{"title":"Factors associated with speeding behavior of Moroccan drivers: Study guided by the theory of planned behavior","authors":"Abderrahim El Hafidy , Taoufik Rachad , Ali Idri","doi":"10.1016/j.iatssr.2024.09.003","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the determinants that influence drivers to exceed speed limits by using an extended version of the Theory of Planned Behavior (TPB). Therefore, data about 254 drivers representing various cities in Morocco were collected via a web-based questionnaire. Then, confirmatory factor analysis (CFA) was used to validate the proposed questionnaire, while structural equation modeling (SEM) was conducted to analyze and validate the hypothesized model. The results suggest that the extended TPB, incorporating additional factors of habit, moral norms and descriptive norms, outperforms the original TPB. Moreover, the findings underscore that speeding behavior is directly influenced by both speeding intention and habit, and indirectly influenced by moral norms and habit through the mediation of intention. The result of this study will contribute to developing new behavior change interventions aiming at combating speeding behavior and also contributing to ongoing efforts aiming at promoting road safety.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 516-522"},"PeriodicalIF":3.2000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IATSS Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0386111224000463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the determinants that influence drivers to exceed speed limits by using an extended version of the Theory of Planned Behavior (TPB). Therefore, data about 254 drivers representing various cities in Morocco were collected via a web-based questionnaire. Then, confirmatory factor analysis (CFA) was used to validate the proposed questionnaire, while structural equation modeling (SEM) was conducted to analyze and validate the hypothesized model. The results suggest that the extended TPB, incorporating additional factors of habit, moral norms and descriptive norms, outperforms the original TPB. Moreover, the findings underscore that speeding behavior is directly influenced by both speeding intention and habit, and indirectly influenced by moral norms and habit through the mediation of intention. The result of this study will contribute to developing new behavior change interventions aiming at combating speeding behavior and also contributing to ongoing efforts aiming at promoting road safety.
期刊介绍：
First published in 1977 as an international journal sponsored by the International Association of Traffic and Safety Sciences, IATSS Research has contributed to the dissemination of interdisciplinary wisdom on ideal mobility, particularly in Asia. IATSS Research is an international refereed journal providing a platform for the exchange of scientific findings on transportation and safety across a wide range of academic fields, with particular emphasis on the links between scientific findings and practice in society and cultural contexts. IATSS Research welcomes submission of original research articles and reviews that satisfy the following conditions: 1.Relevant to transportation and safety, and the multiple impacts of transportation systems on security, human health, and the environment. 2.Contains important policy and practical implications based on scientific evidence in the applicable academic field. In addition to welcoming general submissions, IATSS Research occasionally plans and publishes special feature sections and special issues composed of invited articles addressing specific topics.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
