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Title:

Combining Data Factoring, Clustering and Choice Modelling to Investigate Driver Perception towards Electric Vehicles

Accession Number:

01763879

Record Type:

Component

Abstract:

Transport is considered the major contributor to the global warming issue. In an attempt to lessen the impact from the transport sector, Electric Vehicles (EVs) have been receiving considerable attention from the government, policy makers as well as research community in the past decade. However, despite several efforts to improve the market appeal, the uptake has remained relatively low. This study investigates the barriers that prevent users from purchasing an EV, as well as exploring the most influential incentives based on data obtained from the Automobile Association (AA) populus panel, including responses from over 36,000 UK motorists covering two spells of 2016/17 and 2017/18.As a result of the thorough assessment and review, THREE cluster groups were identified based on age and occupation. These were classified as older users with higher skilled occupations, middle aged to older users in lower skilled occupations, and middle aged to younger users in high skilled occupations. The THREE components relating to EV barriers from PCA were named as ‘EV characteristic uncertainty’, ‘financial risk and niche market’, and ‘charging infrastructure and range anxiety’. THREE components focusing on potential mitigation incentives from PCA were ‘range and charging infrastructure improvements’, ‘restrictions and financial issues for ICEVs’ and ‘EV cost and model improvements’. It was found that EV characteristic uncertainty is a greater concern for older users, whilst financial risk is more of a concern for younger users. This information assists in the creation of targeted policies to increase EV uptake in the UK.

Supplemental Notes:

This paper was sponsored by TRB committee AMS40 Standing Committee on Alternative Fuels and Technologies.

Report/Paper Numbers:

TRBAM-21-03117

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Frost, Lucy
Dissanayake, Dilum

Pagination:

15p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

Principal Component Analysis

Geographic Terms:

United Kingdom

Subject Areas:

Energy; Highways; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-03117

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:13AM