| By: |
Hélène Bouscasse (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes) |
| Abstract: |
Mode choice depends on observable characteristics of the transport modes and
of the decision maker, but also on unobservable characteristics, known as
latent variables. By means of an integrated choice and latent variable (ICLV)
model, which is a combination of structural equation model and discrete choice
model, it is theoretically possible to integrate both types of variables in a
psychologically and economically sound mode choice model. To achieve such a
goal requires clear positioning on the four dimensions covered by ICLV models:
survey methods, econometrics, psychology and economics. This article presents
a comprehensive survey of the ICLV literature applied to mode choice
modelling. I review how latent variables are measured and incorporated in the
ICLV models, how they contribute to explaining mode choice and how they are
used to derive economic outputs. The main results are: 1) the latent variables
used to explain mode choice are linked to individual mental states,
perceptions of transport modes, or an actual performed behaviour; 2) the
richness of structural equation models still needs to be explored to fully
embody the psychological theories explaining mode choice; 3) the integration
of latent variables helps to improve our understanding of mode choice and to
adapt public policies. |
| Keywords: |
Mode choice,Survey,Integrated choice and latent variable model,Structural equation modelling,Behavioural theories,Economic outputs |
| Date: |
2018–05–02 |
| URL: |
http://d.repec.org/n?u=RePEc:hal:wpaper:hal-01795630&r=dcm |