{"title":"煤矿事故因果网络保护策略研究:考虑节点重要性和成本投入","authors":"Yi Zhang , Shuang Li","doi":"10.1016/j.psep.2025.107556","DOIUrl":null,"url":null,"abstract":"<div><div>In response to the frequent occurrence characteristics of coal mine accidents, identifying and preventing critical causal nodes is crucial for ensuring the safe production of coal mines. While coal mine accidents exhibit complexity and network characteristics, existing research rarely considers the impact of variations in the costs of investing in node protection on the robustness of complex accident networks. Moreover, current methods for evaluating node importance inadequately integrate a comprehensive analysis of network topological structure. To fill these gaps, this study creates a method to evaluate the importance of nodes in coal mine accident networks using the TOPSIS approach, allowing for a thorough analysis of how important each node is in the network. Furthermore, an optimal protection strategy model with cost constraints is developed using genetic optimization algorithms to investigate node protection in complex networks of coal mine accidents. We analyzed practical coal mine accidents in China to validate the effectiveness of the proposed method. The results demonstrate that the method for evaluating node importance considering network topology can more effectively identify critical nodes and comprehensively reflect their importance within the network. Compared with five alternative strategies, the optimal protection strategy achieves superior performance regardless of variations in protection cost budgets. This research provides valuable insights for cost allocation in accident prevention node investment, aiming to reduce accident occurrence rates.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"201 ","pages":"Article 107556"},"PeriodicalIF":7.8000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on protection strategies for the causal network of coal mine accidents: Considering node importance and cost investment\",\"authors\":\"Yi Zhang , Shuang Li\",\"doi\":\"10.1016/j.psep.2025.107556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In response to the frequent occurrence characteristics of coal mine accidents, identifying and preventing critical causal nodes is crucial for ensuring the safe production of coal mines. While coal mine accidents exhibit complexity and network characteristics, existing research rarely considers the impact of variations in the costs of investing in node protection on the robustness of complex accident networks. Moreover, current methods for evaluating node importance inadequately integrate a comprehensive analysis of network topological structure. To fill these gaps, this study creates a method to evaluate the importance of nodes in coal mine accident networks using the TOPSIS approach, allowing for a thorough analysis of how important each node is in the network. Furthermore, an optimal protection strategy model with cost constraints is developed using genetic optimization algorithms to investigate node protection in complex networks of coal mine accidents. We analyzed practical coal mine accidents in China to validate the effectiveness of the proposed method. The results demonstrate that the method for evaluating node importance considering network topology can more effectively identify critical nodes and comprehensively reflect their importance within the network. Compared with five alternative strategies, the optimal protection strategy achieves superior performance regardless of variations in protection cost budgets. This research provides valuable insights for cost allocation in accident prevention node investment, aiming to reduce accident occurrence rates.</div></div>\",\"PeriodicalId\":20743,\"journal\":{\"name\":\"Process Safety and Environmental Protection\",\"volume\":\"201 \",\"pages\":\"Article 107556\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Process Safety and Environmental Protection\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0957582025008237\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Process Safety and Environmental Protection","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957582025008237","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Research on protection strategies for the causal network of coal mine accidents: Considering node importance and cost investment
In response to the frequent occurrence characteristics of coal mine accidents, identifying and preventing critical causal nodes is crucial for ensuring the safe production of coal mines. While coal mine accidents exhibit complexity and network characteristics, existing research rarely considers the impact of variations in the costs of investing in node protection on the robustness of complex accident networks. Moreover, current methods for evaluating node importance inadequately integrate a comprehensive analysis of network topological structure. To fill these gaps, this study creates a method to evaluate the importance of nodes in coal mine accident networks using the TOPSIS approach, allowing for a thorough analysis of how important each node is in the network. Furthermore, an optimal protection strategy model with cost constraints is developed using genetic optimization algorithms to investigate node protection in complex networks of coal mine accidents. We analyzed practical coal mine accidents in China to validate the effectiveness of the proposed method. The results demonstrate that the method for evaluating node importance considering network topology can more effectively identify critical nodes and comprehensively reflect their importance within the network. Compared with five alternative strategies, the optimal protection strategy achieves superior performance regardless of variations in protection cost budgets. This research provides valuable insights for cost allocation in accident prevention node investment, aiming to reduce accident occurrence rates.
期刊介绍:
The Process Safety and Environmental Protection (PSEP) journal is a leading international publication that focuses on the publication of high-quality, original research papers in the field of engineering, specifically those related to the safety of industrial processes and environmental protection. The journal encourages submissions that present new developments in safety and environmental aspects, particularly those that show how research findings can be applied in process engineering design and practice.
PSEP is particularly interested in research that brings fresh perspectives to established engineering principles, identifies unsolved problems, or suggests directions for future research. The journal also values contributions that push the boundaries of traditional engineering and welcomes multidisciplinary papers.
PSEP's articles are abstracted and indexed by a range of databases and services, which helps to ensure that the journal's research is accessible and recognized in the academic and professional communities. These databases include ANTE, Chemical Abstracts, Chemical Hazards in Industry, Current Contents, Elsevier Engineering Information database, Pascal Francis, Web of Science, Scopus, Engineering Information Database EnCompass LIT (Elsevier), and INSPEC. This wide coverage facilitates the dissemination of the journal's content to a global audience interested in process safety and environmental engineering.