Assessment of the possibility of locating electric car charging stations using Fuzzy AHP and GIS – the case of Łódź, Poland
PDF (Angielski)

Słowa kluczowe

AHP
FAHP
GIS
electromobility
location problem

Jak cytować

Szterlik-Grzybek, P., & Kucharski, A. (2023). Assessment of the possibility of locating electric car charging stations using Fuzzy AHP and GIS – the case of Łódź, Poland. Czasopismo "Economics and Environment", 84(1), 134-148. https://doi.org/10.34659/eis.2023.84.1.540

Abstrakt

This paper examines the possibility of locating electric vehicle charging stations using multi-criteria decision analysis (MCDA) and GIS. The study presents an integrated approach, which can be helpful in spatial planning. Recent years have witnessed a growing interest in using alternative power sources for motor vehicles. It is stimulated by top-down factors, such as regulations introduced by the European Commission or the introduction of the so-called “clean transport zones” by some local governments, as well as the bottom-up ones, including the increase in the cost of maintaining fossil fuel-powered cars. Local governments can employ the analysis presented in the paper to find a coherent development strategy for using electric vehicles (EVs) in cities. Based on the verified hypothesis, the Łódź city area has diverse suitability for EV charging stations, with predominant unfavourable regions for such investments. The research aims to find the methodology for performing the suitability analysis to locate new infrastructure elements in an urban space.

PDF (Angielski)

Bibliografia

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655. https://doi.org/10.1016/0377-2217(95)00300-2

Csutora, R., & Buckley, J. J. (2001). Fuzzy hierarchical analysis: The Lambda-Max method. Fuzzy Sets and Systems, 120(2), 181-195. https://doi.org/10.1016/s0165-0114(99)00155-4

Dashora, Y., Barnes, J. W., Pillai, R. S., Combs, T. E., Hilliard, M., & Chinthavali, M. S. (2010). The PHEV charging infrastructure planning (PCIP) problem. International Journal of Emerging Electric Power Systems, 11(2). https://doi.org/10.2202/1553-779X.2482

Guler, D., & Yomralioglu, T. (2020). Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS. Annals of GIS, 26(2), 169-189. https://doi.org/10.1080/19475683.2020.1737226

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. https://doi.org/10.1016/j.apenergy.2015.08.082

Jarek, S. (2016). Removing Inconsistency in Pairwise Comparisons Matrix in the AHP. Multiple Criteria Decision Making, 11, 63-76. https://doi.org/10.22367/mcdm.2016.11.05

Krejčí, J., Pavlačka, O., & Talašová, J. (2017). A fuzzy extension of Analytic Hierarchy Process based on the constrained fuzzy arithmetic. Fuzzy Optimization and Decision Making, 16(1), 89-110. https://doi.org/10.1007/s10700-016-9241-0

Kutlu, A. C., & Ekmekçioǧlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1), 61-67. https://doi.org/10.1016/j.eswa.2011.06.044

Liu, F., Peng, Y., Zhang, W., & Pedrycz, W. (2017). On Consistency in AHP and Fuzzy AHP. Journal of Systems Science and Information, 5(2), 128-147. https://doi.org/doi:10.21078/JSSI-2017-128-20

Mikhailov, L. (2003). Deriving priorities from fuzzy pairwise comparison judgements. Fuzzy Sets and Systems, 134(3), 365-385. https://doi.org/10.1016/S0165-0114(02)00383-4

Pietrzak, K., & Pietrzak, O. (2020). Environmental effects of electromobility in a sustainable urban public transport. Sustainability, 12(3), 1052. https://doi.org/10.3390/su12031052

Pietrzak, O., & Pietrzak, K. (2021). The economic effects of electromobility in sustainable urban public transport. Energies, 14(4), 878. https://doi.org/10.3390/en14040878

Polskie Stowarzyszenie Paliw Alternatywnych. (2022a). Co 7. samochód sprzedawany w Polsce w 2025 r. może być elektryczny. https://pspa.com.pl/2022/raport/co-7-samochod-sprzedawany-w-polsce-w-2025-r-moze-byc-elektryczny/

Polskie Stowarzyszenie Paliw Alternatywnych. (2022b). Licznik Elektromobilności: znaczny wzrost liczby rejestracji samochodów elektrycznych po trzech kwartałach 2022 r. https://pspa.com.pl/2022/informacja/licznik-elektromobilnosci-znaczny-wzrost-liczby-rejestracji-samochodow-elektrycznych-po-trzech-kwartalach-2022-r/

Polskie Stowarzyszenie Paliw Alternatywnych. (2022c). Pojazdy elektryczne zdominują 70% rynku już w 2040 r. [RAPORT]. https://pspa.com.pl/2022/raport/pojazdy-elektryczne-zdominuja-70-rynku-juz-w-2040-r-raport/

Quak, H., Nesterova, N., Van Rooijen, T., & Dong, Y. (2016). Zero Emission City Logistics: Current Practices in Freight Electromobility and Feasibility in the Near Future. Transportation Research Procedia, 14, 1506-1515. https://doi.org/10.1016/j.trpro.2016.05.115

Rokicki, T., Bórawski, P., Bełdycka-Bórawska, A., Żak, A., & Koszela, G. (2022). Development of electromobility in European Union countries under COVID-19 conditions. Energies, 15(1), 1-24. https://doi.org/10.3390/en15010009

Szymańska, P., & Szczur, A. (2019). Kryteria oceny lokalizacji punktów ładowania samochodów elektrycznych. Studium przypadku: sieć punktów ładowania w Poznaniu. Prace Komisji Geografii Komunikacji PTG, 22(2), 20-33. https://doi.org/10.4467/2543859xpkg.19.008.11148

Trzaskalik, T. (2014). Wielokryterialne wspomaganie decyzji. Metody i zastosowania. Warszawa: PWE.

Wu, Y., Yang, M., Zhang, H., Chen, K., & Wang, Y. (2016). Optimal site selection of electric vehicle charging stations based on a cloud model and the PROMETHEE method. Energies, 9(3), 1-20. https://doi.org/10.3390/en9030157

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), 1-22. https://doi.org/10.3390/en9040270

Zhu, Z. H., Gao, Z. Y., Zheng, J. F., & Du, H. M. (2016). Charging station location problem of plug-in electric vehicles. Journal of Transport Geography, 52, 11-22. https://doi.org/10.1016/j.jtrangeo.2016.02.002

Creative Commons License

Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Na tych samych warunkach 4.0 Miedzynarodowe.

Prawa autorskie (c) 2023 Czasopismo "Economics and Environment-Ekonomia i Środowisko"

Downloads

Download data is not yet available.