Work

Electric vehicle charger sharing services: a latent class analysis based on private charger owners’ motivation and intention to share as hosts

Year: 2025

Type: article

Abstract: As the global adoption of electric vehicles (EVs) accelerates, the need for accessible and scalable charging infrastructure poses a growing challenge, particularly in urban areas. While research has largely focused on public charging provision, the potential of private charger sharing – facilitated through Charger Sharing Services (CSS) remains underexplored. This study investigates the factors shaping private EV charger owners’ willingness to participate in CSS, using survey data from London-based charger owners. Latent Class Analysis was employed to segment respondents based on their economic, social, and moral motivations, as well as their intention to share. Four distinct consumer segments were identified and are presented in conceptual order from least to most motivated to share: Unmotivated Reluctant, Indifferent, Economic-Centred, and Highly Motivated. Each segment reflects unique socio-demographic and travel behaviour profiles. Results show that economic motivations play a pivotal role especially among those who are younger and cost-conscious, whereas wealthier and more highly educated groups exhibit greater reluctance. These findings point to the importance of tailored engagement strategies. Policy and industry recommendations are offered to strengthen CSS adoption in the host side and support more connected, equitable EV charging networks.

Source: European transport studies.

DOI: 10.1016/j.ets.2025.100030

Authors: Yanghui Cao, Yuerong Zhang

Institutions: Energy Institute, University College London

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Reduced inequalities

Open Access status: gold

Estimated APC paid: $1,100