Technical Papers
Jul 3, 2018

Beyond Standard Zonal Congestion Pricing: A Detailed Impact Analysis

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 9

Abstract

This study formulates three fundamental extensions of the standard optimal road use analysis: (1) considering fuel and emissions as variable costs, (2) maximizing the social welfare inside and outside the congestion zone simultaneously, and (3) accounting for time-of-day travel demand variations. Using Fresno, California, as case study, I found several interesting results. (1) Although emissions costs are small relative to other variable travel costs, their impacts on the analysis are significant, especially during off-peak periods; for example, in the case study doubling emissions costs triples the optimal (although relatively small) welfare gain from a congestion charge. (2) Without spillover effects consideration, the analysis overestimates the optimal toll rate significantly and can even lead to a total social welfare loss, relative to no-charge conditions. (3) Policymakers should avoid applying a flat daily charge, which can even reduce system performance in off-peak hours.

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Acknowledgments

I would like to thank Robin Lindsey from the Sauder School of Business of the University of British Columbia for his insightful comments on the paper.

References

AEA Technology Environment. 2005. “Damages per tonne emission of PM2.5, NH3, SO2, NOx and VOCs from each EU25 member state and surrounding seas.” Accessed May 2018. https://www.scribd.com/document/59851359/Damages-Per-Tonne-Emission-of-Cafe-cba-externalities.
Akiyama, T., S. Mun, and M. Okushima. 2004. “Second-best congestion pricing in urban space: Cordon pricing and its alternatives.” Rev. Network Econ. 3 (4): 401–414. https://doi.org/10.2202/1446-9022.1061.
Bureau of Labor Statistics. 2007. “Consumer expenditure survey.” Accessed May 2018. www.bls.gov.
Daniel, J. I., and K. Bekka. 2000. “The environmental impact of highway congestion pricing.” J. Urban Econ. 47 (2): 180–215. https://doi.org/10.1006/juec.1999.2135.
de Palma, A., M. Kilani, and R. Lindsey. 2005a. “A comparison of second-best and third-best tolling schemes on a road network.” Transp. Res. Rec. 1932: 89–96. https://doi.org/10.3141/1932-11.
de Palma, A., M. Kilani, and R. Lindsey. 2005b. “Congestion pricing on a road network: A study using the dynamic equilibrium simulator METROPOLIS.” Transp. Res. Part A: Policy Pract. 39 (7–9): 588–611. https://doi.org/10.1016/j.tra.2005.02.018.
de Palma, A., and R. Lindsey. 2006. “Modelling and evaluation of road pricing in Paris.” Transport Policy 13 (2): 115–126. https://doi.org/10.1016/j.tranpol.2005.11.013.
de Palma, A., and R. Lindsey. 2011. “Traffic congestion pricing methodologies and technologies.” Transp. Res. Part C 19 (6): 1377–1399. https://doi.org/10.1016/j.trc.2011.02.010.
Eliasson, J. 2014. “The role of attitude structures, direct experience and reframing for the success of congestion pricing.” Transp. Res. Part A: Policy Pract. 67 (Sep): 81–95. https://doi.org/10.1016/j.tra.2014.06.007.
EMFAC. 2011. “EMFAC2011 web database.” Accessed May 2018. https://www.arb.ca.gov/emfac/2011/.
Fresno Council of Governments. 2012. “Fresno County transportation modeling.” Accessed May 2018. https://www.fresnocog.org/project/fresno-county-transportation-modeling/.
Fujishima, S. 2011. “The welfare effects of cordon pricing and area pricing simulation with a multi-regional general equilibrium model.” J. Transp. Econ. Policy 45 (3): 481–504.
Glaister, S., and D. Graham. 2003. Transport pricing and investment in England. London: Dept. of Civil Engineering.
Hamilton, J. 2011. “Revisiting the cost of the Stockholm congestion charging system.” Transp. Policy 18 (6): 836–847. https://doi.org/10.1016/j.tranpol.2011.05.004.
Kraus, M., H. Mohring, and T. Pinfold. 1976. “The welfare costs of nonoptimum pricing and investment policies for freeway transportation.” Am. Econ. Rev. 66 (4): 532–547.
Kristoffersson, I. 2013. “Impacts of time-varying cordon pricing: Validation and application of Mesoscopic model for Stockholm.” Transp. Policy 28 (Jul): 51–60. https://doi.org/10.1016/j.tranpol.2011.06.006.
Leape, J. 2006. “The London congestion charge.” J. Econ. Perspect. 20 (4): 157–176. https://doi.org/10.1257/jep.20.4.157.
Maruyama, T., and A. Sumalee. 2007. “Efficiency and equity comparison of cordon- and area-based road pricing schemes using a trip-chain equilibrium model.” Transp. Res. Part A: Policy Pract. 41 (7): 655–671. https://doi.org/10.1016/j.tra.2006.06.002.
May, A. D., R. Liu, S. P. Shepherd, and A. Sumalee. 2002. “The impact of cordon design on the performance of road pricing schemes.” Transp. Policy 9 (3): 209–220. https://doi.org/10.1016/S0967-070X(02)00031-8.
