The preferences of transport mode of certain travelers in the age of autonomous vehicle

IF 2.7 Q1 GEOGRAPHY
Jamil Hamadneh , Domokos Esztergár-Kiss
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引用次数: 2

Abstract

Individuals choose transport modes to travel based on their preferences and journey characteristics. The availability of autonomous vehicles (AVs) on the market will affect the traditional mode choice models. In this regard, this research studies three transport modes: conventional car, privately-owned autonomous vehicle (PAV), and shared autonomous vehicle (SAV). The potential changes in transport mode choice are evaluated, where the impact of changes of some sociodemographic and travel variables on choices are estimated. A discrete choice modeling approach is applied in this study to develop a transport choice model. A stated preference (SP) approach is used, where 306 answers are collected in Hungary. A discrete choice experiment (DCE) is designed to collect the choices of people. Multinomial Logit (MNL) model is applied to the data to develop a transport mode choice model, where differentiations between some parameters across transport modes are presented. People are varied in their willingness to use a transport mode across groups, such as the income, the family size, and the current transport mode. The results demonstrate that people are more likely to use a conventional car than PAV, while they are more likely to use PAV than SAV. The output of this study can be used to support policy implications in the AV era.

在自动驾驶汽车时代,某些出行者对交通方式的偏好
个人根据自己的喜好和行程特点选择出行方式。市场上自动驾驶汽车的可用性将影响传统的模式选择模型。在这方面,本研究研究研究了三种交通方式:传统汽车、私人自动驾驶汽车和共享自动驾驶汽车。评估了交通方式选择的潜在变化,其中估计了一些社会人口和旅行变量的变化对选择的影响。本研究采用离散选择建模方法来开发交通选择模型。采用陈述偏好(SP)方法,在匈牙利收集了306个答案。离散选择实验(DCE)旨在收集人们的选择。将多项式Logit(MNL)模型应用于数据,以开发运输模式选择模型,其中给出了不同运输模式的一些参数之间的差异。不同群体使用交通方式的意愿各不相同,如收入、家庭规模和当前的交通方式。结果表明,人们比PAV更有可能使用传统汽车,而他们比SAV更有可能使用PAV。这项研究的成果可用于支持AV时代的政策含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.90
自引率
0.00%
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