Vol. 11 No. 2 (2023): Business & Management Studies: An International Journal
Articles

A bibliometric analysis and research agenda of the location of electric vehicle charging stations

PDF
  • Ahmed İhsan Şimşek,
  • Beste Desticioğlu Taşdemir,
  • Erdinç Koç
Ahmed İhsan Şimşek
Dr., Fırat University, Elazığ, Turkey
Beste Desticioğlu Taşdemir
Asst. Prof. Dr., National Defense University, Ankara, Turkey
Bio
Erdinç Koç
Assoc. Prof. Dr., Bingöl University, Bingöl, Turkey
Bio
DOI: https://doi.org/10.15295/bmij.v11i2.2246

Published 2023-06-26

Keywords

  • Elektrikli Araçlar Şarj İstasyonu, Bibliyometrik Literatür Taraması, Konumlandırma, Şarj İstasyonları, Sürdürülebilirlik
  • Electric Vehicles Charging Station, Bibliometric Literature Review, Location, Charging Stations, Sustainability

How to Cite

Şimşek, A. İhsan, Desticioğlu Taşdemir, B., & Koç, E. (2023). A bibliometric analysis and research agenda of the location of electric vehicle charging stations. Business & Management Studies: An International Journal, 11(2), 610–625. https://doi.org/10.15295/bmij.v11i2.2246

Copyright (c) 2023 Ahmed İhsan Şimşek- Beste Desticioğlu Taşdemir- Erdinç Koç

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

Developing technology and population growth increase energy demand. The limited natural resources and their negative environmental effects increase the interest in alternative energy sources. The decrease in oil resources and the environmental problems caused by these resources have increased the studies for electric vehicles. This study presents descriptive statistics on the charging station locations for electric vehicles and relationships between studies by author, country, citation, and occurrence. This will provide a way for researchers to obtain detailed information about their studies into the locations of electric vehicle charging stations. This study examined 212 studies in the “Web of Science” database from 2011 to 2022. Network analysis was conducted in this research using the Vosviewer and R software. In this context, descriptive statistics are first provided. In the section on descriptive statistics, basic facts about the studies are shown along with the annual scientific output, the most productive countries, the total number of citations per country, country collaboration, the most productive countries and authors, and the total number of citations per country. Since the second half of 2010, there has been an increasing trend in the number of publications on the positioning of electric vehicle charging stations. It is seen that most of the studies on the positioning of electric vehicle charging stations were also carried out in China, India and the USA. The analyses of document co-occurrence, bibliographic coupling, and co-citation are presented in the second section. It has been observed that the most frequently used keywords in studies related to the location of electric vehicle charging stations are optimization, sustainability and distribution systems.

 

PDF

Downloads

Download data is not yet available.

