A Probabilistic Analysis of Two University Parking Issues

RIT Economics Department Working Paper No. 08-05

17 Pages Posted: 12 Apr 2008

See all articles by Amitrajeet A. Batabyal

Amitrajeet A. Batabyal

Rochester Institute of Technology (RIT) - Department of Economics

Peter Nijkamp

VU University of Amsterdam - Department of Spatial Economics; Tinbergen Institute

Multiple version iconThere are 2 versions of this paper

Date Written: April 2008

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.

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

JEL Classification: R410, R480, D810

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: https://ssrn.com/abstract=1119372 or http://dx.doi.org/10.2139/ssrn.1119372

Amitrajeet A. Batabyal (Contact Author)

Rochester Institute of Technology (RIT) - Department of Economics ( email )

92 Lomb Memorial Drive
Rochester, NY 14623-5604
United States
585-475-2805 (Phone)
585-475-5777 (Fax)

HOME PAGE: http://people.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

Gustav Mahlerplein 117
Amsterdam, 1082 MS
Netherlands

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
223
Abstract Views
1,580
rank
149,943
PlumX Metrics