TY - JOUR
T1 - Identifying locations for electric vehicle charging stations in urban areas through the application of multicriteria techniques
AU - Morocho-Chicaiza, Wiliam
AU - Barragán-Escandón, Antonio
AU - Zalamea-León, Esteban
AU - Ochoa-Correa, Danny
AU - Terrados-Cepeda, Julio
AU - Serrano-Guerrero, Xavier
N1 - Publisher Copyright:
© 2024
PY - 2024/12
Y1 - 2024/12
N2 - The incorporation of electric vehicles (EVs) into urban mobility is increasing daily, driving the need to incorporate urban charging stations (EVCSs) additionally. This study proposes a methodology for identifying adequate EVCS locations within an urban area. This methodology is based on the joint application of multicriteria decision-making methods (MCDMs) to solve urban planning problems related to the placement of EVCSs. As a starting point, the locations of the existing fossil fuel supply stations in each city are used as alternatives. The city of Cuenca, Ecuador, is used as a case study. Criteria and subcriteria have also been determined based on the available information and are used to propose three scenarios based on their value variation, which is established as preponderance weights. Among the results obtained, three alternatives scored better than the rest in most of the evaluations. As there was no conclusive result, a statistical analysis was conducted to strengthen the decision-making process and determine the most favourable potential locations.
AB - The incorporation of electric vehicles (EVs) into urban mobility is increasing daily, driving the need to incorporate urban charging stations (EVCSs) additionally. This study proposes a methodology for identifying adequate EVCS locations within an urban area. This methodology is based on the joint application of multicriteria decision-making methods (MCDMs) to solve urban planning problems related to the placement of EVCSs. As a starting point, the locations of the existing fossil fuel supply stations in each city are used as alternatives. The city of Cuenca, Ecuador, is used as a case study. Criteria and subcriteria have also been determined based on the available information and are used to propose three scenarios based on their value variation, which is established as preponderance weights. Among the results obtained, three alternatives scored better than the rest in most of the evaluations. As there was no conclusive result, a statistical analysis was conducted to strengthen the decision-making process and determine the most favourable potential locations.
KW - charging stations
KW - Electric vehicles
KW - fossil fuel supply
KW - multicriteria decision-making
KW - urban mobility
KW - urban planning
UR - http://www.scopus.com/inward/record.url?scp=85200581637&partnerID=8YFLogxK
U2 - 10.1016/j.egyr.2024.07.057
DO - 10.1016/j.egyr.2024.07.057
M3 - Article
AN - SCOPUS:85200581637
SN - 2352-4847
VL - 12
SP - 1794
EP - 1809
JO - Energy Reports
JF - Energy Reports
ER -