Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region

This study proposes a nested logit model to investigate household travel behavior in respect to vehicle ownership, mode choice and trip sharing decisions. The model is analyzed using revealed preference (RP) and stated preference (SP) data since a combined estimation of RP/SP data is an effective method of expressing complex travel behavior and forecasting travel demand for new transport services. In the proposed model, the nesting structure has two levels. The upper level shows car ownership, motorcycle ownership, and no vehicle-ownership choices, and the lower level shows the mode choice combinations for two-traveler households. Trip sharing is considered as one of the mode-choice options in the model. The proposed model is analyzed using data from the Bangkok Metropolitan Region. The analysis conducted informs that central business district (CBD) travel, long distance travel, household income, job status, age of travelers and presence of school children in households are key aspects in household travel decisions. Based on these aspects, households make important decisions on vehicle ownership, mode choice and trip sharing. In addition, this study reveals commuters' hidden preferences for modes that are not in existence, in particular the Mass Rapid Transit System in the Bangkok Metropolitan Region due to be fully implemented in 2010.

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  • English

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  • Accession Number: 01155132
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 13 2010 7:41AM