Risk Evaluation of Hazardous Chemical Road Transportation Accidents Based on a Combined Empowerment-Cloud Model

To improve the accuracy of the risk evaluation results of hazardous chemical road transportation systems, an accident risk evaluation model based on the combined weight-cloud model is proposed to address the problems of ambiguity and randomness in the risk factors for hazardous chemical road transportation accidents. First, incorporating the risk factor identification results, the risk evaluation index system for hazardous chemical road transportation accidents is established. On the basis of determining the subjective and objective weights of the indices by using the analytic hierarchy process and entropy weight method, the comprehensive weights of the evaluation indices are calculated by the linear weighting method. Then, the weighting results are combined with the cloud model to calculate the risk level of the evaluation indices at all levels and to output the results in the form of a risk cloud diagram to visually determine the risk level of hazardous chemical road transportation. Finally, the model is applied to evaluate the accident risk in an example. The results demonstrate that the model is both practical and applicable in the evaluation of the risk of hazardous chemical road transportation accidents. The evaluation results can provide a valuable reference for hazardous chemical road transportation enterprises to prevent accidents.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-02-10
DOI
https://doi.org/10.3390/app15041813
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk Evaluation of Hazardous Chemical Road Transportation Accidents Based on a Combined Empowerment-Cloud Model

Yong Liu, Hanqiu Xu, Zhibao Cheng, Qing Xiang et al.
Applied Sciences
Risk and Safety Analysis
article

Risk Evaluation of Hazardous Chemical Road Transportation Accidents Based on a Combined Empowerment-Cloud Model

Yong Liu, Hanqiu Xu, Zhibao Cheng, Qing Xiang, Wenhe Wang
article en

Abstract

To improve the accuracy of the risk evaluation results of hazardous chemical road transportation systems, an accident risk evaluation model based on the combined weight-cloud model is proposed to address the problems of ambiguity and randomness in the risk factors for hazardous chemical road transportation accidents. First, incorporating the risk factor identification results, the risk evaluation index system for hazardous chemical road transportation accidents is established. On the basis of determining the subjective and objective weights of the indices by using the analytic hierarchy process and entropy weight method, the comprehensive weights of the evaluation indices are calculated by the linear weighting method. Then, the weighting results are combined with the cloud model to calculate the risk level of the evaluation indices at all levels and to output the results in the form of a risk cloud diagram to visually determine the risk level of hazardous chemical road transportation. Finally, the model is applied to evaluate the accident risk in an example. The results demonstrate that the model is both practical and applicable in the evaluation of the risk of hazardous chemical road transportation accidents. The evaluation results can provide a valuable reference for hazardous chemical road transportation enterprises to prevent accidents.

Applied SciencesVol. 15(4)
Hunan University of Science and Technology (CN), Chongqing University of Science and Technology (CN)
Openalex Percentile: Top 97%
Risk and Safety Analysis
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.