{"title":"了解社会对自动驾驶的态度:来自中国公民的视角","authors":"Zhenning Li, Ruru Tang, Guofa Li, Chengzhong Xu","doi":"10.1007/s11116-024-10480-x","DOIUrl":null,"url":null,"abstract":"<p>Given the rapid advancement of autonomous driving technology, discerning public willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for their successful promotion, hastened adoption, and enhanced safety in forthcoming mixed autonomy traffic scenarios. This study employs a comprehensive online survey to scrutinize the factors influencing these objectives, encompassing socioeconomic and demographic elements, driving experience, and attitudes towards autonomous vehicles. Leveraging a sophisticated discrete choice model-the mixed logit model with heterogeneity in means and variances-this analysis unveils significant impacts of public social attitudes towards autonomous vehicles and current driving behavior on their willingness to pay for and behavior around autonomous vehicles. This paper’s contributions span theoretical modeling, experimental design, and estimation outcomes, offering valuable insights for policymakers and automobile manufacturers.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"42 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens\",\"authors\":\"Zhenning Li, Ruru Tang, Guofa Li, Chengzhong Xu\",\"doi\":\"10.1007/s11116-024-10480-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Given the rapid advancement of autonomous driving technology, discerning public willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for their successful promotion, hastened adoption, and enhanced safety in forthcoming mixed autonomy traffic scenarios. This study employs a comprehensive online survey to scrutinize the factors influencing these objectives, encompassing socioeconomic and demographic elements, driving experience, and attitudes towards autonomous vehicles. Leveraging a sophisticated discrete choice model-the mixed logit model with heterogeneity in means and variances-this analysis unveils significant impacts of public social attitudes towards autonomous vehicles and current driving behavior on their willingness to pay for and behavior around autonomous vehicles. This paper’s contributions span theoretical modeling, experimental design, and estimation outcomes, offering valuable insights for policymakers and automobile manufacturers.</p>\",\"PeriodicalId\":49419,\"journal\":{\"name\":\"Transportation\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s11116-024-10480-x\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11116-024-10480-x","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens
Given the rapid advancement of autonomous driving technology, discerning public willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for their successful promotion, hastened adoption, and enhanced safety in forthcoming mixed autonomy traffic scenarios. This study employs a comprehensive online survey to scrutinize the factors influencing these objectives, encompassing socioeconomic and demographic elements, driving experience, and attitudes towards autonomous vehicles. Leveraging a sophisticated discrete choice model-the mixed logit model with heterogeneity in means and variances-this analysis unveils significant impacts of public social attitudes towards autonomous vehicles and current driving behavior on their willingness to pay for and behavior around autonomous vehicles. This paper’s contributions span theoretical modeling, experimental design, and estimation outcomes, offering valuable insights for policymakers and automobile manufacturers.
期刊介绍:
In our first issue, published in 1972, we explained that this Journal is intended to promote the free and vigorous exchange of ideas and experience among the worldwide community actively concerned with transportation policy, planning and practice. That continues to be our mission, with a clear focus on topics concerned with research and practice in transportation policy and planning, around the world.
These four words, policy and planning, research and practice are our key words. While we have a particular focus on transportation policy analysis and travel behaviour in the context of ground transportation, we willingly consider all good quality papers that are highly relevant to transportation policy, planning and practice with a clear focus on innovation, on extending the international pool of knowledge and understanding. Our interest is not only with transportation policies - and systems and services – but also with their social, economic and environmental impacts, However, papers about the application of established procedures to, or the development of plans or policies for, specific locations are unlikely to prove acceptable unless they report experience which will be of real benefit those working elsewhere. Papers concerned with the engineering, safety and operational management of transportation systems are outside our scope.