|
Title: EVALUATION OF THREE INEXPENSIVE TRAVEL DEMAND MODELS FOR SMALL URBAN AREAS
Accession Number: 00607711
Record Type: Component
Availability: Find a library where document is available Abstract: Conventional urban travel demand models, which are data-hungry, costly, and mainly meant for use in large cities and metropolitan areas, are not suitable for small urban areas with a population of 500,000 or less. These small urban areas generally lack the staff, expertise, and budget to operate the conventional models. Three simplified travel demand models are evaluated that are suitable for small urban areas and make use of routinely collected ground counts. These three models are applied in a common setting to the City of Pullman (1980 population 23,579) in the State of Washington. Socioeconomic data and routinely collected ground counts for 1970 were used as inputs to run the models, and the outputs (travel forecasts) were compared with 1980 ground counts, to determine their forecasting capability. All three models tested performed very well. The RMS error ranges between 9 and 15%, and the link volume forecasting capability for most of the links ranges between 10 to 15% of the observed volumes. Contacts with selected planning organizations in the State of Washington reveal that such methods will be useful in small urban areas, considering their staff, expertise, time and budget limitations. Currently, these small urban areas use unproven heuristic methods. The models described in this paper will considerably help small urban areas to forecast travel demands, using routinely collected traffic ground counts and socioeconomic data, with confidence.
Supplemental Notes: This paper appears in Transportation Research Record No. 1283, Transportation Systems Planning and Applications 1990. 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: Monograph Accession #: 01411087
Authors: Khisty, C JRahi, M YPagination: p. 70-78
Publication Date: 1990
Serial: ISBN: 0309050693
Features: Figures
(5)
; References
(12)
; Tables
(6)
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Economics; Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Apr 30 1991 12:00AM
More Articles from this Serial Issue:
|