Development of Optimal Investment Strategies for Electric Vehicle Charging Stations with a Novel Decision-Making Technique
DOI:
https://doi.org/10.31181/jopi31202534Keywords:
Electric vehicle, Charging, Investment, Decision-makingAbstract
Electric vehicles (EV) have become widespread especially in recent years. However, the infrastructure required for charging these vehicles is inadequate and the necessary investment strategies need to be determined for the effective establishment of this infrastructure. Electric vehicle charging stations are a fundamental component of sustainable transportation systems. However, in parallel with the increasing EV demand, determining appropriate investment strategies to support the installation of these stations is a critical need. This study aims to reveal optimal investment strategies for the efficient establishment of electric vehicle charging stations. This study aims to identify the optimal investment strategies for the effective establishment of EV charging stations. Hence, it addresses the growing demand for sustainable and environmentally friendly transportation solutions. With the increasing adoption of electric vehicles, the development of an efficient EV charging infrastructure becomes critical. Thus, it is intended to determine the most suitable strategies for building efficient charging station infrastructures. The motivation for this research arises from the necessity to strengthen the existing charging infrastructure in response to the rising number of electric vehicles and the need for sustainable transport solutions. Electric vehicle charging stations are vital components of sustainable mobility, making it essential to evaluate the investment strategies that will enable their successful establishment and operation. To achieve the study’s goal, a detailed analysis has been conducted using the decision-making trial and evaluation laboratory (DEMATEL) technique. The findings from this analysis emphasize that technological improvement is the most crucial factor in enhancing the performance of EV charging infrastructure projects. Technological advancements such as faster charging technologies, greater energy efficiency, and better user interfaces are paramount to ensuring the success of these projects. In addition to technological improvements, financial performance and legal effectiveness also play significant roles in the efficient establishment of EV charging stations. These factors directly impact the feasibility and long-term sustainability of the projects. On the other hand, customer expectations, although important, are found to have the least weight in this regard. In conclusion, this study underscores the importance of focusing on technological advancements, alongside financial and legal factors, to effectively drive the establishment of these stations.
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Waseem, M., Lakshmi, G. S., Ahmad, M., & Suhaib, M. (2025). Energy storage technology and its impact in electric vehicle: Current progress and future outlook. Next Energy, 6, 100202. https://doi.org/10.1016/j.nxener.2024.100202
Kioumarsi, K., & Bolurian, A. (2025). Optimal energy management for electric vehicle charging parking lots with considering renewable energy resources and accurate battery characteristic modeling. Journal of Energy Storage, 107, 114914. https://doi.org/10.1016/j.est.2024.114914
Moradi, N., & Boroujeni, N. M. (2025). Prize-collecting Electric Vehicle routing model for parcel delivery problem. Expert Systems with Applications, 259, 125183. https://doi.org/10.1016/j.eswa.2024.125183
Pan, W., & Shittu, E. (2025). Assessment of mobility decarbonization with carbon tax policies and electric vehicle incentives in the US. Applied Energy, 379, 124838. https://doi.org/10.1016/j.apenergy.2024.124838
Christensen, K., Ma, Z. G., & Jørgensen, B. N. (2025). A scoping review on electric vehicle charging strategies with a technical, social, and regulatory feasibility evaluation. Renewable and Sustainable Energy Reviews, 211, 115300. https://doi.org/10.1016/j.rser.2024.115300
Quinteros-Condoretty, A. R., Laukkanen, M., Kainiemi, L., Pinto, S. M., Lourenço, E. J., Oliveira, L., ... & Barbiellini, B. (2025). Conceptual model for extending electric vehicle battery lifetime. Resources, Conservation and Recycling, 212, 107943. https://doi.org/10.1016/j.resconrec.2024.107943
Samawi, G. A., Bwaliez, O. M., Jreissat, M., & Kandas, A. (2025). Advancing Sustainable Development in Jordan: A Business and Economic Analysis of Electric Vehicle Adoption in the Transportation Sector. World Electric Vehicle Journal, 16(1), 45. https://doi.org/10.3390/wevj16010045
