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Determining the Impact of Personal Mobility Carbon Allowance Schemes in Transportation Networks

Author

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  • H. M. Abdul Aziz

    (Computational Sciences and Engineering Division, Oak Ridge National Laboratory)

  • Satish V. Ukkusuri

    (Purdue University)

  • Xianyuan Zhan

    (Purdue University)

Abstract

Personal mobility carbon allowance (PMCA) schemes are designed to reduce carbon consumption from transportation networks. PMCA schemes influence the travel decision process of users and accordingly impact the system metrics including travel time and greenhouse gas (GHG) emissions. We develop a multi-user class dynamic user equilibrium model to evaluate the transportation system performance when PMCA scheme is implemented. The results using Sioux-Falls test network indicate that PMCA schemes can achieve the emissions reduction goals for transportation networks. Further, users characterized by high value of travel time are found to be less sensitive to carbon budget in the context of work trips. Results also show that PMCA scheme can lead to higher emissions for a path compared with the case without PMCA because of flow redistribution. The developed network equilibrium model allows to examine the change in system states at different carbon allocation levels and to design parameters of PMCA schemes accounting for population heterogeneity.

Suggested Citation

  • H. M. Abdul Aziz & Satish V. Ukkusuri & Xianyuan Zhan, 2017. "Determining the Impact of Personal Mobility Carbon Allowance Schemes in Transportation Networks," Networks and Spatial Economics, Springer, vol. 17(2), pages 505-545, June.
    • Handle: RePEc:kap:netspa:v:17:y:2017:i:2:d:10.1007_s11067-016-9334-x
    DOI: 10.1007/s11067-016-9334-x
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    as
    1. Montgomery, W. David, 1972. "Markets in licenses and efficient pollution control programs," Journal of Economic Theory, Elsevier, vol. 5(3), pages 395-418, December.
    2. Stuart Bryce Capstick & Alan Lewis, 2010. "Effects of personal carbon allowances on decision-making: evidence from an experimental simulation," Climate Policy, Taylor & Francis Journals, vol. 10(4), pages 369-384, July.
    3. Tom Tietenberg, 2003. "The Tradable-Permits Approach to Protecting the Commons: Lessons for Climate Change," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(3), pages 400-419.
    4. Nie, Yu (Marco) & Yin, Yafeng, 2013. "Managing rush hour travel choices with tradable credit scheme," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 1-19.
    5. Athanasios K. Ziliaskopoulos, 2000. "A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem," Transportation Science, INFORMS, vol. 34(1), pages 37-49, February.
    6. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    7. Bristow, Abigail L. & Wardman, Mark & Zanni, Alberto M. & Chintakayala, Phani K., 2010. "Public acceptability of personal carbon trading and carbon tax," Ecological Economics, Elsevier, vol. 69(9), pages 1824-1837, July.
    8. Daganzo, Carlos F., 1995. "The cell transmission model, part II: Network traffic," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 79-93, April.
    9. Tina Fawcett & Yael Parag, 2010. "An introduction to personal carbon trading," Climate Policy, Taylor & Francis Journals, vol. 10(4), pages 329-338, July.
    10. Malachy Carey & Chandra Balijepalli & David Watling, 2015. "Extending the Cell Transmission Model to Multiple Lanes and Lane-Changing," Networks and Spatial Economics, Springer, vol. 15(3), pages 507-535, September.
    11. Han, Lanshan & Ukkusuri, Satish & Doan, Kien, 2011. "Complementarity formulations for the cell transmission model based dynamic user equilibrium with departure time choice, elastic demand and user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1749-1767.
    12. Rui Ma & Xuegang Ban & Jong-Shi Pang & Henry Liu, 2015. "Submission to the DTA2012 Special Issue: Approximating Time Delays in Solving Continuous-Time Dynamic User Equilibria," Networks and Spatial Economics, Springer, vol. 15(3), pages 443-463, September.
