Abstract

With limited capacity, space, and funds to expand parking facilities, there is a dire need to better understand parking behavior at university campuses so that universities can better utilize the limited resources available. One methodology, travel demand forecasting, could be used to predict parking demand at a university campus. For this study, the University of Texas at Tyler campus was used as a case study. Each parking lot on campus was assigned to one parking zone based on the nearest classroom building. Next, pneumatic tube counters were used to collect the number of originating and departing vehicles from each zone. Then, the course schedule and floor space data were used as predictors of parking demand. Finally, the origin-destination matrix was developed to predict the number of interzonal trips within the campus. At the completion of the study, universities may be able to better predict how changes to the course schedule will affect parking demand at each zone on a campus.

Date of publication

Summer 8-26-2021

Document Type

Thesis

Language

english

Persistent identifier

http://hdl.handle.net/10950/3768

Committee members

Dr. Matthew Vechione, Dr. Mena Souliman, Dr. Michael Gangone, Dr. Torey Nalbone

Degree

Masters of Science in Civil Engineering

Available for download on Sunday, August 27, 2023

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