Qiao, J., Wang, Y., Wang, H., Li, X., Wang, Y., Wang, Y., & Zhang, H. (2025). Impact of ventilation strategies on the evolution of electric vehicle fire characteristics in ships. Ocean Engineering, 317, 120080. https://doi.org/10.1016/j.oceaneng.2024.120080
Wang, W., Tang, A., Wei, F., Yang, H., Xinran, L., & Peng, J. (2025). Electric vehicle charging load forecasting considering weather impact. Applied Energy, 383, 125337. https://doi.org/10.1016/j.apenergy.2025.125337
Soliman, I. A., Tulsky, V., Abd el-Ghany, H. A., & ElGebaly, A. E. (2025). Efficient allocation of capacitors and vehicle-to-grid integration with electric vehicle charging stations in radial distribution networks. Applied Energy, 377, 124745. https://doi.org/10.1016/j.apenergy.2024.124745
Sithambaram, M., Rajesh, P., Shajin, F. H., & Rajeswari, I. R. (2025). Grid connected photovoltaic system powered electric vehicle charging station for energy management using hybrid method. Journal of Energy Storage, 108, 114828. https://doi.org/10.1016/j.est.2024.114828
Stefan, I., & Chirumalla, K. (2025). Enabling value retention in circular ecosystems for the second life of electric vehicle batteries. Resources, Conservation and Recycling, 212, 107942. https://doi.org/10.1016/j.resconrec.2024.107942
Yu, G., Ye, X., Gong, D., & Xia, X. (2025). Stochastic planning for transition from shopping mall parking lots to electric vehicle charging stations. Applied Energy, 379, 124894. https://doi.org/10.1016/j.apenergy.2024.124894
Chen, X., Wang, H., Zheng, Z., & Lu, F. (2025). Electro-thermal analysis of inductively coupled power transfer in pavement for electric vehicle charging. Applied Energy, 378, 124809. https://doi.org/10.1016/j.apenergy.2024.124809
Kou, G., Eti, S., Yüksel, S., Dinçer, H., Ergün, E., & Gökalp, Y. (2025). Innovative solution suggestions for financing electric vehicle charging infrastructure investments with a novel artificial intelligence-based fuzzy decision-making modelling. Artificial Intelligence Review, 58(1), 1-32. https://doi.org/10.1007/s10462-024-11012-w
Nagarajan, K., Rajagopalan, A., Bajaj, M., Raju, V., & Blazek, V. (2025). Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems. Results in Engineering, 25, 103671. https://doi.org/10.1016/j.rineng.2024.103671
Wu, Y., Gu, W., Huang, S., Wei, X., & Safaraliev, M. (2025). A four-layer business model for integration of electric vehicle charging stations and hydrogen fuelling stations into modern power systems. Applied Energy, 377, 124630. https://doi.org/10.1016/j.apenergy.2024.124630
Gauer, V. H., Axsen, J., Long, Z., & Dütschke, E. (2025). The association between automobility engagement and electric vehicle preferences among car buyers. Transportation Research Part D: Transport and Environment, 140, 104596. https://doi.org/10.1016/j.trd.2025.104596
Lu, W. M., Chou, C. H., Ting, I. W. K., & Liu, S. M. (2025). A New Integrated Approach for Evaluating Sustainable Development in the Electric Vehicle Sector. Omega, 133, 103247. https://doi.org/10.1016/j.omega.2024.103247
Atazadegan, M. H., Moosanezhad, J., Chyad, M. H., Shami, H. O., & Zhang, J. (2025). A novel analytical method for optimal management of network congestion caused by electric vehicle charging stations. Electric Power Systems Research, 239, 111203. https://doi.org/10.1016/j.epsr.2024.111203
Yüksel, S., Ecer, F., Krishankumar, R., Dinçer, H., & Gökalp, Y. (2025). TRIZ-driven assessment of sector-wise investment decisions in renewable energy projects through a novel integrated q-ROF-DEMATEL-SRP model. Energy, 314, 133970. https://doi.org/10.1016/j.energy.2024.133970
Dinçer, H., Krishankumar, R., Yüksel, S., & Ecer, F. (2025). Evaluating smart grid investment drivers and creating effective policies via a fuzzy multi-criteria approach. Renewable and Sustainable Energy Reviews, 208, 115052. https://doi.org/10.1016/j.rser.2024.115052
Rahadian, D., Firli, A., Dinçer, H., Yüksel, S., & Mikhaylov, A. (2025). Analysing the financial innovation-based characteristics of stock market efficiency using fuzzy decision-making technique. Financial Innovation, 11(1), 43. https://doi.org/10.1186/s40854-024-00716-1
Yüksel, S., & Dinçer, H. (2025). A decision-making framework for the development of molten-salt reactors: prioritizing environmental and technological factors. Journal of Soft Computing and Decision Analytics, 3(1), 18-25. https://doi.org/10.31181/jscda31202547
Eti, S., Dinçer, H., Yüksel, S., & Gökalp, Y. (2025). A new fuzzy decision-making model for enhancing electric vehicle charging infrastructure. Spectrum of Decision Making and Applications, 2(1), 94-99. https://doi.org/10.31181/sdmap21202513
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