Exploring the Evolution of Electric Vehicle Charging Infrastructure: A Bibliometric Perspective on Public Electric Vehicle Charging Station Location Planning
DOI:
https://doi.org/10.57152/malcom.v6i1.2375Keywords:
Bibliometric Analysis, Decentralization, Electric Vehicle, Spatial Equity, Sustainable Regional DevelopmentAbstract
The rapid expansion of electric vehicles (EVs) is a crucial factor in achieving low-carbon mobility and promoting sustainable regional development. The attainment of this objective depends on technological advancement, institutional readiness, spatial equity, and governance capabilities. The establishment of Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) in Indonesia must be understood within a framework that connects infrastructure planning to social, economic, and political factors. This research analyzes the evolution of international scientific dialogue regarding EV charging infrastructure through a bibliometric lens, focusing on publications from 2010 to 2025. This study utilizes Scopus data and analytical tools, including VOSviewer and Publish or Perish, to identify leading authors, key journals, and emerging subject trends. The results suggest that future SPKLU planning in Indonesia requires an integrated framework that aligns technological precision with public governance principles. This approach should account for decentralization dynamics, regional disparities, and institutional capacity, ensuring that improvements to EV infrastructure contribute to carbon-reduction goals while fostering equitable and sustainable regional development.
Downloads
References
D. Sun, F. Kyere, A. K. Sampene, D. Asante, dan N. Y. G. Kumah, “An investigation on the role of electric vehicles in alleviating environmental pollution: evidence from five leading economies,” Environ. Sci. Pollut. Res., vol. 30, no. 7, hal. 18244–18259, 2023, doi: 10.1007/s11356-022-23386-x.
H. Jiang, H. Xu, Q. Liu, L. Ma, dan J. Song, “An urban planning perspective on enhancing electric vehicle (EV) adoption: Evidence from Beijing,” Travel Behav. Soc., vol. 34, hal. 100712, 2024.
Z. Wang, “Research on application of electric vehicles in urban transportation systems for greenhouse gas reduction,” Highlights Sci. Eng. Technol., vol. 121, hal. 432–439, 2024, doi: 10.54097/tafm0554.
J. Li, A. Chew, dan H. Wang, “Investigating state-of-the-art planning strategies for electric vehicle charging infrastructures in coupled transport and power networks: a comprehensive review,” Prog. Energy, vol. 6, no. 4, 2024, doi: 10.1088/2516-1083/ad6be1.
V. Bhola, “Fast Lane to Electric Mobility: Exploring Electric Vehicle Fast Charging Infrastructure,” 2024, hal. 800–806. doi: 10.62919/mtsg4544.
K. Wahyudi, “Implementasi Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) Sebagai Infrastruktur Penunjang Electrical Vehicle dalam Mendukung Net Zero Emission,” J. Tek. Ind., vol. 2, 2024, doi: 10.30872/jatri.v2i2.1491.
X. Liu, “Research on Function Optimization of Electric Vehicle Charging Stations Based on User Demand Analysis: An Empirical Study Using the Kano Model and AHP Method,” Sustain., vol. 16, no. 23, 2024, doi: 10.3390/su162310783.
S. Hamdare, O. Kaiwartya, M. Jugran, D. Brown, dan P. Vyas, “Analysis of EV Charging Infrastructure and its impact on Public Adoption: Examining the Critical Role of Charging Stations in the Acceleration of Electric Vehicle Market Growth,” in Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, in PETRA ’23. New York, NY, USA: Association for Computing Machinery, 2023, hal. 550–556. doi: 10.1145/3594806.3596586.
P. Prakobkaew dan S. Sirisumrannukul, “Optimal locating and sizing of charging stations for large?scale areas based on GIS data and grid partitioning,” IET Gener. Transm. Distrib., vol. 18, no. 6, hal. 1235–1254, 2024.
Y. Zhang, Q. Zhang, A. Farnoosh, S. Chen, dan Y. Li, “GIS-based multi-objective particle swarm optimization of charging stations for electric vehicles,” Energy, vol. 169, hal. 844–853, 2019.
