| A GIS BASED MULTI CRITERIA DECISION ANALYSIS FOR EV’s (ELECTRIC VEHICLES) SOLAR POWERED CHARGING STATIONS SITE SELECTION IN ISLAMABAD, PAKISTAN |
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Huzaifa Sarfraz, Saleha Ansari, Syed Abdul Rehman Peerzada, Sana Asif, Abdul Waheed Article DOI: www.doi.org/10.53700/jrap3522025_3 ABSTRACT Electric vehicles (EVs) are gaining popularity as a more sustainable substitute for traditional gasoline-powered automobiles. They not only produce fewer pollutants but also contribute to mitigating climate change and improving air quality. However, maintaining these cars calls for suitable charging infrastructure, which may be really difficult for developing nations like Pakistan. This study aims to identify ideal locations for solar energy-based charging stations in Islamabad, Pakistan, using a multi-criteria decision analysis (MCDA) method based on geographic information systems (GIS). The study uses real-world constraints with structured weighing methodology which is underexplored in the South-Asian context. This strategy include several variables, including solar availability, land use patterns, accessibility, and preexisting infrastructure. A weighted linear overlay was used to create the final suitability map after methodologies like the Analytic Hierarchy Process (AHP) were used to set the weights for these parameters. The best locations for charging stations were found using this map. The second part of this study aims to develop a mobile application to reduce range anxiety, and create a user-friendly platform that supports the growth of electric vehicle adoption in Islamabad. Keywords: GIS, solar power, climate change, electric vehicles, charging stations, AHP.
Volume 35 Issue 2 |
ISSN (P) 1728-7715 - ISSN (E) 2519-5050 Issue DOI: www.doi.org/10.53700/jrap3522025 |
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