{"title":"揭开交通安全的面纱:全面分析影响美国各州交通事故频率的因素","authors":"M. Obeidat, Rahma Mohammad Obeidat, F. Dweiri","doi":"10.1093/tse/tdae016","DOIUrl":null,"url":null,"abstract":"\n Traffic crashes are a prominent cause of fatalities around the world. This study focuses on the dynamics of traffic safety by analyzing factors influencing crash frequency during both nighttime and daytime conditions. Four years data derived from the Fatality Analysis Reporting System (FARS) database were analyzed statistically based on the negative binomial regression model, to identify the contributions of several factors affecting crash outcomes. The findings reveal significant related factors including the area type, roadway alignment, speeding-related factors, gender, number of lanes, grade, surface type, and weather conditions that contributed to the expected crash frequency during both daytime and nighttime conditions. Through quantitative analysis, the extent to which each factor contributes to the expected crash frequency was determined, offering effective insights for policymaking to boost roadway safety. The findings highlight the necessity of implementing targeted strategies to minimize the risk of crashes by creating safer road environments.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"113 3","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unraveling the veil of traffic safety: A comprehensive analysis of factors influencing crash frequency across U.S. States\",\"authors\":\"M. Obeidat, Rahma Mohammad Obeidat, F. Dweiri\",\"doi\":\"10.1093/tse/tdae016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Traffic crashes are a prominent cause of fatalities around the world. This study focuses on the dynamics of traffic safety by analyzing factors influencing crash frequency during both nighttime and daytime conditions. Four years data derived from the Fatality Analysis Reporting System (FARS) database were analyzed statistically based on the negative binomial regression model, to identify the contributions of several factors affecting crash outcomes. The findings reveal significant related factors including the area type, roadway alignment, speeding-related factors, gender, number of lanes, grade, surface type, and weather conditions that contributed to the expected crash frequency during both daytime and nighttime conditions. Through quantitative analysis, the extent to which each factor contributes to the expected crash frequency was determined, offering effective insights for policymaking to boost roadway safety. The findings highlight the necessity of implementing targeted strategies to minimize the risk of crashes by creating safer road environments.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":\"113 3\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1093/tse/tdae016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/tse/tdae016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Unraveling the veil of traffic safety: A comprehensive analysis of factors influencing crash frequency across U.S. States
Traffic crashes are a prominent cause of fatalities around the world. This study focuses on the dynamics of traffic safety by analyzing factors influencing crash frequency during both nighttime and daytime conditions. Four years data derived from the Fatality Analysis Reporting System (FARS) database were analyzed statistically based on the negative binomial regression model, to identify the contributions of several factors affecting crash outcomes. The findings reveal significant related factors including the area type, roadway alignment, speeding-related factors, gender, number of lanes, grade, surface type, and weather conditions that contributed to the expected crash frequency during both daytime and nighttime conditions. Through quantitative analysis, the extent to which each factor contributes to the expected crash frequency was determined, offering effective insights for policymaking to boost roadway safety. The findings highlight the necessity of implementing targeted strategies to minimize the risk of crashes by creating safer road environments.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.