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http://dx.doi.org/10.7851/ksrp.2015.21.1.019

Analysis of Construction Plans of Rapid Charging Infrastructures based on Gas Stations in Rural Areas to Propagate Electric Vehicles  

Kim, Solhee (Department of Landscape Architecture and Rural Systems Engineering, Seoul National University)
Kim, Taegon (The NorthStar Initiative for Sustainable Enterprise (NiSE), Institute on the Environment, University of Minnesota)
Suh, Kyo (Graduate School of International Agricultural Technology, Seoul National University, Institute of Green Bio Science & Technology, Seoul National University Research Institute for Agriculture and Life Sciences, Seoul National University)
Publication Information
Journal of Korean Society of Rural Planning / v.21, no.1, 2015 , pp. 19-28 More about this Journal
Abstract
As environmental concerns including climate change drive the strong regulations for car exhaust emissions, electric vehicles attract the public eye. The purpose of this study is to identify rural areas vulnerable for charging infrastructures based on the spatial distributions of the current gas stations and provide the target dissemination rates for promoting electric cars. In addition, we develop various scenarios for finding optimal way to expand the charging infrastructures through the administrative districts data including 11,677 gas stations, the number of whole national gas stations. Gas stations for charging infrastructures are randomly selected using the Monte Carlo Simulation (MCS) method. Evaluation criteria for vulnerability assessment include five considering the characteristic of rural areas. The optimal penetration rate is determined to 21% in rural areas considering dissemination efficiency. To reduce the vulnerability, the charging systems should be strategically installed in rural areas considering geographical characteristics and regional EV demands.
Keywords
Climate Change; Vulnerable Area; Electric Vehicle; Charging Infrastructure; Gas Station; Optimal Penetration Rate;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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