Toggle Main Menu Toggle Search

Open Access padlockePrints

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

Lookup NU author(s): Dr Dilum Dissanayake



This study proposes a Nested Logit model to investigate household travel behaviour in respect to vehicle ownership, mode choice and trip sharing decisions. The model is analysed 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 behaviour 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-traveller households. Trip sharing is considered as one of the mode-choice options in the model. The proposed model is analysed using data from the Bangkok Metropolitan Region. The analysis con ducted informs that Central Business District (CBD) travel, long distance travel, household income, job status, age of travellers 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.

Publication metadata

Author(s): Dissanayake D, Morikawa T

Publication type: Article

Publication status: Published

Journal: Journal of Transport Geography

Year: 2010

Volume: 18

Issue: 3

Pages: 402-410

Date deposited: 28/05/2010

ISSN (print): 0966-6923

ISSN (electronic): 1873-1236

Publisher: Pergamon


DOI: 10.1016/j.jtrangeo.2009.07.003


Altmetrics provided by Altmetric