Determining the optimal location of Public Electric Vehicle Charging Stations (EVCS) in Jakarta with GIS-SMART method

Faiz Fadhilah, Muhammad Dachyar

Research output: Contribution to journalConference articlepeer-review

Abstract

Electric Vehicle (EV) is an economic and ecological vehicle with power that comes from rechargeable battery in the car. EV itself has many advantages because it produces almost no carbon emissions or pollution, is cost effective and is quiet. The main disadvantage of this vehicle is the problem regarding recharging. This study aims to determine the optimal location for the construction of Public Electric Vehicle Charging Stations (EVCS) in Jakarta through multi-criteria analysis as a basis for calculations. The data in this study is secondary data derived from government reports and previous similar studies. Optimal location of EVCS was carried out through weighted overlay spatial analysis using the Geographic Information System (GIS) method and the final ranking was carried out using the Simple Multi-Attribute Rating Technique (SMART). In this study, there are four scenarios designed to estimate external factors that may affect the criteria for determining the optimal EVCS location. This study was conducted for the City of Jakarta without Kabupaten Kepulauan Seribu. The criteria with the highest weighted value are electric vehicle ownership with a value of 0.163 followed by the population and population income with value of 0.161 and 0.131. The results shows that Kecamatan Kemayoran is the optimal location for EVCS in no-scenario condition with a score of 0.660.

Original languageEnglish
Article number020023
JournalAIP Conference Proceedings
Volume3199
Issue number1
DOIs
Publication statusPublished - 16 Aug 2024
Event2023 International Conference on Sustainability Engineering Education, ICSEE 2023 - Kuala Lumpur, Malaysia
Duration: 24 Jun 202325 Jun 2023

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