundwater levels and estimating train speed using spatial techniques. Designed to be scalable and transferable, this methodology offers a practical decision-support tool for infrastructure managers and policymakers aiming to enhance the resilience of linear transport systems.
Keywords: PS-InSAR; AHP; ground subsidence; smart urban corridor; infrastructure resilience; risk mapping; GIS-based decision-making; spatial planning PS-InSAR; AHP; ground subsidence; smart urban corridor; infrastructure resilience; risk mapping; GIS-based decision-making; spatial planning

Share and Cite

MDPI and ACS Style

Lee, S.-J.; Yun, H.-S.; Kwak, S.-W. Sustainable Risk Mapping of High-Speed Rail Networks Through PS-InSAR and Geospatial Analysis. Sustainability 2025, 17, 7064. https://doi.org/10.3390/su17157064

AMA Style

Lee S-J, Yun H-S, Kwak S-W. Sustainable Risk Mapping of High-Speed Rail Networks Through PS-InSAR and Geospatial Analysis. Sustainability. 2025; 17(15):7064. https://doi.org/10.3390/su17157064

Chicago/Turabian Style

Lee, Seung-Jun, Hong-Sik Yun, and Sang-Woo Kwak. 2025. "Sustainable Risk Mapping of High-Speed Rail Networks Through PS-InSAR and Geospatial Analysis" Sustainability 17, no. 15: 7064. https://doi.org/10.3390/su17157064

APA Style

Lee, S.-J., Yun, H.-S., & Kwak, S.-W. (2025). Sustainable Risk Mapping of High-Speed Rail Networks Through PS-InSAR and Geospatial Analysis. Sustainability, 17(15), 7064. https://doi.org/10.3390/su17157064

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