Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-28T00:59:55.022Z Has data issue: false hasContentIssue false
  • English
  • Français

Cordon pricing in the monocentric city: theory and application to Paris region

Published online by Cambridge University Press:  09 January 2015

André de Palma ,
Moez Kilani ,
Michel De Lara  and
Serge Piperno
Get access

Summary

We propose a method to compute an equilibrium solution for the monocentric city model with traffic congestion, and to quantify the impact of cordon tolls on social surplus. The focus of this paper is on the comparison of road pricing of one and two cordons, with the no toll and first-best situations as benchmarks.

We find that a one-cordon toll yields a social efficiency of 63% with respect to first-best, and that an optimal two-cordon toll increases the efficiency to 73%. Both policies have a positive impact on C02 emissions because they reduce the average length of trips and reduce the road size.

Nous proposons un algorithme de résolution du modèle monocentrique de transport avec congestion et nous utilisons cet algorithme afin d'explorer l'impact du péage routier dans les zones urbaines. Plus particulièrement, on considère la région Île-de-France et on cherche à comparer le péage de cordon simple avec le péage de cordon double. Le cas de référence étant celui où il n'y a pas de péage (situation actuelle). On trouve que le cordon double permet d'atteindre un niveau d'efficience de 73 % (par rapport à l'optimum de premier rang) et donc une amélioration de près de 10 % par rapport au cordon simple. Les deux schémas contribuent à réduire les véhicules-kilomètres et donc les émissions de CO2. Nous discutons aussi la question de l'acceptabilité du péage où l'on montre une opposition relativement plus faible pour le cordon double.

Keywords

Monocentric modelCordon tollAcceptability of road pricingR21R41R48Modèle monocentriquepéage de cordonacceptabilité du péage routier urbainR21R41R48
Type
Research Article
Information
Recherches Économiques de Louvain/ Louvain Economic Review , Volume 77 , Issue 2-3 , September 2011 , pp. 105 - 124
Copyright
Copyright © Université catholique de Louvain, Institut de recherches économiques et sociales 2011 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

École Normale Supérieure de Cachan, 61 avenue du Président Wilson, Cachan 94230, France. Email: [email protected]

**

EQUIPPE, Université Charles de Gaulle - Lille 3, Maison de la recherche, domaine universitaire du Pont de Bois, 59653 Villeneuve d'Ascq, France. Email: [email protected]. Corresponding author.

***

Université Paris-Est, Cermics, Cité Descartes, Champs/Marne, 77455 Marne-la-Vallée Cedex 2, France. Emails: M. De Lara ([email protected]); S. Piperno ([email protected])

References

Anderson, S. P. & Renault, R. (2005), Tarification descriminante, in Palma, A. De & Quinet, E., eds, ‘La tarification des transports: enjeux et défis’, Economica, pp. 107–151.Google Scholar
Arnott, R., de Palma, A. & Lindsey, R. (1990), ‘The economics of the bottleneck’, Journal of Urban Economics 27, 111–130.Google Scholar
Blow, L., Leicester, A. & Smith, Z. (2003), London's congestion charge, Briefing notes 31, Institute for Fiscal Studies.Google Scholar
Brueckner, J. (2000), ‘Urban sprawl: Diagnosis and remedies”, International Regional Science Review 23, 160–179.Google Scholar
De Lara, M., De Palma, A., Kilani, M. & Piperno, S. (2008), Congestion pricing and long term urban form: application to Île-de-France, Discussion paper.Google Scholar
De Palma, A., Kilani, M. & Lindsey, R. (2005), ‘Congestion pricing on road network: A study using the dynamic equilibrium simulator metropolis’, Transportation Research A 39(7-9), 588–611.Google Scholar
De Palma, A. & Lindsey, R. (2006), ‘Modelling and evaluation of road pricing in Paris”, Transport Policy 13(2), 115–126.Google Scholar
De Palma, A., Lindsey, R. & Proost, S., eds (2007), Investment and use of tax and toll revenues in the transport sector, Research in Transportation Economics, Elsevier Ltd.Google Scholar
Fujita, M. (1989), Urban economic theory, Cambridge University Press.Google Scholar
Ho, H. W., Wong, S. C., Yang, H. & Loo, B. P. Y. (2005), ‘Cordon-based congestion pricing in a continuum traffic equilibrium system’, Transportation Research A 39, 813–834.Google Scholar
INSEE (2005), Compte déplacement de voyageurs en Île-de-France, Rapport d'actualisation pour l'année 2003.Google Scholar
Kanemoto, Y. (1977), ‘Cost-benefit analysis and the second-best land use for transportation’, Journal of Urban Economics 4, 483–503.Google Scholar
Laih, C.-H. (1994), ‘Queueing at a bottleneck with single-step tolls”, Transportation Research A 28(3), 197–208.Google Scholar
Laird, J., Nash, C. & Shepherd, S. (2007), ‘Cordon charges and the use of revenues: A case study in edinburgh”, Research in Transportation Economics 17, 161–187.Google Scholar
Leape, J. (2006), ‘The london congestion charge”, Journal of Economic Perspectives 20(4), 157–176.Google Scholar
Maruyama, T. & Sumalee, A. (2007), ‘Efficiency and equity comparison of cordon area-based road pricing schemes using trip chain equilibrium model’, Transportation Research A 41(7), 655–671.Google Scholar
Mieszkowski, P. & Mills, E. S. (1993), ‘The causes of metropolitan suburbanization’, Journal of Economic Perspectives 21, 135–147.Google Scholar
Mun, S., Konishi, K. & Yoshikawa, K. (2003), ‘Optimal cordon pricing’, Journal of Urban Economics 54, 21–38.Google Scholar
Pigou, A. C. (1932), The economics of welfare, Macmillan.Google Scholar
Pines, D. & Sadka, E. (1985), ‘Zoning, first-best, second-best and third-best criteria for allocating land to roads’, Journal of Urban Economics 17, 167–183.Google Scholar
Pottier, P., Salembier, L. & Francastel, S. (2007), Pôles d'emplois Franciliens, Report 287, INSEE.Google Scholar
Robson, A. J. (1976), ‘Cost-benefit analysis and the use of urban land for transportation”, Journal of Urban Economics 3(2), 180–191.Google Scholar
Safirova, E., Kellingham, K., Harrington, W. & Lipman, P. N. A. (2005), ‘Choosing congestion pricing policy: Cordon tolls versus link-based tolls’, Transportation Research Record (1932), 169–177.Google Scholar
Santos, G. & Fraser, G. (2006), ‘Road pricing: Lessons from London”, Economic Policy 21(46), 263–310.Google Scholar
Small, K. & Verhoef, E. (2007), The Economics of Urban Transportation, Routledge, London and New York.Google Scholar
Sumalee, A., May, T. & Shepherd, S. (2005), ‘Comparison of judgmental and optimal road pricing cordons’, Transport Policy 15(12), 384–390.Google Scholar
Transport for London (2006), Central London congestion charging: Impacts monitoring, Fourth annual report, Mayor of London.Google Scholar
Verhoef, E. T. (2005), ‘Second-best congestion pricing schemes in the monocentric city’, Journal of Urban Economics 58, 367–388.Google Scholar
Zhang, X. & Yang, H. (2004), ‘The optimal cordon-based network congestion pricing problem’, Transportation Research B 38(6), 517–537.Google Scholar