Hamadneh Jamil, Esztergár-Kiss Domokos
Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME), Műegyetem rkp. 3, 1111 Budapest, Hungary.
Eur Transp Res Rev. 2022;14(1):15. doi: 10.1186/s12544-022-00540-7. Epub 2022 Apr 18.
According to the economic theory assumption, travelers tend to monetize travel time based on factors related to their individual and trip characteristics. In the literature, a limited number of studies evaluating onboard activities on traveler's utility in the presence of the autonomous vehicle (AV) are found. In the current research, traveler preferences on board of three transport modes: individual-ride autonomous vehicle (IR-AV), shared-ride autonomous vehicle (SAV), and public transport (PT) are studied. The focus of this paper is the examination of travelers in urban areas, where traveling is relatively short, and the study of the travelers' main trip purposes. The impact of travel time, travel cost, and main onboard activity is estimated based on a discrete choice experiment (DCE). The in-vehicle onboard activities are divided into six onboard activities, where active and passive activities are considered. An experimental design and a stated preference (SP) survey are carried out. The result of the SP survey is analyzed, where a Mixed Logit (ML) model, which includes various explanatory variables, is applied. The developed model contains such variables as trip time, trip cost, main onboard activity, frequent transport mode, job, age, and car ownership. These variables show various effects on the probability of choosing a transport mode. The impact of change in travel time, travel cost, and each of the six onboard activities on traveler preferences is highlighted. As a result, variations on the impact of time, cost, and onboard activities are demonstrated. Furthermore, it is presented that people prefer using IR-AV over SAV and PT, while the probability of choosing SAV is the lowest. Besides, reading and using social media affect the utility of travelers positively (i.e., higher probability) to a greater extent than other activities, while writing alone demonstrates negative utility.
根据经济理论假设，旅行者倾向于根据与他们个人及行程特征相关的因素，将旅行时间货币化。在文献中，发现仅有少数研究评估了在自动驾驶车辆（AV）存在的情况下，车载活动对旅行者效用的影响。在当前研究中，对三种交通方式（个人乘坐自动驾驶车辆（IR-AV）、共享乘坐自动驾驶车辆（SAV）和公共交通（PT））上旅行者的偏好进行了研究。本文的重点是对城市地区旅行时间相对较短的旅行者进行考察，并研究旅行者的主要出行目的。基于离散选择实验（DCE）估计旅行时间、旅行成本和主要车载活动的影响。车内车载活动分为六项车载活动，其中包括主动和被动活动。进行了实验设计和陈述偏好（SP）调查。对SP调查结果进行了分析，应用了包含各种解释变量的混合逻辑（ML）模型。所开发的模型包含行程时间、行程成本、主要车载活动、常用交通方式、工作、年龄和汽车拥有情况等变量。这些变量对选择交通方式的概率显示出不同的影响。突出了旅行时间、旅行成本以及六项车载活动中的每一项变化对旅行者偏好的影响。结果表明了时间、成本和车载活动影响的变化情况。此外，研究表明人们更喜欢使用IR-AV而不是SAV和PT，而选择SAV的概率最低。此外，阅读和使用社交媒体对旅行者效用的积极影响（即更高的概率）比其他活动更大，而独自写作则显示出负效用。
