{"title":"Unraveling the impact of autonomous driving threat perception on risky driving","authors":"Jilin Huang , Zhichao Li , Lujia Li","doi":"10.1016/j.trf.2025.06.004","DOIUrl":null,"url":null,"abstract":"<div><div>This empirical study investigates the occupational safety challenges confronting the traditional taxi industry amidst the innovation of autonomous driving technologies. With the rapid iteration and commercialization of autonomous driving systems, the global taxi service sector is undergoing structural transformation. During this transition, traditional taxi drivers face multidimensional impacts including order diversion, income reduction, and occupational transition pressures. The resultant emotional exhaustion and dangerous driving behaviors have posed significant safety risks to 18 million public transport practitioners and hundreds of millions of commuters. However, existing research demonstrates insufficient empirical analysis of relevant impact mechanisms, constraining academic understanding of potential risks. Grounded in Protection Motivation Theory, this research examines the moderating effects of perceived autonomous driving threats and technology acceptance on the relationship between work-economic stressors and emotional exhaustion, while elucidating the pathways through which stress transmission induces dangerous driving behaviors. The findings will inform policymakers in developing safer technology transition strategies to safeguard public safety and prevent large-scale traffic accidents.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 308-319"},"PeriodicalIF":3.5000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825002128","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This empirical study investigates the occupational safety challenges confronting the traditional taxi industry amidst the innovation of autonomous driving technologies. With the rapid iteration and commercialization of autonomous driving systems, the global taxi service sector is undergoing structural transformation. During this transition, traditional taxi drivers face multidimensional impacts including order diversion, income reduction, and occupational transition pressures. The resultant emotional exhaustion and dangerous driving behaviors have posed significant safety risks to 18 million public transport practitioners and hundreds of millions of commuters. However, existing research demonstrates insufficient empirical analysis of relevant impact mechanisms, constraining academic understanding of potential risks. Grounded in Protection Motivation Theory, this research examines the moderating effects of perceived autonomous driving threats and technology acceptance on the relationship between work-economic stressors and emotional exhaustion, while elucidating the pathways through which stress transmission induces dangerous driving behaviors. The findings will inform policymakers in developing safer technology transition strategies to safeguard public safety and prevent large-scale traffic accidents.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.