Technical Papers
Jan 14, 2023

Methodology to Determine Faculty and Staff Parking Permit Fees on University Campuses

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 4

Abstract

This article proposes a methodology to compute the annual parking permit fees for university employees on campuses. This methodology determines separate permit fees for faculty and staff for each parking zone. It first establishes the campus-wide base prices for employees, faculty, and staff parking permits. A tobit regression model, using the data from 213 universities across the United States, was developed to estimate the employee base price of a campus. The employee base price is then combined with the median salaries of faculty and staff, respectively, to derive the faculty and staff base prices. The methodology then assumes that the employees, faculty, and staff each have a constant value of parking access. For each zone, the annual value of parking access is the sum of the annual permit fee of the zone and the annual value of walking time from the zone to the subject’s workplace on campus. Knowing the average annual value of parking access and the average annual value of walking time from a zone, the average annual parking permit fee of the zone can be determined. The methodology is applied to a campus that has 41 employee parking zones in an example problem.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including the data from 213 universities used to develop the employee base price model.

Acknowledgments

This research is supported by Center for Transportation, Environment and Community Health (CTECH), a Tier 1 University Transportation Center funded by the US Department of Transportation (US Federal Government Contract 69A3551714119).

Disclaimer

The contents of this article reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. The US government assumes no liability for the contents or use thereof. The contents of this article do not reflect the parking policy of any university.

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 149Issue 4April 2023

History

Received: Dec 2, 2021
Accepted: Jul 4, 2022
Published online: Jan 14, 2023
Published in print: Apr 1, 2023
Discussion open until: Jun 14, 2023

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Authors

Affiliations

Rodrigo Garcia [email protected]
Graduate Student, Dept. of Civil Engineering, Univ. of Texas at El Paso, El Paso, TX 79902. Email: [email protected]
Assistant Research Scientist, Texas A&M Transportation Institute, El Paso, TX 79912. ORCID: https://orcid.org/0000-0002-4258-9445. Email: [email protected]
Professor, Dept. of Civil Engineering, Univ. of Texas at El Paso, El Paso, TX 79902 (corresponding author). ORCID: https://orcid.org/0000-0002-0791-2972. Email: [email protected]
Danielle Madrid [email protected]
Undergraduate Student, Dept. of Civil Engineering, Univ. of Texas at El Paso, El Paso, TX 79902. Email: [email protected]

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