Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model

Jia Guo, Tao Feng (Corresponding author), Harry J.P. Timmermans

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1 Citaat (Scopus)

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This paper develops an error component mixed logit model to analyze the multi-dimensional residential, work and transportation mode choice. It expanse previous studies based on life-trajectory theory which predominantly only considered two life domains. In contributing to this emerging field of research, we design an integrated pivoted stated choice experiment considering the multi-dimensional choice of job, residence and transportation mode for the journey to work. The results of the estimated error component mixed logit model with panel effects indicate that most selected attributes of the residential environment, job profile and transportation mode are significantly related to individual differences in multidimensional choices. Moreover, the estimation of various sources of unobserved heterogeneity signals significant unobserved heterogeneity in selected taste parameters, and choice dependent heteroscedasticity in error component variance.

Originele taal-2Engels
Aantal pagina's23
TijdschriftTransportation
DOI's
StatusE-publicatie vóór gedrukte publicatie - 2020

Vingerafdruk

transportation mode
commuting
workplace
journey to work
modeling
residential environment
research planning
trajectory
Trajectories
experiment
Experiments

Citeer dit

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title = "Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model",
abstract = "This paper develops an error component mixed logit model to analyze the multi-dimensional residential, work and transportation mode choice. It expanse previous studies based on life-trajectory theory which predominantly only considered two life domains. In contributing to this emerging field of research, we design an integrated pivoted stated choice experiment considering the multi-dimensional choice of job, residence and transportation mode for the journey to work. The results of the estimated error component mixed logit model with panel effects indicate that most selected attributes of the residential environment, job profile and transportation mode are significantly related to individual differences in multidimensional choices. Moreover, the estimation of various sources of unobserved heterogeneity signals significant unobserved heterogeneity in selected taste parameters, and choice dependent heteroscedasticity in error component variance.",
keywords = "Co-dependent location, Error component logit model, Heterogeneity, Multidimensional choice, Panel data, Pivoted stated choice experiment",
author = "Jia Guo and Tao Feng and Timmermans, {Harry J.P.}",
year = "2020",
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language = "English",
journal = "Transportation",
issn = "0049-4488",
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AU - Guo, Jia

AU - Feng, Tao

AU - Timmermans, Harry J.P.

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Y1 - 2020

N2 - This paper develops an error component mixed logit model to analyze the multi-dimensional residential, work and transportation mode choice. It expanse previous studies based on life-trajectory theory which predominantly only considered two life domains. In contributing to this emerging field of research, we design an integrated pivoted stated choice experiment considering the multi-dimensional choice of job, residence and transportation mode for the journey to work. The results of the estimated error component mixed logit model with panel effects indicate that most selected attributes of the residential environment, job profile and transportation mode are significantly related to individual differences in multidimensional choices. Moreover, the estimation of various sources of unobserved heterogeneity signals significant unobserved heterogeneity in selected taste parameters, and choice dependent heteroscedasticity in error component variance.

AB - This paper develops an error component mixed logit model to analyze the multi-dimensional residential, work and transportation mode choice. It expanse previous studies based on life-trajectory theory which predominantly only considered two life domains. In contributing to this emerging field of research, we design an integrated pivoted stated choice experiment considering the multi-dimensional choice of job, residence and transportation mode for the journey to work. The results of the estimated error component mixed logit model with panel effects indicate that most selected attributes of the residential environment, job profile and transportation mode are significantly related to individual differences in multidimensional choices. Moreover, the estimation of various sources of unobserved heterogeneity signals significant unobserved heterogeneity in selected taste parameters, and choice dependent heteroscedasticity in error component variance.

KW - Co-dependent location

KW - Error component logit model

KW - Heterogeneity

KW - Multidimensional choice

KW - Panel data

KW - Pivoted stated choice experiment

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