Assessment and modeling of roadside geological risks in the Qinghai-Tibetan Plateau region

Hong Zhang, Xin Xu*, Chi Zhang*, Hong Zhi Yang, Yiik Diew Wong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study identified and assessed spatiotemporal distribution, and modeled influencing factors, of roadside geological risks for the Qinghai-Tibetan Plateau regions towards enhancing the safety of road operations. It utilized Latent Dirichlet Allocation model to identify risks, hotspot analysis and normalized spectral entropy to assess the spatiotemporal risk distribution, and Generalized Estimation Equations to analyze the relationship between geological risk susceptibility and the influencing factors. Finally, a case study was conducted to apply this methodology. The findings indicated that mountain geological hazards could affect areas up to 2,000 m from the roadway. Roadbed and tunnel sections, and lower-grade highways were more susceptible to mountain geological hazards, while higher-grade highways tended to have lower frozen soil thermal stability in their roadbed sections. This study provides valuable insights into the coupling effects between engineering and geological environments, crucial for informed route layout decisions and effective management of roadside geological risks.

Original languageEnglish
Article number104422
JournalTransportation Research, Part D: Transport and Environment
Volume136
DOIs
Publication statusPublished - Nov 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

ASJC Scopus Subject Areas

  • Civil and Structural Engineering
  • Transportation
  • General Environmental Science

Keywords

  • Frozen soil thermal stability
  • Generalized Estimation Equations
  • Hotspot analysis
  • Mountain geological hazards
  • Normalized spectral entropy
  • Qinghai-Tibetan Plateau

Fingerprint

Dive into the research topics of 'Assessment and modeling of roadside geological risks in the Qinghai-Tibetan Plateau region'. Together they form a unique fingerprint.

Cite this