An Integrated Model of Downtown Parking and Traffic Congestion

Richard Arnott and Eren Inci

No 608, Boston College Working Papers in Economics from Boston College Department of Economics

Abstract: This paper presents a downtown parking model that integrates traffic congestion and saturated on-street parking. We assume that the stock of cars cruising for parking adds to traffic congestion. Two major results come out from the model, one of which is robust. The robust one is that, whether or not the amount of on-street parking is optimal, it is efficient to raise the on-street parking fee to the point where cruising for parking is eliminated without parking becoming unsaturated. The other is that, if the parking fee is fixed at a sub-optimal level, it is second-best optimal to increase the amount of curbside allocated to parking until cruising for parking is eliminated without parking becoming unsaturated.

Keywords: traffic congestion; cruising for parking; on-street parking (search for similar items in EconPapers)
Pages: 32 pages
Date: 2005-02-01
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published, Journal of Urban Economics, 60, 418-442, 2006.

Downloads: (external link)
http://fmwww.bc.edu/EC-P/wp608.pdf main text (application/pdf)

Related works:
Journal Article: An integrated model of downtown parking and traffic congestion (2006)
Working Paper: An Integrated Model of Downtown Parking and Traffic Congestion (2005)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocoec:608

Access Statistics for this paper

More papers in Boston College Working Papers in Economics from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().