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

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Number of pages23
Publication statusE-pub ahead of print - 2020



  • Co-dependent location
  • Error component logit model
  • Heterogeneity
  • Multidimensional choice
  • Panel data
  • Pivoted stated choice experiment

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