Value of travel time (VOT) serves as a crucial metric for understanding the benefits of transport investments and policy initiatives. Despite numerous studies estimating the VOT for Autonomous Vehicles (AVs), consensus remains elusive, and the variability of the factors influencing AV VOT estimates has yet to be thoroughly explored. This study addresses these gaps through a meta-regression analysis of AV VOT estimates drawn from 24 published studies. 22 factors were identified, through a systematic review of the literature, likely to affect AV VOT estimates. The relative impact of each of the factors on AV VOT were estimated, controlling for the effects of other factors. Results show that eight factors have a statistically significant effect on AV VOT. Income was found to have the greatest effect on AV VOT, followed by geographical location and driver’s licence. High-income people, residents in urban areas, and people without driving licence place a higher VOT for AV travel – i.e., these groups are willing to pay more for reducing one unit of their travel time. High-income individuals are willing to pay AU$8 more per hour than low-income individuals, urban residents are willing to pay AU$6.5 more per hour than rural residents, and people without a driving licence are willing to pay AU$3.7 more per hour than those with one. Results aid future research in two ways: identifying factors that could impact the value of travel time for AVs and guiding the design of experimental setups for future AV VOT estimates. Additionally, results will help policymakers assess the benefits and costs of implementing AV-related policies in different contexts.

中文翻译：

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测量影响自动驾驶汽车行驶时间价值的因素的相对影响


旅行时间价值 （VOT） 是了解交通投资和政策举措的好处的关键指标。尽管有许多研究估计了自动驾驶汽车 （AV） 的 VOT，但共识仍然难以捉摸，影响 AV VOT 估计的因素的可变性尚未得到彻底探索。本研究通过对 24 项已发表研究的 AV VOT 估计值进行荟萃回归分析来解决这些差距。通过对文献的系统评价，确定了 22 个可能影响 AV VOT 估计的因素。估计每个因素对 AV VOT 的相对影响，控制其他因素的影响。结果显示，八个因素对 AV VOT 有统计学上的显著影响。研究发现，收入对 AV VOT 的影响最大，其次是地理位置和驾驶执照。高收入人群、城市居民和没有驾驶执照的人对 AV 旅行的 VOT 要求更高——也就是说，这些群体愿意为减少一个单位的旅行时间支付更多费用。高收入者愿意比低收入者每小时多支付 8 澳元，城市居民愿意比农村居民每小时多支付 6.5 澳元，没有驾驶执照的人愿意比有驾照的人每小时多支付 3.7 澳元。结果以两种方式帮助未来的研究：确定可能影响 AV 旅行时间价值的因素，并指导未来 AV VOT 估计的实验设置设计。此外，结果将帮助政策制定者评估在不同情况下实施 AV 相关政策的收益和成本。