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A Probabilistic Analysis of Two University Parking Issues


Amitrajeet A. Batabyal


Rochester Institute of Technology

Peter Nijkamp


VU University of Amsterdam - Department of Spatial Economics; Tinbergen Institute - Tinbergen Institute Amsterdam (TIA)

April 2008

RIT Economics Department Working Paper No. 08-05

Abstract:     
The uncertain nature of the demand for university parking has now created a major problem for university planners. From a facilities planning perspective, it is important to comprehend the probabilistic nature of the demand for parking and parking rules violations. Given this background, in our note, we shed light on two insufficiently studied issues concerning university parking. First, we focus on short-term and long-term parkers. We determine the mean parking time of an arriving car and then we compute the probability distribution function of the number of occupied parking spots at any particular time. Second, we concentrate on parking rules violators and we calculate the probability distribution function of the number of violators who are fined at an inspection.

Number of Pages in PDF File: 17

Keywords: Long-Term Parking, Short-Term Parking, University, Violator

JEL Classification: R410, R480, D810

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Date posted: April 12, 2008  

Suggested Citation

Batabyal, Amitrajeet A. and Nijkamp, Peter, A Probabilistic Analysis of Two University Parking Issues (April 2008). RIT Economics Department Working Paper No. 08-05. Available at SSRN: http://ssrn.com/abstract=1119372 or http://dx.doi.org/10.2139/ssrn.1119372

Contact Information

Amitrajeet A. Batabyal (Contact Author)
Rochester Institute of Technology ( email )
92 Lomb Memorial Drive
Rochester, NY 14623-5604
United States
585-475-2805 (Phone)
585-475-5777 (Fax)
HOME PAGE: http://www.rit.edu/~aabgsh/
Peter Nijkamp
VU University of Amsterdam - Department of Spatial Economics ( email )
De Boelelaan 1105
1081HV Amsterdam
Netherlands
+31 20 4446091 (Phone)
+31 20 4445611 (Fax)
Tinbergen Institute - Tinbergen Institute Amsterdam (TIA)
Gustav Mahlerplein 117
Amsterdam, 1082 MS
Netherlands
Feedback to SSRN (Beta)


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