20.500.12556/RUL-182718 A GIS MILP framework for electric vehicle charging station placement and optimization a case study in Eindhoven, Netherlands Electric vehicle charging station planning requires decisions that account not only for spatial accessibility, but also for investment costs, charging demand, renewable energy availability, grid energy use, and storage requirements. Existing EV charging station location studies often address these components separately, limiting their ability to evaluate trade-offs between spatial suitability and system-level operation. This study develops an integrated GIS-MILP framework for electric vehicle charging station planning. The framework combines GIS-based spatial suitability analysis with a multi-objective mixed-integer linear programming model to optimize charging station location, energy flows, travel time, investment costs, grid energy use, battery storage, and vehicle-to-grid interactions. The approach is applied to Eindhoven, the Netherlands, using spatial indicators, seasonal solar generation profiles, charging demand, candidate locations, and infrastructure cost parameters. Results show that integrating spatial suitability with operational optimization supports the identification of accessible charging station locations while accounting for renewable variability, storage capacity, and grid energy requirements. The inclusion of PV, battery storage, and V2G enables the model to evaluate how local renewable generation and bidirectional energy flows may contribute to charging infrastructure planning, although their contribution depends on modeled assumptions and system conditions. The proposed framework provides a transferable decision-support approach for cities seeking to plan EV charging infrastructure under spatial, economic, and energy-system constraints. spatial decision support multi-objective optimization vehicle-to-grid battery energy storage systems renewable integration urban energy planning sustainable mobility prostorska podpora odločanju urbano energetsko načrtovanje večkriterijska optimizacija V2G baterijski sistemi za shranjevanje energije integracija obnovljivih virov energije trajnostna mobilnost true false true Angleški jezik Slovenski jezik Članek v reviji 2026-05-21 11:16:02 2026-05-21 11:16:13 2026-05-22 04:49:55 0000-00-00 00:00:00 2026 0 0 16 str. Vol. 128, art. 102457 Sep. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.313.2:502.131.1(492) 1873-7587 10.1016/j.compenvurbsys.2026.102457 278905347 Katontoka...-A_GIS_MILP_framework_for_electric_vehicle_charging_station_placement_and_optimization.pdf Katontoka...-A_GIS_MILP_framework_for_electric_vehicle_charging_station_placement_and_optimization.pdf 1 06110CB0846568DF0DF5A43A070D5668 5ba327cf0c3cf2a199831c5bcb0a0e79e36a8945fc15e8edf1749ab3dcea5c13 03185865-54f6-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234218 https://www.sciencedirect.com/science/article/pii/S0198971526000591 1 65c7edc6-54f5-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234216 Fakulteta za gradbeništvo in geodezijo 0 0 0