Perceived Effectiveness of Messages Designed to Promote the Use of Autonomous Vehicles

Author:

Pettigrew SimoneORCID, ,Booth LeonORCID,

Abstract

Autonomous vehicles will be a key component of the sustainable cities and transport systems of the future. However, there is little data available on effective methods of communicating with the public about these benefits to optimise uptake and achieve their sustainability potential. The aim of this exploratory study was to assess outcomes associated with exposure to various messages communicating proposed benefits of autonomous vehicles. Australians aged 16+ years (n = 1053) responded to two online surveys administered two weeks apart. The instruments included items relating to demographic attributes, driving factors, and attitudes to autonomous vehicles. Respondents were randomised to one of five messages referring to efficient travel time, economic savings, saving lives, mobility for the elderly and disabled, and job opportunities. Messages relating to saving lives and providing mobility for the elderly and disabled performed best, especially in terms of presenting a strong argument (62% agreement) and believability (67% agreement), respectively. The results provide initial evidence that public awareness communications could favourably influence attitudes to autonomous vehicles, potentially enhancing uptake rates to yield corresponding benefits. This information will be of value in countries where the roll-out of autonomous vehicles is a strategic priority to achieve sustainable cities and transport systems.

Publisher

Highlights of Science, S.L.

Cited by 1 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