Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Identifying Key Factors of Hazardous Materials Transportation Accidents Based on Higher-Order and Multilayer Networks
المؤلفون: Cuiping Ren, Bianbian Chen, Fengjie Xie
المصدر: Entropy; Volume 25; Issue 7; Pages: 1036
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2023
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: hazardous materials transportation, accidents causation network, higher-order network, multilayer network, weighted k-core decomposition
الوصف: 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.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: https://dx.doi.org/10.3390/e25071036
DOI: 10.3390/e25071036
الاتاحة: https://doi.org/10.3390/e25071036
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.91BF48E8
قاعدة البيانات: BASE