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Title: DATA COMBINATION AND UPDATING METHODS FOR TRAVEL SURVEYS
Accession Number: 00489555
Record Type: Component
Availability: Find a library where document is available Abstract: Data from a questionnaire survey that is the principal source of information on individual characteristics are subject to sampling errors and nonsampling biases. In aggregate data, sampling errors are usually small because a large sample is more easily obtainable and the data are also free from nonsampling biases. This paper develops a data combination and updating method that corrects survey data for nonresponse biases and reduces sampling errors by statistically combining survey data with aggregate data. This method is applied to the estimation of an origin-destination (O-D) table stratified by market segments. The O-D matrix entries and parameters of a nonresponse bias model are estimated by the maximum likelihood estimation method. An application for an intercity rail corridor is presented.
Supplemental Notes: This paper appears in Transportation Research Record No. 1203, Demand Forecasting and Trip Generation-Route Choice Dynamics. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Demand forecasting and trip generation - route choice dynamics Monograph Accession #: 01413989
Authors: Ben-Akiva, MosheMorikawa, TakayukiPagination: p. 40-47
Publication Date: 1988
Serial: ISBN: 0309047692
Features: Figures
(2)
; References
(22)
; Tables
(6)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation; Railroads; Terminals and Facilities; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Nov 30 1989 12:00AM
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