References

  1. Ahmad, F., Iqbal, A., Ashraf, I., & Marzband, M. (2022). Optimal location of electric vehicle charging station and its impact on distribution network: A review. Energy Reports, 8, 2314-2333.
  2. Afshar, S., Macedo, P., Mohamed, F., & Disfani, V. (2021). Mobile charging stations for electric vehicles — A review. Renewable and Sustainable Energy Reviews, 152(September), 111654. https://doi.org/10.1016/j.rser.2021.111654
  3. An, Y., Gao, Y., Wu, N., Zhu, J., Li, H., & Yang, J. (2023). Optimal scheduling of electric vehicle charging operations considering real-time traffic condition and travel distance. Expert Systems with Applications, 213(PB), 118941. https://doi.org/10.1016/j.eswa.2022.118941
  4. Araújo, C. C. S. de, Pedron, C. D., & Picoto, W. N. (2018). What’s Behind CRM Research? A Bibliometric Analysis of Publications in the CRM Research Field. Journal of Relationship Marketing, 17(1), 29–51. https://doi.org/10.1080/15332667.2018.1440139
  5. Ardito, L., Scuotto, V., Del Giudice, M., & Petruzzelli, A. M. (2018). A bibliometric analysis of research on Big Data analytics for business and management. Big Data Analytics, 57(8), 1993-2009.
  6. Awasthi, A., Venkitusamy, K., Padmanaban, S., Selvamuthukumaran, R., Blaabjerg, F., & Singh, A. K. (2017). Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm. Energy, 133, 70-78.
  7. Baouche, F., Billot, R., Trigui, R., & El Faouzi, N. E. (2014). Efficient allocation of electric vehicles charging stations: Optimization model and application to a dense urban network. IEEE Intelligent transportation systems magazine, 6(3), 33-43.
  8. Biancone, P. pietro, Saiti, B., Petricean, D., & Chmet, F. (2020). The bibliometric analysis of Islamic banking and finance. Journal of Islamic Accounting and Business Research, 11(9), 2069–2086. https://doi.org/10.1108/JIABR-08-2020-0235
  9. Boyack, K. W., & Klavans, R. (2010). Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?. Journal of the American Society for information Science and Technology, 61(12), 2389-2404.
  10. Carra, M., Maternini, G., & Barabino, B. (2022). On sustainable positioning of electric vehicle charging stations in cities: An integrated approach for the selection of indicators. Sustainable Cities and Society, 85(April), 104067. https://doi.org/10.1016/j.scs.2022.104067
  11. Chawla, R. N., & Goyal, P. (2022). Emerging trends in digital transformation: a bibliometric analysis. Benchmarking, 29(4), 1069–1112. https://doi.org/10.1108/BIJ-01-2021-0009
  12. Chen, T. D., Kockelman, K. M., & Khan, M. (2013). Locating electric vehicle charging stations: Parking-based assignment method for Seattle, Washington. Transportation research record, 2385(1), 28-36.
  13. Chung, S. H., & Kwon, C. (2015). Multi-period planning for electric car charging station locations: A case of Korean Expressways. European Journal of Operational Research, 242(2), 677-687.
  14. Dervis, H. (2019). Bibliometric analysis using bibliometrix an R package. Journal of Scientometric Research, 8(3), 156–160. https://doi.org/10.5530/JSCIRES.8.3.32
  15. Dong, J., Liu, C., & Lin, Z. (2014). Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data. Transportation Research Part C: Emerging Technologies, 38, 44-55.
  16. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  17. El-Hawary, M. E. (2014). The smart grid—state-of-the-art and future trends. Electric Power Components and Systems, 42(3-4), 239-250.
  18. Erbaş, M., Kabak, M., Özceylan, E., & Çetinkaya, C. (2018). Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis. Energy, 163, 1017-1031.
  19. Foroudi, P., Akarsu, T. N., Marvi, R., & Balakrishnan, J. (2021). Intellectual evolution of social innovation: A bibliometric analysis and avenues for future research trends. Industrial Marketing Management, 93, 446-465.
