IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v75y2015icp178-195.html
   My bibliography  Save this article

Air pollution dynamics and the need for temporally differentiated road pricing

Author

Listed:
  • Coria, Jessica
  • Bonilla, Jorge
  • Grundström, Maria
  • Pleijel, Håkan

Abstract

In this paper we investigate the effects of the temporal variation of pollution dispersion, traffic flows and vehicular emissions on pollution concentration and illustrate the need for temporally differentiated road pricing through an application to the case of the congestion charge in Stockholm, Sweden. By accounting explicitly for the role of pollution dispersion on optimal road pricing, we allow for a more comprehensive view of the economy–ecology interactions at stake, showing that price differentiation is an optimal response to the physical environment. Most congestion charges in place incorporate price bands to mitigate congestion. Our analysis indicates that, to ensure compliance with air quality standards, such price variations should also be a response to limited pollution dispersion.

Suggested Citation

  • Coria, Jessica & Bonilla, Jorge & Grundström, Maria & Pleijel, Håkan, 2015. "Air pollution dynamics and the need for temporally differentiated road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 178-195.
    • Handle: RePEc:eee:transa:v:75:y:2015:i:c:p:178-195
    DOI: 10.1016/j.tra.2015.03.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856415000464
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2015.03.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Eliasson, Jonas, 2009. "A cost-benefit analysis of the Stockholm congestion charging system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 468-480, May.
    2. Börjesson, Maria & Eliasson, Jonas & Hugosson, Muriel & Brundell-Freij, Karin, 2012. "The Stockholm congestion charges – five years on. Effects, acceptability and lessons learnt," Working papers in Transport Economics 2012:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    3. Lindsey, Robin, 2011. "State-dependent congestion pricing with reference-dependent preferences," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1501-1526.
    4. Johansson-Stenman, Olof, 2006. "Optimal environmental road pricing," Economics Letters, Elsevier, vol. 90(2), pages 225-229, February.
    5. Fredrik Carlsson & Olof Johansson-Stenman, 2000. "Willingness to pay for improved air quality in Sweden," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 661-669.
    6. Small, Kenneth A. & Yan, Jia, 2001. "The Value of "Value Pricing" of Roads: Second-Best Pricing and Product Differentiation," Journal of Urban Economics, Elsevier, vol. 49(2), pages 310-336, March.
    7. Eliasson, Jonas, 2008. "Lessons from the Stockholm congestion charging trial," Transport Policy, Elsevier, vol. 15(6), pages 395-404, November.
    8. Schuitema, Geertje & Steg, Linda & Forward, Sonja, 2010. "Explaining differences in acceptability before and acceptance after the implementation of a congestion charge in Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 99-109, February.
    9. Eliasson, Jonas & Hultkrantz, Lars & Nerhagen, Lena & Rosqvist, Lena Smidfelt, 2009. "The Stockholm congestion - charging trial 2006: Overview of effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 240-250, March.
    10. Karlström, Anders & Franklin, Joel P., 2009. "Behavioral adjustments and equity effects of congestion pricing: Analysis of morning commutes during the Stockholm Trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 283-296, March.
    11. Henrik Andersson & Lina Jonsson & Mikael Ögren, 2010. "Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 73-89, January.
    12. Hoel, Michael & Karp, Larry, 2002. "Taxes versus quotas for a stock pollutant," Resource and Energy Economics, Elsevier, vol. 24(4), pages 367-384, November.
    13. Eliasson, Jonas & Mattsson, Lars-Göran, 2006. "Equity effects of congestion pricing: Quantitative methodology and a case study for Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 602-620, August.
    14. Winslott-Hiselius, Lena & Brundell-Freij, Karin & Vagland, Asa & Byström, Camilla, 2009. "The development of public attitudes towards the Stockholm congestion trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 269-282, March.
    15. Malachy Carey & Ashok Srinivasan, 1993. "Externalities, Average and Marginal Costs, and Tolls on Congested Networks with Time-Varying Flows," Operations Research, INFORMS, vol. 41(1), pages 217-231, February.
    16. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    17. Chen, Linxi & Yang, Hai, 2012. "Managing congestion and emissions in road networks with tolls and rebates," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 933-948.
    18. Börjesson, Maria & Eliasson, Jonas & Hugosson, Muriel B. & Brundell-Freij, Karin, 2012. "The Stockholm congestion charges—5 years on. Effects, acceptability and lessons learnt," Transport Policy, Elsevier, vol. 20(C), pages 1-12.
