Publication type
Journal Article
Authors
Publication date
January 15, 2018
Summary:
To meet ambitious climate change goals governments must encourage behavioural change alongside technological progress. Designing effective policy requires a thorough understanding of the factors that drive behaviours. In an effort to understand the role of environmental attitudes better we estimate a hybrid choice model (HCM) for commuting mode choice by using a large household survey data set. HCMs combine traditional discrete choice models with a structural equation model to integrate latent variables, such as attitudes, into the choice process. To date HCMs have utilized small bespoke data sets, beset with problems of selection and limited generalizability. To overcome these problems we demonstrate the feasibility of using this valuable modelling approach with nationally representative data. Our results suggest that environmental attitudes have an important influence on commute mode choice, and this can be exploited by governments looking to add to their climate change policy toolbox in an effort to change travel behaviours.
Published in
Journal of the Royal Statistical Society Series A (Statistics in Society)
Volume and page numbers
Volume: 181 , p.299 -320
DOI
http://dx.doi.org/10.1111/rssa.12274
ISSN
1467985
Subjects
Notes
Open Access
© 2017 The Authors Journal of the Royal Statistical Society: Series A (Statistics in Society) Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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