Retrieved from Vol. 29, No. 1, 2025
Pages 133 -140
Received 19.02.2025
Revised 22.04.2025
Accepted 28.06.2025
Retrieved from Vol. 29, No. 1, 2025
Pages 133 -140
Abstract
The article addresses the problem of optimizing the location of charging stations for electric buses in urban environments. The growing number of electric buses in public transport requires not only energyefficient charging devices but also strategic infrastructure planning. It is identified that the placement of charging stations is the key factor affecting energy optimization, service reliability, economic feasibility, and the environmental benefits of transitioning to electric transport. The study provides an overview of modern planning methods for charging infrastructure, including system dynamics, integration with renewable energy sources, smart charging technologies, and multi-criteria analysis. Particular attention is given to the application of Geographic Information Systems (GIS), which allow a comprehensive assessment of population density, passenger flows, grid capacity, and urban development plans. Algorithmic and mathematical approaches (linear and stochastic programming, heuristic methods) are also discussed as tools for more accurate demand forecasting and system adaptation to changing conditions. It is demonstrated that optimal station placement directly impacts the economic efficiency of electric bus deployment. Benefits include reduced infrastructure investment, lower electricity and maintenance costs, higher profitability for operators, and faster project payback. Furthermore, optimization contributes to environmental advantages such as CO₂ emission reduction, noise decrease, and improved urban quality of life. he results highlight that the problem of charging infrastructure placement is interdisciplinary and highly relevant to modern urban transport. It is recommended to integrate GIS analysis, energy modeling, and economic evaluation into urban planning practices to ensure sustainable transport system development
Keywords:
electric bus; charging infrastructure; geoinformation systems; urban transport; energy efficiency