{"title":"Principal factor analysis of dangerous goods sources in air transportation based on principal component analysis","authors":"Yan Zhang, Fuli Bai","doi":"10.1145/3544109.3544110","DOIUrl":null,"url":null,"abstract":"In view of the current situation that unsafe incidents of dangerous goods transportation by air have increased year by year in recent years, this paper uses the principal component analysis method to analyze the dangerous goods sources or factors affecting the transportation of dangerous goods by air. The research shows that the four factors of dangerous goods type, airline type, transportation area and transportation link are the more important factors affecting the safety of civil aviation transportation. At the same time, for the different sub factors or factors of the above four main factors, this paper further extracts the most critical factors of each factor according to the entropy of the projection of different factor related data in the low-dimensional space corresponding to the principal component. According to the key factors, it is proposed to strengthen the management of personnel such as consignment, agency and collection and transportation, strengthen the training of relevant personnel on dangerous goods, including dangerous goods knowledge, and strengthen the publicity in all links, which provides an objective basis for the objective evaluation of civil aviation transportation indicators, and is also of great value for effectively controlling the occurrence probability of dangerous goods unsafe events and accidents and improving the level of aviation safety management.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3544109.3544110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In view of the current situation that unsafe incidents of dangerous goods transportation by air have increased year by year in recent years, this paper uses the principal component analysis method to analyze the dangerous goods sources or factors affecting the transportation of dangerous goods by air. The research shows that the four factors of dangerous goods type, airline type, transportation area and transportation link are the more important factors affecting the safety of civil aviation transportation. At the same time, for the different sub factors or factors of the above four main factors, this paper further extracts the most critical factors of each factor according to the entropy of the projection of different factor related data in the low-dimensional space corresponding to the principal component. According to the key factors, it is proposed to strengthen the management of personnel such as consignment, agency and collection and transportation, strengthen the training of relevant personnel on dangerous goods, including dangerous goods knowledge, and strengthen the publicity in all links, which provides an objective basis for the objective evaluation of civil aviation transportation indicators, and is also of great value for effectively controlling the occurrence probability of dangerous goods unsafe events and accidents and improving the level of aviation safety management.