Using Household Survey to Forecast Household Mode Choice and Trip Sharing

  • Sutee Anantsuksomsri Faculty of Architecture, Chulalongkorn University, 10330 Thailand
  • Mark A. Turquist School of Civil and Environmental Engineering, Cornell University, 14853 USA
  • Nij Tontisirin Faculty of Architecture and Planning, Thammasat University, 12121, Thailand

Abstract

The paper introduces a new method to forecast household travel mode choice and trip sharing behavior by using household socio-economic survey and trip table data. The method introduces spatial dimension in household travel mode choice analysis. It demonstrates how standard household survey data that are not specifically designed for use in a modal split model can be used to forecast household travel mode choice and estimate ridership for a mass transit mode. Using the sampled data of Bangkok household survey, the forecast reveals that trip sharing is predominant household mode choice, and mass transit is an attractive mode choice.  

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Published
2020-06-30
How to Cite
Anantsuksomsri, S., Turnquist, M. A., & Tontisirin, N. (2020). Using Household Survey to Forecast Household Mode Choice and Trip Sharing. nternational ournal of uilding, rban, nterior and andscape echnology (BUILT), 15, 27-44. etrieved from https://ph02.tci-thaijo.org/index.php/BUILT/article/view/238845
Section
Articles