Traffic risk identification methods for the Tibet highway under the impact of typical sudden disasters

To study the identification method of highway traffic risks under the influence of disasters, this paper uses fault tree model, correlation analysis, and Delphi method to identify and analyze the influencing factors of highway traffic operation risks under the influence of disasters. Based on the fault tree model, with "highway traffic operation risk under disasters" as the top event, a progressive analysis of risk factors in dimensions such as disasters, drivers, vehicles, roads, topography, and traffic operation is conducted, and a method for calibrating evaluation indicators for each factor is proposed. The method combines quantitative screening and qualitative analysis to screen and eliminate factors and evaluation indicators with high relevance, low importance, and poor availability, forming a quantitative evaluation indicator form for risk factors. This provides a basis for highway risk management under sudden disasters, and provides technical support for management personnel to control the development of disaster risk trends and reduce economic and property losses caused by high risks.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054820
Primary Topic
Safety and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Traffic risk identification methods for the Tibet highway under the impact of typical sudden disasters

Jianbei Liu, Weiwei Liu, Yanrong Liu, Xianyong Liu
Safety and Risk Management
article

Traffic risk identification methods for the Tibet highway under the impact of typical sudden disasters

Jianbei Liu, Weiwei Liu, Yanrong Liu, Xianyong Liu
article en

Abstract

To study the identification method of highway traffic risks under the influence of disasters, this paper uses fault tree model, correlation analysis, and Delphi method to identify and analyze the influencing factors of highway traffic operation risks under the influence of disasters. Based on the fault tree model, with "highway traffic operation risk under disasters" as the top event, a progressive analysis of risk factors in dimensions such as disasters, drivers, vehicles, roads, topography, and traffic operation is conducted, and a method for calibrating evaluation indicators for each factor is proposed. The method combines quantitative screening and qualitative analysis to screen and eliminate factors and evaluation indicators with high relevance, low importance, and poor availability, forming a quantitative evaluation indicator form for risk factors. This provides a basis for highway risk management under sudden disasters, and provides technical support for management personnel to control the development of disaster risk trends and reduce economic and property losses caused by high risks.

Chang'an University (CN), CCCC Highway Consultants (China) (CN)
Climate action
Openalex Percentile: Top 67%
Safety and Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.