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An Analysis of Attributes of Electric Vehicle Owners' Travel and Purchasing Behavior: The Case of Maryland

机译:电动汽车所有者出行和购买行为的属性分析:以马里兰州为例

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An emerging technology in transportation, electric vehicles (EVs) decrease reliance on pollutant fuels and bring numerous environmental benefits. The current research investigated the socio-demographic attributes that may contribute to EV ownership and owners' purchasing behavior. The goal of this study is providing public policies and recommendations to decision makers to prompt equitable EV usage by identifying influencing socio-demographic attributes of EV purchasing behavior. This study surveyed registered plug-in hybrid electric vehicle (PHEV) and battery electric vehicle (BEV) owners in Maryland from May 28, 2015, to February 19, 2016. In total, 1,257 EV owners in Maryland completed usable surveys. A set of statistical analysis methods was employed to analyze the data. Researchers constructed a multinomial logistic model (MNL) to examine the associations between EV owner characteristics and their reasons for purchasing/leasing the EV, and an analysis of variance test (ANOVA) was carried out to explore possible relationships between EV owners' travel behavior and their socio-demographic features. Findings suggest that, first, age, education, income, household size, number of vehicles in the household, marital status, and political affiliation play a significant role in preferences attributes of participants for purchasing/leasing an EV. Second, environmental issues are the main reason for purchasing/leasing EVs, but the EV owners who had longer commutes were more concerned about the price and status of the EV owner and efficiency and performance than were those with shorter commutes. Third, EV owners who are older and more educated, drive less than other groups.
机译:电动汽车(EV)是交通运输中的一项新兴技术,可减少对污染物燃料的依赖,并带来许多环境效益。当前的研究调查了可能有助于电动汽车所有权和所有者购买行为的社会人口属性。这项研究的目的是向决策者提供公共政策和建议,以通过确定影响电动汽车购买行为的社会人口统计学属性,促进电动汽车的公平使用。该研究调查了2015年5月28日至2016年2月19日在马里兰州注册的插电式混合动力电动汽车(PHEV)和电池电动汽车(BEV)的所有者。马里兰州共有1,257个电动汽车所有者完成了可用的调查。使用了一组统计分析方法来分析数据。研究人员构建了多项逻辑模型(MNL),以研究电动车拥有者特征与其购买/租赁电动汽车的原因之间的关联,并进行了方差分析(ANOVA)分析以探讨电动车拥有者的出行行为与他们的社会人口特征。研究结果表明,首先,年龄,教育程度,收入,家庭规模,家庭中的车辆数量,婚姻状况和政治归属在参与者购买/租赁电动汽车的偏好属性中起着重要作用。其次,环境问题是购买/租赁电动汽车的主要原因,但通勤时间较长的电动汽车所有者比通勤时间较短的电动汽车所有者更关心电动汽车所有者的价格和地位以及效率和性能。第三,年龄更大,受教育程度更高的电动车拥有者的驾驶行为要少于其他群体。

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