{"title":"运用模糊层次分析法和模糊TOPSIS法对建筑业职业事故原因进行识别、评价和排序。","authors":"Marzieh Abbasinia, I. Mohammadfam","doi":"10.3233/WOR-210024","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nThe construction industry is one of the most dangerous industries in terms of occupational accidents. Understanding the various factors that affect work-related injuries and deaths in the industry can help develop prevention strategies, improve safety performance and reduce accidents.\n\n\nOBJECTIVES\nThis applied qualitative study was carried out in several steps to investigate, evaluate and prioritize the causes of occupational accidents in the construction industry.\n\n\nMETHODS\nIn order to extract the most important criteria in construction accidents, the opinions of safety experts and the qualitative Delphi method were used. The Fuzzy Analytic Hierarchy Process (FAHP) was used to determine the weights of selected criteria and finally, the Fuzzy TOPSIS technique was used to rank the causes of occupational accidents in the construction industry.\n\n\nRESULTS\nAccording to the results, governance, occupational, organizational, individual, and environmental factors were the most determinative options for the cause of construction accidents. Prioritizing the causes of occupational accidents in the construction industry using Fuzzy AHP and Fuzzy TOPSIS showed that governance and environmental factors were the most effective and least effective factors in construction accidents, respectively.\n\n\nCONCLUSIONS\nAccording to the criteria, and based on fuzzy TOPSIS technique, governance factors were determined to be the primary option for occupational accidents in the construction industry. The results of this study indicate that in addition to organizational factors, individual factors, and environmental factors, the government must also play a role in legislation, law enforcement, implementation, and organization of safety training programs.","PeriodicalId":49090,"journal":{"name":"Cognition Technology & Work","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Identifying, evaluating and prioritizing the causes of occupational accidents in the construction industry using fuzzy AHP and fuzzy TOPSIS.\",\"authors\":\"Marzieh Abbasinia, I. Mohammadfam\",\"doi\":\"10.3233/WOR-210024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\nThe construction industry is one of the most dangerous industries in terms of occupational accidents. Understanding the various factors that affect work-related injuries and deaths in the industry can help develop prevention strategies, improve safety performance and reduce accidents.\\n\\n\\nOBJECTIVES\\nThis applied qualitative study was carried out in several steps to investigate, evaluate and prioritize the causes of occupational accidents in the construction industry.\\n\\n\\nMETHODS\\nIn order to extract the most important criteria in construction accidents, the opinions of safety experts and the qualitative Delphi method were used. The Fuzzy Analytic Hierarchy Process (FAHP) was used to determine the weights of selected criteria and finally, the Fuzzy TOPSIS technique was used to rank the causes of occupational accidents in the construction industry.\\n\\n\\nRESULTS\\nAccording to the results, governance, occupational, organizational, individual, and environmental factors were the most determinative options for the cause of construction accidents. Prioritizing the causes of occupational accidents in the construction industry using Fuzzy AHP and Fuzzy TOPSIS showed that governance and environmental factors were the most effective and least effective factors in construction accidents, respectively.\\n\\n\\nCONCLUSIONS\\nAccording to the criteria, and based on fuzzy TOPSIS technique, governance factors were determined to be the primary option for occupational accidents in the construction industry. The results of this study indicate that in addition to organizational factors, individual factors, and environmental factors, the government must also play a role in legislation, law enforcement, implementation, and organization of safety training programs.\",\"PeriodicalId\":49090,\"journal\":{\"name\":\"Cognition Technology & Work\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2022-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognition Technology & Work\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.3233/WOR-210024\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognition Technology & Work","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3233/WOR-210024","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Identifying, evaluating and prioritizing the causes of occupational accidents in the construction industry using fuzzy AHP and fuzzy TOPSIS.
BACKGROUND
The construction industry is one of the most dangerous industries in terms of occupational accidents. Understanding the various factors that affect work-related injuries and deaths in the industry can help develop prevention strategies, improve safety performance and reduce accidents.
OBJECTIVES
This applied qualitative study was carried out in several steps to investigate, evaluate and prioritize the causes of occupational accidents in the construction industry.
METHODS
In order to extract the most important criteria in construction accidents, the opinions of safety experts and the qualitative Delphi method were used. The Fuzzy Analytic Hierarchy Process (FAHP) was used to determine the weights of selected criteria and finally, the Fuzzy TOPSIS technique was used to rank the causes of occupational accidents in the construction industry.
RESULTS
According to the results, governance, occupational, organizational, individual, and environmental factors were the most determinative options for the cause of construction accidents. Prioritizing the causes of occupational accidents in the construction industry using Fuzzy AHP and Fuzzy TOPSIS showed that governance and environmental factors were the most effective and least effective factors in construction accidents, respectively.
CONCLUSIONS
According to the criteria, and based on fuzzy TOPSIS technique, governance factors were determined to be the primary option for occupational accidents in the construction industry. The results of this study indicate that in addition to organizational factors, individual factors, and environmental factors, the government must also play a role in legislation, law enforcement, implementation, and organization of safety training programs.
期刊介绍:
Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions.
The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors.
The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective.
The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.