Monte Carlo simulation of household travel survey data with Bayesian updating.

Author(s)
Stopher, P. & Pointer, G.
Year
Abstract

This paper describes research in which the distributions of travel characteristics were updated from a small local sample, using the method of Bayesian updating with subjective priors. The resulting distributions were found to resemble more closely those of the local area for which the simulation was being undertaken. The paper describes the procedure of updating, and then summarises the results obtained in updating the distributions for Adelaide in South Australia, using original distributions from the US, and local census data, together with a local household travel survey. The paper also shows the results of expanding the simulated data to the region. These results are compared with the expansion of actual survey data for the region. It is found that the updated simulation gives a more accurate simulation result for the region, than simulation without updating. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E208431.

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Publication

Library number
C 27055 (In: C 26913 CD-ROM) /71 / ITRD E209403
Source

In: Transport: our highway to a sustainable future : proceedings of the 21st ARRB and 11th REAAA Conference, Cairns, Queensland, Australia, 18-23 May 2003, 14 p., 8 ref.

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