Towards Sustainable Cities: A KPI-Based Method to Compare Cities’ Performance and Encourage the Spread of Electric Cars
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| Název: | Towards Sustainable Cities: A KPI-Based Method to Compare Cities’ Performance and Encourage the Spread of Electric Cars |
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| Autoři: | Menendez Agudin, Alvaro, Caballini, Claudia, Deflorio, Francesco Paolo, Fernandez Aznar, Gregorio, Herman, Leopold, Knez, Klemen |
| Přispěvatelé: | Menendez Agudin, Alvaro, Caballini, Claudia, Deflorio, Francesco Paolo, Fernandez Aznar, Gregorio, Herman, Leopold, Knez, Klemen |
| Informace o vydavateli: | MDPI |
| Rok vydání: | 2025 |
| Sbírka: | PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino) |
| Témata: | electric car, charging infrastructure, KPI, cluster, robustne, K-Means clustering method |
| Popis: | European cities have adopted different solutions to address the challenges of charging infrastructure for electric vehicles, depending on their specific characteristics and needs. The widespread adoption of effective solutions could accelerate the transition towards more sustainable urban mobility. However, as cities differ in socio-economic, infrastructural, and environmental aspects, a one-size-fits-all approach may not be suitable. Currently, there is a lack of studies in the literature that identify similarities among cities to support the development of shared strategies for sustainable electric mobility. This paper contributes to filling this gap by proposing a methodology based on Key Performance Indicators (KPIs) to classify and compare cities according to their electric vehicle infrastructure. Using quantitative data from 80 European cities across civil, social, and transport-related factors, as well as electric vehicle charging character-istics, we identified five reference city clusters. A sensitivity analysis, conducted across 30 scenarios, validated the robustness of the KPI framework. This approach provides a tool for policymakers to monitor the evolution of charging infrastructure, supporting data-driven decision-making for sustainable urban mobility. By promoting efficient and adaptable electric vehicle policies, this study aligns with the objectives of the 2030 Agenda for Sustainable Development, particularly in fostering sustainable cities and clean energy adoption. |
| Druh dokumentu: | article in journal/newspaper |
| Popis souboru: | ELETTRONICO |
| Jazyk: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:001465746900001; volume:17; issue:7; numberofpages:27; journal:SUSTAINABILITY; https://hdl.handle.net/11583/2999054 |
| DOI: | 10.3390/su17073052 |
| Dostupnost: | https://hdl.handle.net/11583/2999054 https://doi.org/10.3390/su17073052 https://www.mdpi.com/2071-1050/17/7/3052 |
| Rights: | info:eu-repo/semantics/openAccess |
| Přístupové číslo: | edsbas.6BDC721 |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | European cities have adopted different solutions to address the challenges of charging infrastructure for electric vehicles, depending on their specific characteristics and needs. The widespread adoption of effective solutions could accelerate the transition towards more sustainable urban mobility. However, as cities differ in socio-economic, infrastructural, and environmental aspects, a one-size-fits-all approach may not be suitable. Currently, there is a lack of studies in the literature that identify similarities among cities to support the development of shared strategies for sustainable electric mobility. This paper contributes to filling this gap by proposing a methodology based on Key Performance Indicators (KPIs) to classify and compare cities according to their electric vehicle infrastructure. Using quantitative data from 80 European cities across civil, social, and transport-related factors, as well as electric vehicle charging character-istics, we identified five reference city clusters. A sensitivity analysis, conducted across 30 scenarios, validated the robustness of the KPI framework. This approach provides a tool for policymakers to monitor the evolution of charging infrastructure, supporting data-driven decision-making for sustainable urban mobility. By promoting efficient and adaptable electric vehicle policies, this study aligns with the objectives of the 2030 Agenda for Sustainable Development, particularly in fostering sustainable cities and clean energy adoption. |
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| DOI: | 10.3390/su17073052 |