小城镇和农村对自动驾驶汽车的看法:来自德克萨斯州一项调查的见解

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Muhammad Usman, Wei Li, Jiahe Bian, Andong Chen, Xinyue Ye, Xiao Li, Bahar Dadashova, Chanam Lee, Kiju Lee, Sivakumar Rathinam, Marcia Ory
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引用次数: 0

摘要

摘要人们对自动驾驶汽车的看法对于理解自动驾驶汽车在未来交通系统中的作用至关重要。之前大多数关于自动驾驶感知的研究都是基于大城市或大都市地区。本研究通过德克萨斯州中部的一项在线调查(n = 1153),提供了关于自动驾驶汽车对小型和农村社区影响的看法的独特视角。我们的调查问卷收集了从文献中确定的基本社会人口统计学特征和AV影响变量。我们使用汇总统计和有序逻辑回归模型来揭示自动驾驶汽车的感知影响。小社区和农村社区的居民,特别是老年人(65岁以上),对自动驾驶汽车的发展比全国平均水平更有热情。我们的研究结果表明,作为一个有工作的、已婚的、收入较高的男性,接受自动驾驶汽车影响的可能性增加,建议进一步研究探索在小型农村社区利用自动驾驶汽车的可行方法。我们非常感谢德州农工交通研究所的Susan Chrysler、Stacey Alejandro和Elissa Cuellar在数据收集过程中的大力支持。作者对本文的贡献如下:研究概念和设计:M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, C. Lee, K. Lee, S. Rathinam, M. Ory;资料收集:M. Usman, Li w, Bian j, A. Chen, Ye X., Li X., B. Dadashova, M. Ory;结果分析与解释:M. Usman,李伟,边建;所有作者都参与了初稿的准备,审查了结果,并批准了手稿的最终版本。披露声明作者未报告潜在的利益冲突。本研究由美国交通部大学交通中心项目的一部分“中断安全”(Safe-D)大学交通中心(UTC)资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small and rural towns’ perception of autonomous vehicles: insights from a survey in Texas
ABSTRACTPeople’s perceptions of Autonomous Vehicles (AVs) are critical to understanding the role of AVs in future transportation systems. Most previous work on AVs perceptions is based on large cities or metropolitan areas. This study provides a unique perspective regarding perceptions of impacts of AVs in small and rural communities through an online survey in Central Texas (n = 1153). Our questionnaires gathered basic socio-demographic characteristics and AV impacts variables identified from the literature. We used summary statistics and ordered logistic regression models to reveal the perceived impacts of AVs. Residents of small and rural communities, particularly older adults (65 + years), were more enthusiastic about the development of AVs than the national average. Our findings reveal that being an employed, married male with a higher income increases the likelihood of accepting the impacts of AVs, suggesting further research to explore a feasible approach to utilizing AVs in small, rural communities.KEYWORDS: Autonomous vehiclePerceptionSmall townRural community AcknowledgmentsWe are grateful to Susan Chrysler, Stacey Alejandro, and Elissa Cuellar from Texas A&M Transportation Institute for their strong support during the data collection.Author contributionsThe authors confirm contribution to the paper as follows: study conception and design: M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, C. Lee, K. Lee, S. Rathinam, M. Ory; data collection: M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, M. Ory; analysis and interpretation of results: M. Usman, W. Li, J. Bian; all authors contributed to draft manuscript preparation, reviewed the results, and approved the final version of the manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study is funded by the Safety through Disruption (Safe-D) University Transportation Center (UTC), part of the University Transportation Center Program of the U.S. Department of Transportation.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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