Cognitive consistency and preferences for alternative fuel vehicles: a latent class model
Cognitive consistency and preferences for alternative fuel vehicles: a latent class model
Long-term decisions, such as electric vehicle purchases, typically involve assessing complex interactions among several cognitive components. These psychological constructs are often a source of heterogeneity in the preferences for instrumental attributes. In this paper, we analyse vehicle fuel type choices using a latent class-discrete choice model where attitudinal and emotional appraisals of the electric vehicle purchase decision influence both class membership and preferences within each class. The model is estimated using data from a stated choice experiment and an attitudinal questionnaire. Attitudinal and emotional outputs come from the hot coherence (HOTCO) model, where motivation and behavioural response interact with each other to produce a consistent assessment. Our results reveal three distinct user segments in the sample – potential innovators, laggards, and sceptics, with markedly different purchase motives, preference parameters, and decision-making profiles. The HOTCO attributes help identifying the cognitive aspects that shape decision-making which is beneficial for effective policy design.
Cognitive consistency, Electric vehicles, Hot coherence, Hybrid-electric vehicles, Latent class choice models, Stated choice
Domarchi, Cristian
12770dd9-ec99-4d57-acfc-4ca745b63f07
Cherchi, Elisabetta
0bb4e26d-ed34-4fa4-b948-848d7565168f
Vuong, Quoc C.
9c3e8507-5762-4e63-9338-2bc5541cb253
11 April 2025
Domarchi, Cristian
12770dd9-ec99-4d57-acfc-4ca745b63f07
Cherchi, Elisabetta
0bb4e26d-ed34-4fa4-b948-848d7565168f
Vuong, Quoc C.
9c3e8507-5762-4e63-9338-2bc5541cb253
Domarchi, Cristian, Cherchi, Elisabetta and Vuong, Quoc C.
(2025)
Cognitive consistency and preferences for alternative fuel vehicles: a latent class model.
Transportation Research Part D: Transport and Environment, 143, [104729].
(doi:10.1016/j.trd.2025.104729).
Abstract
Long-term decisions, such as electric vehicle purchases, typically involve assessing complex interactions among several cognitive components. These psychological constructs are often a source of heterogeneity in the preferences for instrumental attributes. In this paper, we analyse vehicle fuel type choices using a latent class-discrete choice model where attitudinal and emotional appraisals of the electric vehicle purchase decision influence both class membership and preferences within each class. The model is estimated using data from a stated choice experiment and an attitudinal questionnaire. Attitudinal and emotional outputs come from the hot coherence (HOTCO) model, where motivation and behavioural response interact with each other to produce a consistent assessment. Our results reveal three distinct user segments in the sample – potential innovators, laggards, and sceptics, with markedly different purchase motives, preference parameters, and decision-making profiles. The HOTCO attributes help identifying the cognitive aspects that shape decision-making which is beneficial for effective policy design.
Text
1-s2.0-S1361920925001397-main
- Version of Record
More information
Accepted/In Press date: 31 March 2025
e-pub ahead of print date: 11 April 2025
Published date: 11 April 2025
Keywords:
Cognitive consistency, Electric vehicles, Hot coherence, Hybrid-electric vehicles, Latent class choice models, Stated choice
Identifiers
Local EPrints ID: 501314
URI: http://eprints.soton.ac.uk/id/eprint/501314
ISSN: 1361-9209
PURE UUID: ee239cf1-64e3-4ef4-bfa3-d6ff80d1fc0a
Catalogue record
Date deposited: 28 May 2025 17:08
Last modified: 22 Aug 2025 02:42
Export record
Altmetrics
Contributors
Author:
Cristian Domarchi
Author:
Elisabetta Cherchi
Author:
Quoc C. Vuong
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics