Research Article
Jul 1977
Pedestrian Volume Estimation by Land-Use Variables
Authors: Jahanbakhsh Behnam and Bharat G. PatelAuthor Affiliations
Publication: Transportation Engineering Journal of ASCE
Volume 103, Issue 4
Abstract
Although several studies have attempted to develop mathematical models for projection of pedestrian trips, no simple and direct model exists that could utilize land-use data for projection of pedestrian volume without considerable data collection efforts and expense. The primary objective of this study was to develop simple quantitative models by using land-use data to estimate pedestrian volume for the CBD sidewalks. The statistical multiple regression technique was used to develop two models for the CBD circulation. The first model was derived from noon-hour pedestrian volume and the second model was formulated from average hourly pedestrian volume by using eight land-use variables. The statistical evaluation of the models were made and the equations developed should provide accurate predictions of pedestrian volume. The models have utility in planning, traffic engineering, and design of pedestrian facilities.
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Published In
Transportation Engineering Journal of ASCE
Volume 103 • Issue 4 • July 1977
Pages: 507 - 520
Copyright
© 1977 American Society of Civil Engineers.
History
Published in print: Jul 1977
Published online: Feb 5, 2021
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Authors
Affiliations
Jahanbakhsh Behnam
Asst. Prof., Dept. of Civ. Engrg., Marquette Univ., Milwaukee, Wisc.
Bharat G. Patel
Civ. Engr., Spicer Engrg. Co., Saginaw, Mich.
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.