Who Will Own and Have Propriety over Our Automated Future? Considering Governance of Ownership to Maximize Access, Efficiency, and Equity in Cities

Author:

Campbell Hamish1

Affiliation:

1. City of Mississauga, Mississauga, ON, Canada

Abstract

Automated vehicle technology presents an opportunity to remake urban mobility in a way that maximizes access, efficiency, and equity. One of the roles for policymakers is to ensure that future governance of automated vehicles (AVs) achieves this. When considering governance, the current literature centers on issues related to the safe operation and deployment of AVs but has not fully considered the implications of AV ownership and ridesourcing platform data propriety on achieving the most desirable urban mobility outcomes. Specifically, the literature has not considered: a future scenario where individually owned AVs are shared when not in use; and the implications of ridesourcing platform data remaining proprietary in future. This paper analyzes why: the future of AV ownership may not be a binary choice between owning an AV/not sharing and sharing an unowned fleet, which is the current consensus in the literature; the incentives for consumers to simultaneously own an AV and share it when they are not using it could be high; the way ridesourcing platform data is collected, used, and shared could be a very influential factor for urban mobility outcomes, but its implications have not been robustly analyzed in the literature; and future scenario-building and modeling should consider the implications of widespread sharing of individually owned AVs, as well as the implications of ridesourcing platform data propriety on urban mobility outcomes. Developing a foundation for future good governance of AV ownership and ridesourcing platform data propriety should be an immediate priority for researchers, policymakers, and practitioners.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3