Estimating Synthetic Baseline Population Distribution when Only Partial Marginal Information is Available

• WONGCHAVALIDKUL Natachai

  School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University

• PIANTANAKULCHAI Mongkut

  School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University

抄録

Synthetic baseline population data is one of the most important data required for the activity based travel demand model. The conventional approach to create this baseline population mainly relies on the Iterative Proportional Fitting (IPF) procedure. However, the traditional IPF procedure assumes the known input data from both the observed cell counts and their marginal counts. This paper presents the application of least square procedure for estimating baseline population distribution in the area where only partial marginal distribution data are available. The method concentrates on optimizing the least squares of the errors between the estimated conditional probability and the target conditional probability, given the constraints of underlying population information in the study area (such as total population, total population by gender, and total population by age etc.). Numerical examples and the case study of Phitsanulok city in Thailand are also presented.

収録刊行物

• Journal of the Eastern Asia Society for Transportation Studies

  Journal of the Eastern Asia Society for Transportation Studies 8 (0), 451-465, 2010

  Eastern Asia Society for Transportation Studies

キーワード

• synthetic baseline population
• contingency table
• activity based travel demand model

詳細情報

• CRID: 1390282680267961600
• NII論文ID: 130000400952
• DOI: 10.11175/easts.8.451
• ISSN: 18811124
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可