Incomplete information analysis for the origin-destination survey table

Yow Jen Jou, Hsun-Jung Cho*, Pei Wei Lin, Chih Yin Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Sampling is one approach used to survey the origin-destination (O-D) trip matrix. However, when the sampling rate is not sufficiently large compared to the population, the sampling data may have missing values in O-D pairs and that makes the O-D matrix incomplete. Two imputation methods to solve the problem mentioned previously are presented in this study. The Deming-Stephan (D-S) proportional fitting procedure is a statistical method first proposed to impute the missing value in this study. The improved D-S method, its convergence is proved by Cauchy criteria in this study, applies the iteration conception in the D-S method to solve the incomplete data problem. One numerical example displayed in this study shows that the improved D-S method produces an estimated O-D table with similar pattern as that of the population table.

Original languageEnglish
Pages (from-to)193-200
Number of pages8
JournalJournal of Urban Planning and Development
Issue number4
StatePublished - 1 Dec 2006


  • Housing
  • Manufactured homes
  • Models
  • Simulation

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