Towards sustainable cities
Saved in:
| Title: | Towards sustainable cities |
|---|---|
| Authors: | Menendez Agudin, Alvaro, Caballini, Claudia, Deflorio, Francesco Paolo, Fernandez Aznar, Gregorio, Herman, Leopold, Knez, Klemen |
| Source: | Sustainability, 27 str. : Ilustr., Vol. 17, iss. 7, [article no.] 3052, Apr.-1 2025 COBISS-ID: 5324897 |
| Publisher Information: | Basel : MDPI, 2009, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | urbana trajnostna mobilnost, električna vozila, polnilna infrastruktura, kazalniki, gručenje, robustnost, metoda k-voditeljev, urban sustainable mobility, electric cars, charging infrastructures, KPIs, clusters, robustness, K-Means clustering method |
| Description: | 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 characteristics, 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. Opis vira z dne 10. 4. 2025. Bibliografija: str. 26-27. |
| Document Type: | Article |
| Language: | English |
| Access URL: | https://plus.cobiss.net/cobiss/si/en/bib/232223235 https://www.mdpi.com/2071-1050/17/7/3052 |
| Rights: | CC BY |
| Accession Number: | edsair.od.....10295..6425a3d75aa7ec0a4295032f1c6570ed |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | 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 characteristics, 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.<br />Opis vira z dne 10. 4. 2025.<br />Bibliografija: str. 26-27. |
|---|