Leaders in the development of electromobility – A multidimensional comparative analysis of European countries

The rapid but uneven transition toward electromobility across Europe is fundamentally reshaping modern transport and energy policies. However, the lack of a unified implementation approach under the AFIR guidelines has outpaced the analytical tools available to assess national progress, with existing comparisons often relying on single-indicator metrics that distort relative market standing. To overcome these analytical limitations, this article develops a multidimensional index DEVCS for 33 European countries, utilising the latest 2025 data from the European Alternative Fuels Observatory (EAFO). The methodological framework integrates 5 core indicators called EV adoption, infrastructure availability, spatial density, charging capacity and transition depth, through objective entropy weighting and the TOPSIS technique. Subsequently, hierarchical clustering is applied to map the structural topology of national ecosystems. When charging density is normalised by administrative land area, as is conventional, the indicator largely captures uninhabited territory, and entropy weighting inflates it to nearly half the index. Correcting the denominator to built-up land rebalances the weights and changes the leaders. Iceland, Norway and Denmark head the corrected ranking, the Netherlands falls from 1st to 4th. A stable leading group of 7 countries holds across weighting and clustering methods. GDP per capita and urbanisation are significant positive correlates, whilst raw population density is not. Testing provision against AFIR proves revealing: 32 of 33 countries already meet the fleet-based target, and those that clear it most comfortably have the least electromobility, because the requirement scales with fleet size. In most of Europe the binding constraint is no longer infrastructure but demand.

Authors

Institutions

Publication Details

Journal
Research in Transportation Business & Management
Published
2026-09-04
DOI
https://doi.org/10.1016/j.rtbm.2026.101860
Primary Topic
Asian Industrial and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leaders in the development of electromobility – A multidimensional comparative analysis of European countries

Sebastian Szymon Grzesiak
Research in Transportation Business & Management
Asian Industrial and Economic Development
article

Leaders in the development of electromobility – A multidimensional comparative analysis of European countries

Sebastian Szymon Grzesiak
article en

Abstract

The rapid but uneven transition toward electromobility across Europe is fundamentally reshaping modern transport and energy policies. However, the lack of a unified implementation approach under the AFIR guidelines has outpaced the analytical tools available to assess national progress, with existing comparisons often relying on single-indicator metrics that distort relative market standing. To overcome these analytical limitations, this article develops a multidimensional index DEVCS for 33 European countries, utilising the latest 2025 data from the European Alternative Fuels Observatory (EAFO). The methodological framework integrates 5 core indicators called EV adoption, infrastructure availability, spatial density, charging capacity and transition depth, through objective entropy weighting and the TOPSIS technique. Subsequently, hierarchical clustering is applied to map the structural topology of national ecosystems. When charging density is normalised by administrative land area, as is conventional, the indicator largely captures uninhabited territory, and entropy weighting inflates it to nearly half the index. Correcting the denominator to built-up land rebalances the weights and changes the leaders. Iceland, Norway and Denmark head the corrected ranking, the Netherlands falls from 1st to 4th. A stable leading group of 7 countries holds across weighting and clustering methods. GDP per capita and urbanisation are significant positive correlates, whilst raw population density is not. Testing provision against AFIR proves revealing: 32 of 33 countries already meet the fleet-based target, and those that clear it most comfortably have the least electromobility, because the requirement scales with fleet size. In most of Europe the binding constraint is no longer infrastructure but demand.

Research in Transportation Business & ManagementVol. 69
Wroclaw University of Economics and Business (PL)
Openalex Percentile: Top 3%
Asian Industrial and Economic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.