  20. Frade, I., Ribeiro, A., Gonçalves, G., & Antunes, A. P. (2011). Optimal location of charging stations for electric vehicles in a neighborhood in Lisbon, Portugal. Transportation Research Record, 2252(1), 91-98.
  21. Gao, P., Meng, F., Mata, M. N., Martins, J. M., Iqbal, S., Correia, A. B., Dantas, R. M., Waheed, A., Xavier Rita, J., & Farrukh, M. (2021). Trends and future research in electronic marketing: A bibliometric analysis of twenty years. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1667–1679. https://doi.org/10.3390/jtaer16050094
  22. Groos, O. v., & Pritchard, A. (1969). Documentation notes. In Journal of Documentation (Vol. 25, Issue 4, pp. 344–349). https://doi.org/10.1108/eb026482
  23. Guo, S., & Zhao, H. (2015). Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective. Applied Energy, 158, 390-402.
  24. Hagman, J., & Stier, J. J. (2022). Selling electric vehicles: Experiences from vehicle salespeople in Sweden. Research in Transportation Business and Management, 45(PC), 100882. https://doi.org/10.1016/j.rtbm.2022.100882
  25. Han, J., Kang, H. J., Kim, M., & Kwon, G. H. (2020). Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). In Journal of Biomedical Informatics (Vol. 109). Academic Press Inc. https://doi.org/10.1016/j.jbi.2020.103516
  26. Hao, H., Cheng, X., Liu, Z., & Zhao, F. (2017). Electric vehicles for greenhouse gas reduction in China: A cost-effectiveness analysis. Transportation Research Part D: Transport and Environment, 56, 68–84. https://doi.org/10.1016/j.trd.2017.07.025
  27. He, Y., Venkatesh, B., & Guan, L. (2012). Optimal scheduling for charging and discharging of electric vehicles. IEEE transactions on smart grid, 3(3), 1095-1105.
  28. Hensley, R., & Knupfer, S. (2018). Charging Ahead: Electric- Vehicle Infrastructure Demand (Issue 1).
  29. Herubel, J.-P. V. M. (1999). Historical Bibliometrics: Its Purpose and Significance to the History of Disciplines. Libraries & Culture, 34(4), 380–388.
  30. Hosseini, S., & Sarder, M. D. (2019). Development of a Bayesian network model for optimal site selection of electric vehicle charging station. International Journal of Electrical Power & Energy Systems, 105, 110-122.
  31. Huang, J., Mao, L. X., Liu, H. C., & Song, M. shun. (2022). Quality function deployment improvement: A bibliometric analysis and literature review. Quality and Quantity, 56(3), 1347–1366. https://doi.org/10.1007/s11135-021-01179-7
  32. IEA. (2022). Global EV Outlook 2022 - Securing supplies for an electric future. In Global EV Outlook 2022.
  33. Islam, M. M., Shareef, H., & Mohamed, A. (2015). A review of techniques for optimal placement and sizing of electric vehicle charging stations. Elect. Review, 91(8), 122-126.
  34. Jordán, J., Palanca, J., Martí, P., & Julian, V. (2022). Electric vehicle charging stations emplacement using genetic algorithms and agent-based simulation. Expert Systems with Applications, 197(March), 116739. https://doi.org/10.1016/j.eswa.2022.116739
  35. Kizhakkan, A. R., Rathore, A. K., & Awasthi, A. (2019). Review of electric vehicle charging station location planning. In 2019 IEEE Transportation Electrification Conference (ITEC-India), 1-5.
  36. Kocak, M., García-Zorita, C., Marugán-Lázaro, S., Çakır, M. P., & Sanz-Casado, E. (2019). Mapping and clustering analysis on neuroscience literature in Turkey: a bibliometric analysis from 2000 to 2017. Scientometrics, 121(3), 1339–1366. https://doi.org/10.1007/s11192-019-03259-w
  37. Koç, E., & Şimşek, A. İ. (2021). A Bibliometric Analysis of Green Productivity Concept. The Journal of Business Science, 9(3), 393–418. https://doi.org/10.22139/jobs
  38. Kore, H. H., & Koul, S. (2022). Electric vehicle charging infrastructure: positioning in India. Management of Environmental Quality: An International Journal, 33(3), 776–799. https://doi.org/10.1108/MEQ-10-2021-0234
  39. Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45.
