{"title":"Guidance for the Measurement and Analysis of Traffic Safety Culture","authors":"Jay Otto, N. Ward, Kari Finley","doi":"10.1108/978-1-78714-617-420191006","DOIUrl":null,"url":null,"abstract":"Abstract \nGiven the definition for traffic safety culture (proposed in the first chapter) as the shared beliefs of a group which affect behaviors related to traffic safety, this chapter provides practical guidance on ways to measure traffic safety culture, analyze collected data, and use the analysis to inform interventions. The proposed definition of “shared beliefs” used a behavioral model to inform specifically what beliefs may influence intentional behaviors involved with either reducing or improving traffic safety. This behavioral model provides a framework to guide measurement. Analyses include examining the prevalence of beliefs and behaviors, the relationships between beliefs and behaviors, and identifying “gaps” in beliefs that may be important to address in interventions. Finally, an example of a traffic safety culture program which includes a collecting of strategies working across the social ecology to improve traffic safety is introduced (in this case, seat belt use).","PeriodicalId":438575,"journal":{"name":"Traffic Safety Culture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Traffic Safety Culture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/978-1-78714-617-420191006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Abstract
Given the definition for traffic safety culture (proposed in the first chapter) as the shared beliefs of a group which affect behaviors related to traffic safety, this chapter provides practical guidance on ways to measure traffic safety culture, analyze collected data, and use the analysis to inform interventions. The proposed definition of “shared beliefs” used a behavioral model to inform specifically what beliefs may influence intentional behaviors involved with either reducing or improving traffic safety. This behavioral model provides a framework to guide measurement. Analyses include examining the prevalence of beliefs and behaviors, the relationships between beliefs and behaviors, and identifying “gaps” in beliefs that may be important to address in interventions. Finally, an example of a traffic safety culture program which includes a collecting of strategies working across the social ecology to improve traffic safety is introduced (in this case, seat belt use).