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Do environmental concerns affect commuting choices?: hybrid choice modelling with household survey data
Author(s) -
Roberts Jennifer,
Popli Gurleen,
Harris Rosemary J.
Publication year - 2018
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/rssa.12274
Subject(s) - bespoke , generalizability theory , discrete choice , toolbox , mode choice , choice set , survey data collection , mode (computer interface) , climate change , set (abstract data type) , structural equation modeling , computer science , process (computing) , affect (linguistics) , econometrics , environmental economics , economics , transport engineering , engineering , business , psychology , machine learning , ecology , mathematics , public transport , statistics , communication , developmental psychology , advertising , biology , programming language , operating system
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.