Identifying Key Factors of Hazardous Materials Transportation Accidents Based on Higher-Order and Multilayer Networks

Author:

Ren Cuiping1ORCID,Chen Bianbian1,Xie Fengjie1

Affiliation:

1. School of Modern Post, Xi’an University of Posts and Telecommunications, Xi’an 710061, China

Abstract

This paper focuses on the application of higher-order and multilayer networks in identifying critical causes and relationships contributing to hazardous materials transportation accidents. There were 792 accidents of hazardous materials transportation that occurred on the road from 2017 to 2021 which have been investigated. By considering time sequence and dependency of causes, the hazardous materials transportation accidents causation network (HMTACN) was described using the higher-order model. To investigate the structure of HMTACN such as the importance of causes and links, HMTACN was divided into three layers using the weighted k-core decomposition: the core layer, the bridge layer and the peripheral layer. Then causes and links were analyzed in detail. It was found that the core layer was tightly connected and supported most of the causal flows of HMTACN. The results showed that causes should be given hierarchical attention. This study provides an innovative method to analyze complicated accidents, which can be used in identifying major causes and links. And this paper brings new ideas about safety network study and extends the applications of complex network theory.

Funder

National Natural Science Foundation of China

National Social Science Foundation of China

Special Research Project of Shaanxi Department of Education

Natural Science Foundation of Shaanxi Province of China

Publisher

MDPI AG

Subject

General Physics and Astronomy

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