標題: Incomplete information analysis for the origin-destination survey table
作者: Jou, Yow-Jen
Cho, Hsun-Jung
Lin, Pei-Wei
Wang, Chih-Yin
統計學研究所
運輸與物流管理系 註:原交通所+運管所
Institute of Statistics
Department of Transportation and Logistics Management
公開日期: 1-Dec-2006
摘要: 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.
URI: http://dx.doi.org/10.1061/(ASCE)0733-9488(2006)132:4(193)
http://hdl.handle.net/11536/11516
ISSN: 0733-9488
DOI: 10.1061/(ASCE)0733-9488(2006)132:4(193)
期刊: JOURNAL OF URBAN PLANNING AND DEVELOPMENT-ASCE
Volume: 132
Issue: 4
起始頁: 193
結束頁: 200
Appears in Collections:Articles


Files in This Item:

  1. 000242618000002.pdf