The research highlights existing barriers to EV deployment and emphasizes the need for effective policies to incentivize investments in charging infrastructure, addressing the 'chicken-and-egg dilemma' faced in the early stages of EV market development.

It is crucial to develop tailored strategies for each city, as solutions effective in one location may not yield the same results in another due to differing local contexts.

A clustering methodology using k-means quantization was employed to group 80 European cities into five clusters based on their KPIs, identifying benchmark cities with similar characteristics to aid in policy development.

Key findings indicate that urban areas with superior charging infrastructure and higher EV adoption rates can serve as models for other cities, facilitating the transfer of successful strategies to enhance EV mobility.

The methodology of the study involved multiple phases, including KPI selection, data collection, normalization, and clustering, ensuring a thorough analysis of city performance in relation to electric mobility.

A recent study introduces a KPI-based method to evaluate and compare city performance in promoting electric vehicles (EVs) for sustainable urban mobility.

This research identifies key performance indicators across seven facets, including civil and social factors, transport systems, EV census, charging infrastructure, economic aspects of charging services, smart charging capabilities, and environmental impact, to assess city readiness for EV adoption.

Different European cities have implemented various solutions to tackle challenges related to electric charging infrastructure, underscoring the necessity for knowledge transfer among cities to enhance EV usage.

The study aims to support policymakers in accelerating electric car adoption by providing data-driven insights and a structured understanding of urban mobility dynamics, with backing from the European Union's HORIZON 2020 project.

Factors influencing electric vehicle adoption, such as infrastructure, pricing, policies, and socio-economic conditions, vary significantly between cities, impacting their readiness for EV integration.