DESIGNING GIS-BASED SITE SELECTION MODEL for URBAN INVESTMENT PLANNING in SMART CITIES with the CASE of ELECTRIC VEHICLE CHARGING STATIONS

Abstract

It is of great importance that different sectoral investments such as energy, technology, education, logistics, health, industry, transportation, construction, tourism, which will be realized in globalizing and crowded cities, are made in the most suitable city areas. In order to obtain the maximum efficiency from the unit city area for any sectoral investment activity and to develop more planned and liveable cities, many decision parameters in investment management should be handled rationally by integrated a geographical perspective. In this study, designing GIS-based site selection models was examined for effective decision-making in the investment planning process for smart cities. In this context, different sectoral investment applications examining implementation requirements were determined for smart cities. Electric vehicle charging stations (EVCS) site selection application was determined as a case study, to design a GIS-based integrated site selection model for investment planning in smart city concept. Data preparation and analysis models were designed for determining the most suitable EVCSs location. EVSC site selection affecting criteria and criteria weights (by MCDA techniques) were researched in the literature. For this purpose, 15 criteria defined by three main criteria groups, namely Environmental/ Geographical, Economic Criteria, and Urbanity Criteria were determined. Designed models were performed analysing EVCSs suitability map in Pendik district of Istanbul. Normalized raster maps related to 15 criteria and EVCSs suitability map were produced with five suitability degrees for the Pendik district. Also, by designing the models, an integrated and planned investment mechanism can be developed for the impressive and efficient use of urban resources in smart city investments. © 2021 Elsevier B.V., All rights reserved.