数字道路与数据伦理:探索道路使用者的视角

IF 4.4 2区 工程技术 Q1 PSYCHOLOGY, APPLIED
Rongqiu Song , Dimitris Potoglou , Nadeem Fayyaz , Mehreen Ashraf , Katarzyna Stawarz , George Theodorakopoulos , Tim Edwards , Emyr Thomas , Yulia Cherdantseva
{"title":"数字道路与数据伦理:探索道路使用者的视角","authors":"Rongqiu Song ,&nbsp;Dimitris Potoglou ,&nbsp;Nadeem Fayyaz ,&nbsp;Mehreen Ashraf ,&nbsp;Katarzyna Stawarz ,&nbsp;George Theodorakopoulos ,&nbsp;Tim Edwards ,&nbsp;Emyr Thomas ,&nbsp;Yulia Cherdantseva","doi":"10.1016/j.trf.2025.103330","DOIUrl":null,"url":null,"abstract":"<div><div>The implementation of ‘Digital Roads’ initiatives in the UK promises to revolutionise transportation through the integration of cutting-edge technologies such as artificial intelligence (AI) and connected vehicles. However, this technological advancement brings with it the potential for extensive data collection pertaining to road users. Understanding the concerns of these users is important for the successful adoption of these transformative transportation technologies and provides the foundation towards building user-centred ethical frameworks. This study reports evidence from five workshops with 20 participants from diverse backgrounds including computer science and cybersecurity, business, geography and planning. Each workshop captured user narratives including concerns, questions, and suggestions against three scenarios that were likely to be implemented on UK motorways in the future. The scenarios involved a hypothetical, but realistic implementation of various technologies aimed at enhancing road safety but could also be a threat to their privacy. For example, one scenario involved AI-based identification of bad driving behaviour under which participants were in turn, either a road user or the violator. The thematic analysis of the workshop data pointed towards six primary concerns: data privacy, technology reliability, data security, awareness of data collection practices, possible consequences of data collection, and the involvement of third-party entities. Addressing these concerns will be instrumental in fostering public trust and acceptance of new technologies in transportation. These findings also suggest the importance of transparency, awareness, data security, fairness, inclusivity, and accountability in ensuring data ethics within the realm of digital transportation infrastructure.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103330"},"PeriodicalIF":4.4000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital roads and data ethics: Exploring the road users’ perspective\",\"authors\":\"Rongqiu Song ,&nbsp;Dimitris Potoglou ,&nbsp;Nadeem Fayyaz ,&nbsp;Mehreen Ashraf ,&nbsp;Katarzyna Stawarz ,&nbsp;George Theodorakopoulos ,&nbsp;Tim Edwards ,&nbsp;Emyr Thomas ,&nbsp;Yulia Cherdantseva\",\"doi\":\"10.1016/j.trf.2025.103330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The implementation of ‘Digital Roads’ initiatives in the UK promises to revolutionise transportation through the integration of cutting-edge technologies such as artificial intelligence (AI) and connected vehicles. However, this technological advancement brings with it the potential for extensive data collection pertaining to road users. Understanding the concerns of these users is important for the successful adoption of these transformative transportation technologies and provides the foundation towards building user-centred ethical frameworks. This study reports evidence from five workshops with 20 participants from diverse backgrounds including computer science and cybersecurity, business, geography and planning. Each workshop captured user narratives including concerns, questions, and suggestions against three scenarios that were likely to be implemented on UK motorways in the future. The scenarios involved a hypothetical, but realistic implementation of various technologies aimed at enhancing road safety but could also be a threat to their privacy. For example, one scenario involved AI-based identification of bad driving behaviour under which participants were in turn, either a road user or the violator. The thematic analysis of the workshop data pointed towards six primary concerns: data privacy, technology reliability, data security, awareness of data collection practices, possible consequences of data collection, and the involvement of third-party entities. Addressing these concerns will be instrumental in fostering public trust and acceptance of new technologies in transportation. These findings also suggest the importance of transparency, awareness, data security, fairness, inclusivity, and accountability in ensuring data ethics within the realm of digital transportation infrastructure.</div></div>\",\"PeriodicalId\":48355,\"journal\":{\"name\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"volume\":\"115 \",\"pages\":\"Article 103330\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-08-06\",\"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/S1369847825002785\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825002785","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

摘要

英国实施的“数字道路”计划有望通过人工智能(AI)和互联汽车等尖端技术的整合,彻底改变交通运输。然而,这一技术进步带来了收集与道路使用者有关的大量数据的潜力。了解这些用户的关注点对于成功采用这些变革性交通技术非常重要,并为建立以用户为中心的道德框架奠定了基础。这项研究报告了来自5个研讨会的证据,20名参与者来自不同的背景,包括计算机科学和网络安全、商业、地理和规划。每个研讨会都收集了用户的叙述,包括对未来可能在英国高速公路上实施的三种场景的关注、问题和建议。这些场景包括一个假设的,但现实的各种技术的实施,旨在提高道路安全,但也可能对他们的隐私构成威胁。例如,一个场景涉及到基于人工智能的不良驾驶行为识别,在这个场景中,参与者要么是道路使用者,要么是违规者。对讲习班数据的专题分析指出了六个主要问题:数据隐私、技术可靠性、数据安全、对数据收集做法的认识、数据收集的可能后果以及第三方实体的参与。解决这些问题将有助于促进公众对交通运输新技术的信任和接受。这些发现还表明,在数字交通基础设施领域,透明度、意识、数据安全、公平性、包容性和问责制对于确保数据道德的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital roads and data ethics: Exploring the road users’ perspective
The implementation of ‘Digital Roads’ initiatives in the UK promises to revolutionise transportation through the integration of cutting-edge technologies such as artificial intelligence (AI) and connected vehicles. However, this technological advancement brings with it the potential for extensive data collection pertaining to road users. Understanding the concerns of these users is important for the successful adoption of these transformative transportation technologies and provides the foundation towards building user-centred ethical frameworks. This study reports evidence from five workshops with 20 participants from diverse backgrounds including computer science and cybersecurity, business, geography and planning. Each workshop captured user narratives including concerns, questions, and suggestions against three scenarios that were likely to be implemented on UK motorways in the future. The scenarios involved a hypothetical, but realistic implementation of various technologies aimed at enhancing road safety but could also be a threat to their privacy. For example, one scenario involved AI-based identification of bad driving behaviour under which participants were in turn, either a road user or the violator. The thematic analysis of the workshop data pointed towards six primary concerns: data privacy, technology reliability, data security, awareness of data collection practices, possible consequences of data collection, and the involvement of third-party entities. Addressing these concerns will be instrumental in fostering public trust and acceptance of new technologies in transportation. These findings also suggest the importance of transparency, awareness, data security, fairness, inclusivity, and accountability in ensuring data ethics within the realm of digital transportation infrastructure.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信