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在共享道路上的安全感知:驾驶、骑行或步行靠近自动驾驶车辆。

Perceptions of safety on a shared road: Driving, cycling, or walking near an autonomous vehicle.

机构信息

Department of Civil and Environmental Engineering, West Virginia University, Morgantown, WV 26506, United States.

Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States.

出版信息

J Safety Res. 2020 Feb;72:249-258. doi: 10.1016/j.jsr.2019.12.017. Epub 2020 Jan 14.

Abstract

INTRODUCTION

While improved safety is a highly cited potential benefit of autonomous vehicles (AVs), at the same time a frequently cited concern is the new safety challenges that AVs introduce. The literature lacks a rigorous exploration of the safety perceptions of road users who will interact with AVs, including vulnerable road users. Addressing this gap is essential because the successful integration of AVs into transportation systems hinges on an understanding of how all road users will react to their presence.

METHODS

A stated preference survey of the Phoenix, Arizona, metropolitan statistical area (Phoenix MSA) was conducted in July 2018. A series of ordered probit models was estimated to analyze the survey responses and identify differences between various population groups with respect to the perceived safety of driving, cycling, and walking near AVs.

RESULTS

Greater exposure to and awareness of AVs are not uniformly associated with increases in perceived safety. Various attitudinal factors, level of AV automation, and other intrinsic and extrinsic factors are related to safety perceptions of driving, walking, and cycling near AVs. Socioeconomic and demographic characteristics, such as gender, age, income, employment, and automobile usage and ownership, have various relationships with perceived safety.

CONCLUSIONS

Cycling near an AV was perceived as the least safe activity, followed by walking and then driving near an AV. Both similarities and differences were observed among the factors associated with the perceived safety of different travel alternatives. Practical Applications: Public perception will guide the development and adoption of AVs directly and indirectly. To help maintain control of public perception, transportation planners, decision makers, and other stakeholders should consider more deliberate and targeted messaging to address the concerns of different road users. In addition, more careful pilot testing and more direct attention to vulnerable road users may help avoid a backlash that could delay the rollout of this technology.

摘要

引言

自动驾驶汽车(AVs)的一个被高度引用的潜在优势是提高安全性,但与此同时,人们经常担心的是 AVs 带来的新的安全挑战。文献中缺乏对将与 AV 交互的道路使用者(包括弱势道路使用者)的安全感知的严格探索。解决这一差距至关重要,因为成功将 AV 融入交通系统取决于了解所有道路使用者将如何对其存在做出反应。

方法

2018 年 7 月,对凤凰城大都市区(Phoenix MSA)进行了一项基于陈述偏好的调查。估计了一系列有序概率模型,以分析调查结果,并确定不同人群群体对在 AV 附近驾驶、骑自行车和步行的感知安全性的差异。

结果

对 AV 的更多接触和了解并不总是与感知安全性的提高相关。各种态度因素、AV 自动化水平以及其他内在和外在因素与在 AV 附近驾驶、步行和骑自行车的安全感知有关。社会经济和人口特征,如性别、年龄、收入、就业以及汽车使用和拥有情况,与感知安全性存在各种关系。

结论

在 AV 附近骑自行车被认为是最不安全的活动,其次是步行,然后是在 AV 附近驾驶。在与不同交通方式的感知安全性相关的因素中,既存在相似之处,也存在差异。

实际应用

公众的看法将直接和间接地指导 AV 的开发和采用。为了帮助控制公众的看法,交通规划者、决策者和其他利益相关者应该考虑更有针对性的信息传递,以解决不同道路使用者的担忧。此外,更仔细的试点测试和更直接关注弱势道路使用者可能有助于避免可能延迟这项技术推出的反弹。

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