    19. Wie, Byung-Wook & Tobin, Roger L., 1998. "Dynamic congestion pricing models for general traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 313-327, June.
    20. Gunnar Lindberg, 2001. "Traffic Insurance and Accident Externality Charges," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 399-416, September.
    21. Yildirim, Mehmet Bayram & Hearn, Donald W., 2005. "A first best toll pricing framework for variable demand traffic assignment problems," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 659-678, September.
    22. Chou, Yue-Hong, 1993. "A method for measuring the spatial concentration of airline travel demand," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 267-273, August.
    23. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun & Zhang, H. Michael, 2005. "Integrated scheduling of daily work activities and morning-evening commutes with bottleneck congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 41-60, January.
    24. Vijay S. Bawa, 1975. "On Optimal Pollution Control Policies," Management Science, INFORMS, vol. 21(12), pages 1397-1404, August.
    25. Parry, I. W. H., 2002. "Comparing the efficiency of alternative policies for reducing traffic congestion," Journal of Public Economics, Elsevier, vol. 85(3), pages 333-362, September.
    26. Alex Anas & Robin Lindsey, 2011. "Reducing Urban Road Transportation Externalities: Road Pricing in Theory and in Practice," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 66-88, Winter.
    27. Moslener, Ulf & Requate, Till, 2007. "Optimal abatement in dynamic multi-pollutant problems when pollutants can be complements or substitutes," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2293-2316, July.
    28. Eliasson, Jonas & Jonsson, Lina, 2011. "The unexpected "yes": Explanatory factors behind the positive attitudes to congestion charges in Stockholm," Transport Policy, Elsevier, vol. 18(4), pages 636-647, August.
    29. Ian W. H. Parry & Margaret Walls & Winston Harrington, 2007. "Automobile Externalities and Policies," Journal of Economic Literature, American Economic Association, vol. 45(2), pages 373-399, June.
    30. Bolduc, Denis & Bonin, Sylvie & Lee-Gosselin, Martin, 2013. "A disaggregated tool for evaluation of road safety policies," Research in Transportation Economics, Elsevier, vol. 37(1), pages 79-98.
    31. Erik T. Verhoef, 2000. "articles: The implementation of marginal external cost pricing in road transport Long run vs short run and first-best vs second-best," Papers in Regional Science, Springer;Regional Science Association International, vol. 79(3), pages 307-332.
    32. Eliasson, Jonas, 2014. "The role of attitude structures, direct experience and reframing for the success of congestion pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 81-95.
    33. Zhang, Xiaoning & Huang, Hai-Jun & Zhang, H.M., 2008. "Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 38-56, January.
    34. Coria, Jessica, 2011. "Environmental crises' regulations, tradable permits and the adoption of new technologies," Resource and Energy Economics, Elsevier, vol. 33(3), pages 455-476, September.
    35. Daniel, Joseph I. & Bekka, Khalid, 2000. "The Environmental Impact of Highway Congestion Pricing," Journal of Urban Economics, Elsevier, vol. 47(2), pages 180-215, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Hua & Zhao, De & Cai, Yutong & Meng, Qiang & Ong, Ghim Ping, 2021. "Taxi trajectory data based fast-charging facility planning for urban electric taxi systems," Applied Energy, Elsevier, vol. 286(C).
    2. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    3. Ackerschott, Adriana & Kohlhase, Esther & Vollmer, Anita & Hörisch, Jacob & von Wehrden, Henrik, 2023. "Steering of land use in the context of sustainable development: A systematic review of economic instruments," Land Use Policy, Elsevier, vol. 129(C).
    4. Vosough, Shaghayegh & de Palma, André & Lindsey, Robin, 2022. "Pricing vehicle emissions and congestion externalities using a dynamic traffic network simulator," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 1-24.
    5. De Vos, Jonas, 2016. "Road pricing in a polycentric urban region: Analysing a pilot project in Belgium," Transport Policy, Elsevier, vol. 52(C), pages 134-142.
    6. Tugce Pekdogan & Mihaela Tinca Udriștioiu & Silvia Puiu & Hasan Yildizhan & Martin Hruška, 2023. "A Multi-Country Statistical Analysis Covering Turkey, Slovakia, and Romania in an Educational Framework," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    7. Austin, Wes & Carattini, Stefano & Gomez-Mahecha, John & Pesko, Michael F., 2023. "The effects of contemporaneous air pollution on COVID-19 morbidity and mortality," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    8. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    9. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.