  40. Liu, Z., Wen, F., & Ledwich, G. (2012). Optimal planning of electric-vehicle charging stations in distribution systems. IEEE transactions on power delivery, 28(1), 102-110.
  41. Luis, E. C., & Celma, D. (2020). Circular economy. A review and bibliometric analysis. Sustainability (Switzerland), 12(16). https://doi.org/10.3390/SU12166381
  42. Mak, H.-Y., Rong, Y., & Shen, Z.-J. M. (2013). Infrastructure Planning for Electric Vehicles with Battery Swapping. Management Science, 59(7), 1557–1575. http://www.jstor.org/stable/23443870
  43. Mastoi, M. S., Zhuang, S., Munir, H. M., Haris, M., Hassan, M., Usman, M., Bukhari, S. S. H., & Ro, J. S. (2022). An in-depth analysis of electric vehicle charging station infrastructure, policy implications, and future trends. Energy Reports, 8, 11504–11529. https://doi.org/10.1016/j.egyr.2022.09.011
  44. Mehrjerdi, H. (2020). Dynamic and multi-stage capacity expansion planning in microgrid integrated with electric vehicle charging station. Journal of Energy Storage, 29(March), 101351. https://doi.org/10.1016/j.est.2020.101351
  45. Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega (United Kingdom), 73, 37–48. https://doi.org/10.1016/j.omega.2016.12.004
  46. Nagariya, R., Kumar, D., & Kumar, I. (2021). Service supply chain: from bibliometric analysis to content analysis, current research trends and future research directions. Benchmarking, 28(1), 333–369. https://doi.org/10.1108/BIJ-04-2020-0137
  47. Narasipuram, R. P., & Mopidevi, S. (2021). A technological overview & design considerations for developing electric vehicle charging stations. Journal of Energy Storage, 43(June), 103225. https://doi.org/10.1016/j.est.2021.103225
  48. Nettle, D., & Frankenhuis, W. E. (2019). The evolution of life-history theory: a bibliometric analysis of an interdisciplinary research area. Proceedings. Biological Sciences, 286(1899), 20190040. https://doi.org/10.1098/rspb.2019.0040
  49. Pashajavid, E., & Golkar, M. A. (2013). Optimal placement and sizing of plug in electric vehicles charging stations within distribution networks with high penetration of photovoltaic panels. Journal of Renewable and Sustainable Energy, 5(5), 053126.
  50. Requia, W. J., Mohamed, M., Higgins, C. D., Arain, A., & Ferguson, M. (2018). How clean are electric vehicles? Evidence-based review of the effects of electric mobility on air pollutants, greenhouse gas emissions and human health. In Atmospheric Environment (Vol. 185, pp. 64–77). Elsevier Ltd. https://doi.org/10.1016/j.atmosenv.2018.04.040
  51. Ruiz-Real, J. L., Uribe-Toril, J., Valenciano, J. D. P., & Gázquez-Abad, J. C. (2018). Worldwide research on circular economy and environment: A bibliometric analysis. International Journal of Environmental Research and Public Health, 15(12). https://doi.org/10.3390/ijerph15122699
  52. Sadeghi-Barzani, P., Rajabi-Ghahnavieh, A., & Kazemi-Karegar, H. (2014). Optimal fast charging station placing and sizing. Applied Energy, 125, 289-299.
  53. Sathaye, N., & Kelley, S. (2013). An approach for the optimal planning of electric vehicle infrastructure for highway corridors. Transportation Research Part E: Logistics and Transportation Review, 59, 15-33.
  54. Sharifi, A. (2021). Urban sustainability assessment: An overview and bibliometric analysis. In Ecological Indicators (Vol. 121). Elsevier B.V. https://doi.org/10.1016/j.ecolind.2020.107102
  55. Shekhar, Gupta, A., & Valeri, M. (2021). Mapping research on family business in tourism and hospitality: a bibliometric analysis. Journal of Family Business Management, 12(3), 367–392. https://doi.org/10.1108/JFBM-10-2021-0121
  56. Srivastava, M., & Sivaramakrishnan, S. (2022). A bibliometric analysis of the structure and trends of customer engagement in the context of international marketing. International Marketing Review, 39(4), 836–851. https://doi.org/10.1108/IMR-06-2021-0204
