An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan
An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan
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DOI：
10.3390/su12062157
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发表时间：
2020-03-02
期刊：
影响因子：
3.9
通讯作者：
Fukuda, Daisuke
中科院分区：
文献类型：
--
作者：
Abe, Ryosuke;Kita, Yusuke;Fukuda, Daisuke
许多地区或国家的自动驾驶汽车（AV）安全指南要求AV服务提供商拥有与车辆通信的手段，以及在紧急情况下安全停车的能力。向全面部署反病毒服务的过渡取决于更先进的监测方法。本研究通过对日本城市约2000名居民的调查，探讨了监控方法如何影响他们使用这些服务的意愿。特别是，该调查旨在了解个人对包括公共汽车和出租车在内的道路客运服务中无人值守操作和远程监控的反应;调查包括关于使用自动驾驶公共汽车和出租车的意图的直接问题，以及基于受访者对其当前交通方式和自动驾驶出租车的偏好的陈述选择实验。结果表明，监测方法的影响好坏参半。一方面，监管可能会影响AV服务的普遍接受程度。使用这些服务的总体阻力在机载人工和远程监控选项之间的差异特别大。个人往往对更先进的远程监控表示更强烈的抵制。另一方面，所述的选择结果表明，这些监测因素的影响可能不太显着，在实际设置的交通方式的选择，旅行成本和时间因素的影响可能是更显着的。这些结果表明，当人们在现实世界的决策背景下考虑自动驾驶汽车时，与他们对抽象问题的反应相比，他们对新技术的抵抗力有所减弱。
Safety guidelines for autonomous vehicles (AVs) in many regions or countries require AV service providers to have the means to communicate with vehicles and the ability to stop them safely in case of emergencies. The transition to full deployment of AV services is dependent on more advanced monitoring methods. This study uses a survey of approximately 2000 residents of Japanese cities to investigate how monitoring methods affect their intentions to use these services. In particular, the survey is designed to understand how individuals react to unattended operations and remote monitoring in road passenger services including buses and taxis; the survey includes direct questions about intentions to use autonomous buses and taxis and a stated choice experiment based on the respondents' preferences over their current mode of transportation and autonomous taxis. The results show that monitoring methods have mixed impacts. On one hand, monitoring could affect the general acceptance of AV services. The difference in the overall resistance to using these services is particularly large between the onboard human and remote monitoring options. Individuals tend to express stronger resistance to more advanced remote monitoring. On the other hand, the stated choice results show that the effects of these monitoring factors could be less significant in the actual settings of transportation mode choices; the effects of travel cost and time factors are likely to be more significant. These results suggest that when individuals consider AVs in the context of real-world decisions, their resistance to new technologies is diminished in comparison to their responses to abstract questions.