The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom

The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom
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DOI:
10.1016/j.jtrangeo.2018.08.020
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发表时间:
2018-10
影响因子:
6.1
通讯作者:
C. Morton;J. Anable;Godwin Yeboah;C. Cottrill
C. Morton;J. Anable;Godwin Yeboah;C. Cottrill
中科院分区:
工程技术2区
文献类型:
--
作者:
C. Morton;J. Anable;Godwin Yeboah;C. Cottrill

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本文报告了在市场发展的早期阶段,在英国的地方当局的电动汽车登记的空间分析。空间自相关测试,以确定任何空间组织的登记率和空间回归模型被指定为考虑社会经济,家庭和交通系统的特点超过注册的影响。特别关注电动汽车注册与充电基础设施存在之间的关联,以考虑注册是否受到附近和中间附近基础设施的影响。分析结果表明,电动汽车需求表现出适度的空间聚集,这表明领先和落后市场的出现,电动汽车吸收量的空间变化可以通过地方当局的其他特征部分解释。与教育水平、就业状况、收入水平、人口密度、居住类型、家庭规模、汽车可用性和混合动力汽车的存在有关的特征是解释电动汽车登记率的重要因素。此外,地方当局内安装的充电点基础设施水平与电动汽车需求呈正相关。从政策的角度来看,本文报告的结果表明,当地条件可能对电动汽车的采用率很重要,这在考虑制定有针对性的地理干预措施以加速电动汽车需求时可能有用。
This paper reports a spatial analysis of Electric Vehicle registrations across the local authorities of the United Kingdom during the early phase of market development. Spatial autocorrelation tests are applied in order to identify any spatial organisation in registrations rates and spatial regression models are specified to consider the effect of socioeconomic, household, and transport system characteristics over registrations. Specific attention is paid to the association between Electric Vehicle registrations and the presence of charging infrastructure to consider if registrations are affected by infrastructure in the immediate and intermediate vicinity.The results of the analysis suggest Electric Vehicle demand exhibits a moderate degree of spatial clustering, which indicates the emergence of lead and laggard markets, and that the spatial variation in Electric Vehicle uptake can be partially explained through other characteristics of the local authorities. Characteristics relating to education level, employment status, income level, population density, dwelling type, household size, car availability, and the presence of Hybrid Electric Vehicles are significant factors in explaining the rate of Electric Vehicle registrations. Moreover, the level of charge point infrastructure installed within a local authority is positively associated with EV demand. From a policy perspective, the results reported in this paper indicate that local conditions are likely to be important in the rate of Electric Vehicle adoption, which may be of use when considering the development of geographically targeted interventions to accelerate Electric Vehicle demand.