Towards sustainable cities

ǂa ǂKPI-based method to compare cities’ performance and encourage the spread of electric cars

Alvaro Menendez Agudin (Avtor), Claudia Caballini (Avtor), Francesco Paolo Deflorio (Avtor), Gregorio Fernandez Aznar (Avtor), Leopold Herman (Avtor), Klemen Knez (Avtor)

Povzetek

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.

Ključne besede

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;

Podatki

Jezik:	Angleški jezik
Leto izida:	2025
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL FE - Fakulteta za elektrotehniko
UDK:	629.331-83
COBISS:	232223235
ISSN:	2071-1050
Št. ogledov:	77
Št. prenosov:	12
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	urbana trajnostna mobilnost;električna vozila;polnilna infrastruktura;kazalniki;gručenje;robustnost;metoda k-voditeljev;
Vrsta dela (COBISS):	Članek v reviji
Strani:	27 str.
Letnik:	ǂVol. ǂ17
Zvezek:	ǂiss. ǂ7, [article no.] 3052
Čas izdaje:	Apr.-1 2025
DOI:	10.3390/su17073052
ID:	26202240