A. Almaghrebi, K. James, F. Aljuheshi, dan M. Alahmad, “Insights into Household Electric Vehicle Charging Behavior: Analysis and Predictive Modeling,” Energies, vol. 17, hal. 925, Feb 2024, doi: 10.3390/en17040925.
L. Yan dan W. Zhiping, “Mapping the literature on academic publishing: A bibliometric analysis on WOS,” Sage Open, vol. 13, no. 1, hal. 21582440231158560, 2023.
M. Aria dan C. Cuccurullo, “bibliometrix: An R-tool for comprehensive science mapping analysis,” J. Informetr., vol. 11, no. 4, hal. 959–975, 2017, doi: https://doi.org/10.1016/j.joi.2017.08.007.
N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, dan W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, hal. 285–296, 2021, doi: https://doi.org/10.1016/j.jbusres.2021.04.070.
A. Mongeon, P.; Paul-Hus, “The journal coverage of Web of Science and Scopus: a comparative analysis,” Scientometrics, vol. 106, no. 1, hal. 213–228, 2016, doi: https://doi.org/10.1007/s11192-015-1765-5.
O. Öztürk, R. Kocaman, dan D. K. Kanbach, “How to design bibliometric research: an overview and a framework proposal,” Rev. Manag. Sci., vol. 18, no. 11, hal. 3333–3361, 2024, doi: 10.1007/s11846-024-00738-0.
K. Al Momin, A. M. Sadri, K. K. Muraleetharan, R. Campos, dan P. S. Harvey, “Application of multi-criteria decision analysis for optimal siting of electric vehicle charging stations in Oklahoma,” Transp. Eng., vol. 20, no. November 2024, hal. 100325, 2025, doi: 10.1016/j.treng.2025.100325.
X. D. Feng, Jianzhou, Zechun Hu, “EV Fast Charging Station Planning Considering Competition Based on Stochastic Dynamic Equilibrium,” IEEE Trans. Ind. Appl., vol. 59, no. 3, hal. 3795–3809, 2023, doi: 10.1109/TIA.2023.3235343.
Y.-H. K. Sylvia Y. He dan D. Wu, “Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China,” Transp. Res. Part C Emerg. Technol., vol. 67, hal. 131–148, 2016, doi: https://doi.org/10.1016/j.trc.2016.02.003.
W. E. Chumbi, R. Martínez-Minga, S. Zambrano-Asanza, J. B. Leite, dan J. F. Franco, “Suitable Site Selection of Public Charging Stations: A Fuzzy TOPSIS MCDA Framework on Capacity Substation Assessment,” Energies, vol. 17, no. 14, hal. 1–27, 2024, doi: 10.3390/en17143452.
L. L. Duan, Xiaoyu, Zechun Hu, Yonghua Song, Kai Strunz, Yan Cui, “Planning Strategy for an Electric Vehicle Fast Charging Service Provider in a Competitive Environment,” IEEE Trans. Transp. Electrif., vol. 8, no. 3, hal. 3056–3067, 22M, doi: 10.1109/TTE.2022.3152387.
S. A. Dharangaonkar, Sarika K.; Patil, “Planning of Electric Vehicle Charging Infrastructure: A Review and a Conceptual Framework Based on Spatial and Predictive Analysis.,” nternational J. Sustain. Dev. Planning, vol. 20, no. 6, doi: 10.18280/ijsdp.200605.
Y. J. Y. Z. X. C. Z. Wu, “Synergistic Strategy for Electric Vehicle Charging Infrastructure Planning and Energy Management Based on Multi-Objective Optimization,” nternational Symp. Adv. Electr. Electron. Comput. Eng., hal. 68–72, 2025, doi: doi: 10.1109/ISAEECE66033.2025.11159970.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Hanna Notopramono, Mohammad Isa Irawan

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright © by Author; Published by Institut Riset dan Publikasi Indonesia (IRPI)
This Indonesian Journal of Machine Learning and Computer Science is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

















