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Research And Publication

Title Optimal allocation of electric vehicle charging infrastructure using GIS methodology
Authors Kumar Sunil; Parihar, Shrutika; Garg, Amit
Type Working Paper
Publication Date 11-Dec-2018
Year 2018
Abstract The utilization of charging infrastructure for electric vehicles is very important in order to get returns from the investments made for charging assets. The charging infrastructure utilization, however, depends on many factors such as vehicle ownership, location and type of parking spaces, paying capacity, and owner profile. The paper determines the optimal charging locations through multifactor analysis using Global Information System (GIS) over 23 factors separately for home (4), workplace (1), and public charging (18). This is done for the city of Navi Mumbai using real demographic and land use data. The potential locations are demand driven. The potential office charging locations are mostly spread in Southern parts of Navi Mumbai that has more government offices. Home and public charging locations are almost evenly spread across all wards except Airoli and Koparkhairane that seem to be lagging in demand.

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