A multilayer model to simulate cruising for parking in urban areas
Abstract
In this paper we propose an assignment model on urban networks to simulate parking choices; this model is able to simulate the impact of cruising for parking on traffic congestion. For simulating parking choice and estimating the impact of cruising on road congestion we propose a multi-layer network supply model, where each layer simulates a trip phase (on-car trip between the origin and destination zone, cruising for parking at destination zone and walking egress trip). In this model the cruising time is explicitly simulated on the network. The proposed model is tested on a trial network and on a real-scale network; numerical tests highlighted that the proposed model is able to simulate user parking choice behaviour and the impact of cruising for parking upon road congestion, particularly when the average parking saturation degrees exceed 0.7.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic Info
Article provided by Elsevier in its journal Transport Policy.
Volume (Year): 18 (2011)
Issue (Month): 5 (September)
Pages: 735-744
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description
Order Information:
Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
Web: https://shop.elsevier.com/order?id=30473&ref=30473_01_ooc_1&version=01
Related research
Keywords: Parking models Parking simulation Network models Traffic simulation;References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Richard Arnott & Eren Inci, 2005.
"An Integrated Model of Downtown Parking and Traffic Congestion,"
Boston College Working Papers in Economics
608, Boston College Department of Economics.
- Arnott, Richard & Inci, Eren, 2006. "An integrated model of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 60(3), pages 418-442, November.
- Richard Arnott & Eren Inci, 2005. "An Integrated Model of Downtown Parking and Traffic Congestion," NBER Working Papers 11118, National Bureau of Economic Research, Inc.
- Lam, William H.K. & Li, Zhi-Chun & Huang, Hai-Jun & Wong, S.C., 2006. "Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities," Transportation Research Part B: Methodological, Elsevier, vol. 40(5), pages 368-395, June.
- Edward Calthrop & Stef Proost, 2004.
"Regulating on-street parking,"
Energy, Transport and Environment Working Papers Series
ete0410, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
- Calthrop, Edward & Proost, Stef, 2006. "Regulating on-street parking," Regional Science and Urban Economics, Elsevier, vol. 36(1), pages 29-48, January.
- Edward Calthrop & Stef Proost, 2002. "Regulating on-street parking," Energy, Transport and Environment Working Papers Series ete0202, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
- Gallo, Mariano & D'Acierno, Luca & Montella, Bruno, 2010. "A meta-heuristic approach for solving the Urban Network Design Problem," European Journal of Operational Research, Elsevier, vol. 201(1), pages 144-157, February.
- Richard Arnott & John Rowse, 1997.
"Modeling Parking,"
Boston College Working Papers in Economics
350., Boston College Department of Economics.
- Arnott, Richard & Rowse, John, 1999. "Modeling Parking," Journal of Urban Economics, Elsevier, vol. 45(1), pages 97-124, January.
- Arnott, Richard & Rowse, John, 2009.
"Downtown parking in auto city,"
Regional Science and Urban Economics,
Elsevier, vol. 39(1), pages 1-14, January.
- Richard Arnott & John Rowse, 2007. "Downtown Parking in Auto City," Boston College Working Papers in Economics 665, Boston College Department of Economics.
- Tsamboulas, Dimitrios A., 2001. "Parking fare thresholds: a policy tool," Transport Policy, Elsevier, vol. 8(2), pages 115-124, April.
- Andrew Kelly, J. & Peter Clinch, J., 2006. "Influence of varied parking tariffs on parking occupancy levels by trip purpose," Transport Policy, Elsevier, vol. 13(6), pages 487-495, November.
- D'Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2006. "Optimisation models for the urban parking pricing problem," Transport Policy, Elsevier, vol. 13(1), pages 34-48, January.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:18:y:2011:i:5:p:735-744For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

