期刊
TRAVEL BEHAVIOUR AND SOCIETY
卷 26, 期 -, 页码 67-83出版社
ELSEVIER
DOI: 10.1016/j.tbs.2021.09.004
关键词
Vehicle miles traveled; Plug-in Electric Vehicles; Multivariate analysis
This study analyzes the household vehicle miles traveled (VMT) of Plug-in Electric Vehicles (PEVs) in California, finding that factors such as population density, built environment, attitudes, electric driving range, and infrastructure access influence PEV VMT. A lower electricity price at home may lead to a higher share of PEV VMT in total household VMT, but without rebound effect observed. The study suggests that the factors influencing PEV VMT are similar to those observed for conventional gasoline vehicles.
Household vehicle miles traveled (VMT) has traditionally been studied in the context of gasoline vehicles. In this study, we analyze VMT of Plug-in Electric Vehicles (PEVs) to understand PEV use and the factors that influence their use in a household. We use data from a unique repeat survey of PEV owners in California who were originally surveyed when they first bought their vehicle. Having two survey responses per household allows us to obtain more reliable VMT data and analyze the change in VMT over the vehicle ownership period. The results show that PEV VMT is correlated with traditional factors like population density, built environment, attitudes towards technology, and lifestyle preferences. Specific to PEVs, electric driving range and access to infrastructure, have a major influence on PEV VMT. Moreover, while lower electricity price at home may lead to a higher share of PEV VMT in total household VMT, we do not identify the presence of rebound effect. Overall, we observe that factors influencing PEV VMT are like those observed for conventional gasoline vehicles. We find that PEVs drive a similar amount as conventional vehicles, not less (due to range anxiety) as some have suggested. The results have implications for emissions impact assessments and travel demand models that depend on assumptions of average annual VMT for policymaking.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据