A spatial and statistical approach for imputing origin-destination matrices from household travel survey data : a Sydney case study.

Author(s)
Ton, T. & Hensher, D.
Year
Abstract

This paper shows how spatial and statistical techniques can be implemented to estimate the number of missing value cells and the number of trips associated with each missing value cell. The classification rule is a spatial one in locating missing value cells for any travel activities between each origin and destination. It is driven by the mean trip length distribution of the origin and destination distance among traffic zones. The trip allocation rule is constructed to allocate the number of trips to missing value cells using a distribution assumption (such as the uniform). The two rules are then combined in a process based on the proportion of trip purposes and modes of travel for a whole sample of household travel records. The authors implement the method for Sydney for the period 1998-2000 to obtain total passenger trip movements for linked trips by five purposes, six modes and six times of day. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E209537. This paper may also be accessed by Internet users at: http://www.btre.gov.au/docs/atrf_02/program.html

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Publication

Library number
C 27786 (In: C 27750 CD-ROM) /72 / ITRD E209573
Source

In: ATRF02 : papers of the 25th Australasian Transport Research Forum (ATRF), Canberra, 2-4 October, 2002, 14 p., 1 ref.

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