Geospatial Analysis for Electric Vehicle Charging Infrastructure Development in Mindanao
Benjie Boy T. Santander | Ambrosio B. Cultura Ii | Christopher S. Dolino
Discipline: electrical and electronic engineering
Abstract:
This study presents a geospatial methodology for the optimal siting
of Electric Vehicle Charging Stations (EVCS) across the island of Mindanao,
Philippines. With limited existing infrastructure and vast intercity distances,
the research aims to support the country’s transition to sustainable mobility by
identifying technically viable and strategically located EVCS sites. Using a
sequential site refinement approach, the analysis integrates shortest-path
routing, elevation profiling, grid accessibility, and solar irradiance potential to
evaluate candidate locations along long-haul transport corridors. Eleven
strategic city pairs were selected based on criteria including corridor length,
economic significance, terrain challenges, and infrastructure gaps. Initial EVCS
placements were determined using midpoint and anchor-site strategies on
validated road networks. These placements were then refined through a
stepwise GIS-based filtering process. Of the nine initial candidate sites, four
were identified as anchor sites and five as midpoint sites. Elevation constraints
did not eliminate any candidate locations, indicating full topographic
feasibility. Solar resource analysis confirmed suitability for the majority of the
proposed network. In addition, thirteen assumed urban electric vehicle
charging station (EVCS) locations were incorporated into the network
assessment. Elevation data from SRTM DEMs informed terrain-sensitive
adjustments, while the lack of substation-level grid proximity data necessitated
prioritizing solar-hybrid solutions. GHI values from the Global Solar Atlas
confirmed the suitability of off-grid solar deployment in most proposed sites.
The final EVCS network consists of midpoint and anchor stations supported by
solar or hybrid energy systems, complemented by assumed urban charging
infrastructure in major city terminals. This research provides a replicable, datadriven
framework for EVCS planning in emerging regions. It serves as a
decision-support tool for policymakers, energy planners, and private-sector
stakeholders seeking to accelerate electric vehicle adoption in the Philippines.
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