    10. Coria, Jessica & Zhang, Xiao-Bing, 2016. "Optimal Environmental Road Pricing and Integrated Daily Commuting Patterns," Working Papers in Economics 682, University of Gothenburg, Department of Economics.
    11. André de Palma & Shaghayegh Vosough & Robin Lindsey, 2020. "Pricing vehicle emissions and congestion using a dynamic traffic network simulator," THEMA Working Papers 2020-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    12. Fu, Shihe & Gu, Yizhen, 2017. "Highway toll and air pollution: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 32-49.
    13. Wes Austin & Stefano Carattini & John Gomez Mahecha & Michael Pesko, 2020. "COVID-19 Mortality and Contemporaneous Air Pollution," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper2016, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    14. Zhong, Shaopeng & Bushell, Max, 2017. "Impact of the built environment on the vehicle emission effects of road pricing policies: A simulation case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 235-249.
    15. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    16. Budak, Aysenur & Ustundag, Alp & Guloglu, Bulent, 2017. "A forecasting approach for truckload spot market pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 55-68.
    17. Schindler, Mirjam & Wang, Judith Y.T. & Connors, Richard D., 2021. "A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution," Journal of Transport Geography, Elsevier, vol. 93(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    2. Eliasson, Jonas, 2016. "Is congestion pricing fair? Consumer and citizen perspectives on equity effects," Transport Policy, Elsevier, vol. 52(C), pages 1-15.
    3. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    4. Eliasson, Jonas & Börjesson, Maria & van Amelsfort, Dirk & Brundell-Freij, Karin & Engelson, Leonid, 2013. "Accuracy of congestion pricing forecasts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 34-46.
    5. Börjesson, Maria & Kristoffersson, Ida, 2018. "The Swedish congestion charges: Ten years on," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 35-51.
    6. Naoko Kaida & Kosuke Kaida, 2015. "Spillover effect of congestion charging on pro-environmental behavior," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(3), pages 409-421, June.
    7. Vonk Noordegraaf, Diana & Annema, Jan Anne & van Wee, Bert, 2014. "Policy implementation lessons from six road pricing cases," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 172-191.
    8. De Vos, Jonas, 2016. "Road pricing in a polycentric urban region: Analysing a pilot project in Belgium," Transport Policy, Elsevier, vol. 52(C), pages 134-142.
    9. Hensher, David A. & Li, Zheng, 2013. "Referendum voting in road pricing reform: A review of the evidence," Transport Policy, Elsevier, vol. 25(C), pages 186-197.
    10. Omid M. Rouhani, 2016. "Next Generations of Road Pricing: Social Welfare Enhancing," Sustainability, MDPI, vol. 8(3), pages 1-15, March.
    11. Börjesson, Maria & Eliasson, Jonas & Hugosson, Muriel B. & Brundell-Freij, Karin, 2012. "The Stockholm congestion charges—5 years on. Effects, acceptability and lessons learnt," Transport Policy, Elsevier, vol. 20(C), pages 1-12.
    12. Jonas Westin, 2011. "Labor Market Effects of Road Pricing in a Population with Continuously Distributed Value of Time," ERSA conference papers ersa10p1458, European Regional Science Association.
    13. Qixiu Cheng & Zhiyuan Liu & Feifei Liu & Ruo Jia, 2017. "Urban dynamic congestion pricing: an overview and emerging research needs," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 3-18, August.
    14. Milenković, Marina & Glavić, Draženko & Maričić, Milica, 2019. "Determining factors affecting congestion pricing acceptability," Transport Policy, Elsevier, vol. 82(C), pages 58-74.
    15. Eliasson, Jonas, 2014. "The role of attitude structures, direct experience and reframing for the success of congestion pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 81-95.
    16. Farokhi, Farhad & Johansson, Karl H., 2015. "A piecewise-constant congestion taxing policy for repeated routing games," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 123-143.
    17. M. Rouhani, Omid, 2014. "Road pricing: An overview," MPRA Paper 59662, University Library of Munich, Germany.
    18. Hultkrantz, Lars & Liu, Xing, 2012. "Green cars sterilize congestion charges: A model analysis of the reduced impact of Stockholm road tolls," Transport Policy, Elsevier, vol. 21(C), pages 110-118.
    19. Börjesson, Maria & Eliasson, Jonas & Hamilton, Carl, 2016. "Why experience changes attitudes to congestion pricing: The case of Gothenburg," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 1-16.
    20. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.

    More about this item

    Keywords

    Air pollution; Road transportation; Road pricing; Assimilative capacity;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:75:y:2015:i:c:p:178-195. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.