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This research investigates the optimal placement of charging stations (SPKLU) and battery swapping stations (SPBKLU) for public electric vehicles in Jakarta, in response to the urgent need for environmental sustainability amidst global warming and escalating air pollution. The study, underlining the Indonesian government's initiative (Presidential Regulation No. 55 of 2019) for electric vehicle adoption, employs Particle Swarm optimization (PSO) alongside mathematical models to minimize costs related to construction, operation, and user access. Focusing on PSO for its efficacy in nonlinear problem-solving, the research incorporates data from 320 potential SPKLU locations, emphasizing accessibility to key urban amenities. The method aims to reduce cumulative costs while ensuring optimal distribution of charging facilities across Jakarta's regencies. The results reveal the successful identification of fifty-eight potential SPKLU locations, proving the effectiveness of PSO in cost reduction and accessibility enhancement for electric vehicle users. This study not only provides insights into the strategic placement of EV infrastructure in urban settings but also sets a foundation for future advancements in this field, highlighting the growing need for eco-friendly transportation solutions in metropolitan areas like Jakarta.
Stefani et al. (Wed,) studied this question.
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