Estimation of vehicle home parking availability in China and quantification of its potential impacts on plug-in electric vehicle ownership cost

被引:39
作者
Ou, Shiqi [1 ]
Lin, Zhenhong [1 ]
He, Xin [2 ]
Przesmitzki, Steven [2 ]
机构
[1] Oak Ridge Natl Lab, Natl Transportat Res Ctr, Knoxville, TN 37932 USA
[2] Aramco Serv Co, Aramco Res Ctr Detroit, Novi, MI 48377 USA
关键词
China's vehicle market; Home parking availability; Data mining; Vehicle ownership cost; Monte carlo simulation; Electric vehicle charging; NEW-YORK-CITY; REQUIREMENTS; EMISSIONS; POLICIES; CITIES; ENERGY; RANGE;
D O I
10.1016/j.tranpol.2018.04.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
China has become the world's largest plug-in electric vehicle (PEV) market. One major barrier to greater consumer acceptance of PEVs is the lack of home parking spaces for charging outlets. This study developed a methodology to estimate the residential parking ratios (parking spaces vs household numbers) and project the residential community-weighted parking availabilities (home parking availabilities) in China, by area and by province, through data mining from several major real estate trading network platforms. The results show that the home parking availabilities from 2015 to 2050 vary by geographic areas and building life expectancy. A method was developed to quantify the shadow values of home parking impacting on PEV ownership costs and combined with Monte Carlo simulation to address estimation uncertainty. Depending on the PEV type and all electric range, the value of home parking space to a PEV owner, measured by the reduced vehicle ownership cost, ranges from $2399 USD to $10,802 USD. The total incremental shadow value, relative to the 2015 situation, of the home parking availability for PEV owners increases over time due to both improvement in home parking availability and increase in the PEV population, and is estimated to reach over $2.51 billion USD by 2025 (U.S. dollars in 2015 level).
引用
收藏
页码:107 / 117
页数:11
相关论文
共 42 条
[41]   Market-driven automotive industry compliance with fuel economy and greenhouse gas standards: Analysis based on consumer choice [J].
Xie, Fei ;
Lin, Zhenhong .
ENERGY POLICY, 2017, 108 :299-311
[42]   Strategic policies and demonstration program of electric vehicle in China [J].
Zheng, Jie ;
Mehndiratta, Shomik ;
Guo, Jessica Y. ;
Liu, Zhi .
TRANSPORT POLICY, 2012, 19 (01) :17-25