Title: MICROCOMPUTERS IN TRANSPORTATION. ESTIMATING NETWORK MODEL PARAMETERS FROM MAIL SURVEY DATA
Abstract: It is noted that network models based on 4-step modeling (trip generation; trip distribution; modal split; and trip assignment) can lead to significant model inaccuracies. This paper describes a set of techniques for estimating these parameters from mail surveys and applies them to the Burlington, Vermont region, the City of Keene, New Hampshire, and the Syracuse, New York region. Household trip diaries were collected, and survey data were used to estimate production rates based on residential land use, attraction rates based on non-residential land use, and trip distribution (gravity model) parameters. It was found that the resulting parameters differ considerably from area to area, and that they differ even more from published default values. The study achieved well calibrated models using the estimated parameters.
Publication Year: 1993
Publication Date: 1993-01-01
Language: en
Type: article
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