  57. Su, X., Li, X., & Kang, Y. (2019). A Bibliometric Analysis of Research on Intangible Cultural Heritage Using CiteSpace. In SAGE Open (Vol. 9, Issue 2). SAGE Publications Inc. https://doi.org/10.1177/2158244019840119
  58. Tutak, M., & Brodny, J. (2022). Renewable energy consumption in economic sectors in the EU-27. The impact on economics, environment and conventional energy sources. A 20-year perspective. Journal of Cleaner Production, 345. https://doi.org/10.1016/j.jclepro.2022.131076
  59. Vallaster, C., Kraus, S., Lindahl, J. M. M., & Nielsen, A. (2019). Ethics and entrepreneurship: A bibliometric study and literature review. Journal of Business Research, 99, 226-237.
  60. Wang, G., Xu, Z., Wen, F., & Wong, K. P. (2013). Traffic-constrained multi-objective planning of electric-vehicle charging stations. IEEE Transactions on Power Delivery, 28(4), 2363-2372.
  61. Wang, Q., & Su, M. (2020). Integrating blockchain technology into the energy sector - From theory of blockchain to research and application of energy blockchain. In Computer Science Review (Vol. 37). Elsevier Ireland Ltd. https://doi.org/10.1016/j.cosrev.2020.100275
  62. Wang, Y., Lai, N., Zuo, J., Chen, G., & Du, H. (2016). Characteristics and trends of research on waste-to-energy incineration: A bibliometric analysis, 1999–2015. Renewable and Sustainable Energy Reviews, 66, 95–104. https://doi.org/10.1016/j.rser.2016.07.006
  63. Xi, X., Sioshansi, R., & Marano, V. (2013). Simulation–optimization model for location of a public electric vehicle charging infrastructure. Transportation Research Part D: Transport and Environment, 22, 60-69.
  64. Xu, J., Zhong, L., Yao, L., & Wu, Z. (2018). An interval type-2 fuzzy analysis towards electric vehicle charging station allocation from a sustainable perspective. Sustainable Cities and Society, 40(August 2017), 335–351. https://doi.org/10.1016/j.scs.2017.12.010
  65. Yao, W., Zhao, J., Wen, F., Dong, Z., Xue, Y., Xu, Y., & Meng, K. (2014). A multi-objective collaborative planning strategy for integrated power distribution and electric vehicle charging systems. IEEE Transactions on Power Systems, 29(4), 1811-1821.
  66. You, P. S., & Hsieh, Y. C. (2014). A hybrid heuristic approach to the problem of the location of vehicle charging stations. Computers & Industrial Engineering, 70, 195-204.
  67. Yu, Z., & Li, M. (2022). A bibliometric analysis of Community of Inquiry in online learning contexts over twenty-five years. Education and Information Technologies, 27(8), 11669–11688. https://doi.org/10.1007/s10639-022-11081-w
  68. Yu, Z., Wu, Z., Li, Q., & Bai, Q. (2022). A map matching-based method for electric vehicle charging station placement at directional road segment level. Sustainable Cities and Society, 84(May), 103987. https://doi.org/10.1016/j.scs.2022.103987
  69. Zhang, J., Wang, Z., Miller, E. J., Cui, D., Liu, P., & Zhang, Z. (2023). Charging demand prediction in Beijing based on real-world electric vehicle data. Journal of Energy Storage, 57(5), 106294. https://doi.org/10.1016/j.est.2022.106294
  70. Zhang, Y., Liu, X., Zhang, T., & Gu, Z. (2019). Review of the electric vehicle charging station location problem. In Dependability in Sensor, Cloud, and Big Data Systems and Applications: 5th International Conference, DependSys 2019, Guangzhou, China, November 12–15, 2019, Proceedings 5 (pp. 435-445). Springer Singapore.
  71. Zhao, H., & Li, N. (2016). Optimal siting of charging stations for electric vehicles based on fuzzy Delphi and hybrid multi-criteria decision making approaches from an extended sustainability perspective. Energies, 9(4), 270.
  72. Zhou, G., Zhu, Z., & Luo, S. (2022). Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm. Energy, 247, 123437. https://doi.org/10.1016/j.energy.2022.123437