McCubbin, D. R., and M. A. Delucchi. 1999. “The health costs of motor-vehicle-related air pollution.” J. Transp. Econ. Policy 33 (3): 253–286.
McDonald, J. F., E. L. d’Ouville, and L. Nan Liu, eds. 1999. Economics of urban highway congestion and pricing. Boston: Kluwer.
Mun, S. I., K. Konishi, and K. Yoshikawa. 2003. “Optimal cordon pricing.” J. Urban Econ. 54 (1): 21–38. https://doi.org/10.1016/S0094-1190(03)00022-6.
Olszewski, P., and L. Xie. 2005. “Modelling the effects of road pricing on traffic in Singapore.” Transp. Res. Part A: Policy Pract. 39 (7–9): 755–772. https://doi.org/10.1016/j.tra.2005.02.015.
Parry, I. W. H., and A. M. Bento. 2002. “Estimating the welfare effect of congestion taxes: The critical importance of other distortions within the transport system.” J. Urban Econ. 51 (2): 339–365. https://doi.org/10.1006/juec.2001.2248.
Pigou, A. C. ed. 1920. The economics of welfare. London: Macmillan.
Prud’homme, R., and J. P. Bocarejo. 2005. “The London congestion charge: A tentative economic appraisal.” Transp. Policy 12 (3): 279–287. https://doi.org/10.1016/j.tranpol.2005.03.001.
Richardson, H., and C. C. Bae. 2008. Road congestion pricing in Europe: Implications for the United States. Cheltenham, UK: Edward Elgar.
Rouhani, O. M., C. R. Knittel, and D. Niemeier. 2014. “Road supply in London: Addition of an ignored social cost.” J. Transp. Res. Forum 53 (1): 49–64. https://doi.org/10.5399/osu/jtrf.53.1.4210.
Rouhani, O. M., and D. Niemeier. 2014a. “Flat versus spatially variable tolling: A case study of Fresno, California.” J. Transp. Geogr. 37: 10–18. https://doi.org/10.1016/j.jtrangeo.2014.03.017.
Rouhani, O. M., and D. Niemeier. 2014b. “Resolving the property right of transportation emissions through public-private partnerships.” Transp. Res. Part D 31: 48–60. https://doi.org/10.1016/j.trd.2014.05.018.
Rouhani, O. M., D. Niemeier, C. R. Knittel, and K. Madani. 2013. “Integrated modeling framework for leasing urban roads: A case study of Fresno, California.” Transp. Res. Part B 48: 17–30. https://doi.org/10.1016/j.trb.2012.10.005.
Safirova, E., K. Gillingham, W. Harrington, P. Nelson, and A. Lipman. 2005. “Choosing congestion pricing policy: Cordon tolls vs. link-based tolls.” Transp. Res. Rec. 1932: 169–177. https://doi.org/10.3141/1932-20.
Safirova, E., K. Gillingham, and S. Houde. 2007. “Measuring marginal congestion costs of urban transportation: Do networks matter?” Transp. Res. Part A: Policy Pract. 41 (8): 734–749. https://doi.org/10.1016/j.tra.2006.12.002.
Santos, G., and J. Bhaka. 2006. “The impact of the London congestion charging scheme on the generalised cost of car commuters to the city of London from a value of travel time savings perspective.” Transp. Policy 13 (1): 22–33. https://doi.org/10.1016/j.tranpol.2005.07.002.
Schrank, D., B. Eisele, and T. Lomax. 2012. “TTI’s 2012 urban mobility report—Fresno’ City mobility data.” Accessed May 2018. https://www.pagregion.com/Portals/0/documents/HumanServices/2012MobilityReport.pdf. Texas A&M Univ. System.
Sheffi, Y. 1984. Urban transportation networks: Equilibrium analysis with mathematical programming methods. Englewood Cliffs, NJ: Prentice-Hall.
Small, K. A., and E. Verhoef. 2007. The economics of urban transportation. London: Routledge.
Verhoef, E. 2007. “Second-best road pricing through highway franchising.” J. Urban Econ. 62 (2): 337–361. https://doi.org/10.1016/j.jue.2006.11.001.
Verhoef, E., P. Nijkamp, and P. Rietveld. 1996. “Second-best congestion pricing: The case of an untolled alternative.” J. Urban Econ. 40 (3): 279–302. https://doi.org/10.1006/juec.1996.0033.
Wang, M. Q., D. J. Santini, and S. A. Warinner. 1994. Methods of valuing air pollution and estimated monetary values of air pollutants in various US regions. Lemont, IL: Argonne National Laboratory.
Xie, L., and P. Olszewski. 2011. “Modelling the effects of road pricing on traffic using ERP traffic data.” Transp. Res. Part A: Policy Pract. 45 (6): 512–522. https://doi.org/10.1016/j.tra.2011.03.006.
Zhang, H. M., and Y. E. Ge. 2004. “Modeling variable demand equilibrium under second-best road pricing.” Transp. Res. Part B 38 (8): 733–749. https://doi.org/10.1016/j.trb.2003.12.001.
Zhang, L., and Y. Lu. 2013. “Marginal-cost vehicle mileage fee.” Transp. Res. Rec. 2297: 1–10. https://doi.org/10.3141/2297-01.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 144Issue 9September 2018

History

Received: Sep 14, 2016
Accepted: Jan 5, 2018
Published online: Jul 3, 2018
Published in print: Sep 1, 2018
Discussion open until: Dec 3, 2018

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Authors

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Omid M. Rouhani [email protected]
Assistant Professor, Dept. of Civil Engineering and Applied Mechanics, McGill Univ., 817 Sherbrooke St. West, Montreal, QC, Canada H3A 0C3. Email: [email protected]

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