Electric Vehicle Adoption Modeling in France: A Systematic Literature Review

TL;DR

This paper reviews existing literature on electric vehicle adoption in France, identifying key factors and causal relationships to inform policy modeling for achieving the country's EV transition goal by 2040.

Contribution

It systematically analyzes 20 journals to identify factors influencing EV adoption and develops a causal loop model highlighting key feedback structures.

Findings

Identified five direct and four indirect factors affecting EV adoption.

Developed a causal loop model with four balancing and three reinforcing loops.

Found advertising has a goal-seeking structure, while word of mouth and environmental image have S-shaped dynamics.

Abstract

France is one of the pioneer countries in the use of Electric Vehicles (EVs). The French government aims to complete the transition to EVs by 2040. Therefore, modeling related to the adoption of EVs is needed in order to determine the potential policies needed to achieve this goal. This modeling is based on a literature study to identify the factors and the causal relationship between those factors. The systematic literature review (SLR) analysis was performed on 20 journals selected based on PRISMA filtering. From this SLR analysis, five direct factors and four indirect factors were obtained which were then used as the basis for modeling. Based on the model developed, four balancing (B) loops and three reinforcing (R) loops were obtained. From the analysis, it was found that the advertising factor has a goal seeking structure, while the word of mouth, environmentally friendly image, and total cost of ownership factors have an S-shaped structure.