Who is ready to live a car-independent lifestyle? A latent class cluster analysis of attitudes towards car ownership and usage

Jaime Soza-Parra*, Oded Cats

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

An excessive use of private cars for transportation has multiple negative effects on our society. It is therefore paramount to identify the underlying factors driving car usage among different segments of travellers. In this study, we aim to identify and characterise traveller segments in terms of their car-related attitudes and how different sociodemographic attributes, travel behaviour characteristics (such as using cars as the primary mode of transportation), and the accessibility of their place of residence vary amongst different population segments. Through Confirmatory Factor Analysis and Latent Profile Analysis we identify five different classes, namely car-detractors, −hesitants, −positives, −friends, and −lovers. More favourable car attitudes are associated with higher car ownership and access but, interestingly, there are no significant differences in terms of travel frequency and trip length distribution. This suggests that attitudinal differences relate mostly to modal preference rather than to the underlying travel demand patterns and the associated activities. We also see that car-less individuals are more likely to be car detractors, suggesting that the experiencing barriers for owning a car may contribute to developing more negative attitudes towards cars. Our results shed light on the different influencing factors and characteristics of individuals that consider, or not, a car-centred mobility.

Original languageEnglish
Article number104271
Number of pages15
JournalTransportation Research Part A: Policy and Practice
Volume190
DOIs
Publication statusPublished - Dec 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Funding

This research was supported by the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) . This publication makes use of data from the Netherlands Mobility Panel, which is administered by KiM Netherlands Institute for Transport Policy Analysis. The work of the second author is also supported by the CriticalMaaS project (grant number 804469) , which is financed by the European Research Council.

FundersFunder number
Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute)
European Research Council
CriticalMaaS project804469

    Keywords

    • Car independence
    • Car ownership
    • Latent profile analysis
    • Sustainability

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