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Cognitive consistency and preferences for alternative fuel vehicles: A latent class model

Lookup NU author(s): Dr Quoc VuongORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2025 The AuthorsLong-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.

Publication metadata

Author(s): Domarchi C, Cherchi E, Vuong QC

Publication type: Article

Publication status: Published

Journal: Transportation Research Part D: Transport and Environment

Year: 2025

Volume: 143

Print publication date: 01/06/2025

Online publication date: 11/04/2025

Acceptance date: 31/03/2025

Date deposited: 23/04/2025

ISSN (print): 1361-9209

ISSN (electronic): 1879-2340

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.trd.2025.104729

DOI: 10.1016/j.trd.2025.104729

Data Access Statement: Data will be made available on request

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