    13. Howell, Rachel A., 2012. "Living with a carbon allowance: The experiences of Carbon Rationing Action Groups and implications for policy," Energy Policy, Elsevier, vol. 41(C), pages 250-258.
    14. 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.
    15. Niemeier, D. & Gould, Gregory & Karner, Alex & Hixson, Mark & Bachmann, Brooke & Okma, Carrie & Lang, Ziv & Heres Del Valle, David, 2008. "Rethinking downstream regulation: California's opportunity to engage households in reducing greenhouse gases," Energy Policy, Elsevier, vol. 36(9), pages 3436-3447, September.
    16. Ukkusuri, Satish V. & Han, Lanshan & Doan, Kien, 2012. "Dynamic user equilibrium with a path based cell transmission model for general traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1657-1684.
    17. Fawcett, Tina, 2010. "Personal carbon trading: A policy ahead of its time?," Energy Policy, Elsevier, vol. 38(11), pages 6868-6876, November.
    18. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
    19. Yang, Hai & Huang, Hai-Jun, 2004. "The multi-class, multi-criteria traffic network equilibrium and systems optimum problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 1-15, January.
    20. Erik T. Verhoef & Kenneth A. Small, 2004. "Product Differentiation on Roads," Journal of Transport Economics and Policy, University of Bath, vol. 38(1), pages 127-156, January.
    21. Raux, Charles & Marlot, Grégoire, 2005. "A system of tradable CO2 permits applied to fuel consumption by motorists," Transport Policy, Elsevier, vol. 12(3), pages 255-265, May.
    22. Harwatt, Helen & Tight, Miles & Bristow, Abigail L. & Gühnemann, Astrid, 2011. "Personal carbon trading and fuel price increases in the transport sector: an exploratory study of public response in the UK," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 47, pages 47-70.
    23. Simon Dresner and Paul Ekins, 2004. "The Distributional Impacts of Economic Instruments to Limit Greenhouse Gas Emissions from Transport," PSI Research Discussion Series 19, Policy Studies Institute, UK.
    24. Kockelman, Kara M. & Kalmanje, Sukumar, 2005. "Credit-based congestion pricing: a policy proposal and the public's response," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 671-690.
    25. Gardner, Lauren M. & Duell, Melissa & Waller, S. Travis, 2013. "A framework for evaluating the role of electric vehicles in transportation network infrastructure under travel demand variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 76-90.
    26. Wadud, Zia, 2011. "Personal tradable carbon permits for road transport: Why, why not and who wins?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1052-1065.
    27. Ellerman,A. Denny & Joskow,Paul L. & Schmalensee,Richard & Montero,Juan-Pablo & Bailey,Elizabeth M., 2005. "Markets for Clean Air," Cambridge Books, Cambridge University Press, number 9780521023894, November.
      • Ellerman,A. Denny & Joskow,Paul L. & Schmalensee,Richard & Montero,Juan-Pablo & Bailey,Elizabeth M., 2000. "Markets for Clean Air," Cambridge Books, Cambridge University Press, number 9780521660839, November.
    28. Burtraw, Dallas, 2002. "Markets for clean air: the U.S. acid rain program: A. Denny Ellerman, Paul L. Joskow, Richard Schmalensee, Juan-Pablo Montero, Elizabeth M. Bailey, Cambridge, UK: Cambridge University Press, 2000," Regional Science and Urban Economics, Elsevier, vol. 32(1), pages 139-144, January.
    29. Nick Eyre, 2010. "Policing carbon: design and enforcement options for personal carbon trading," Climate Policy, Taylor & Francis Journals, vol. 10(4), pages 432-446, July.
    30. MERCHANT, Deepak K. & NEMHAUSER, George L., 1978. "A model and an algorithm for the dynamic traffic assignment problems," LIDAM Reprints CORE 346, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    31. E Verhoef & P Nijkamp & P Rietveld, 1997. "Tradeable Permits: Their Potential in the Regulation of Road Transport Externalities," Environment and Planning B, , vol. 24(4), pages 527-548, August.
    32. N. Nezamuddin & Stephen Boyles, 2015. "A Continuous DUE Algorithm Using the Link Transmission Model," Networks and Spatial Economics, Springer, vol. 15(3), pages 465-483, September.
    33. Deepak K. Merchant & George L. Nemhauser, 1978. "A Model and an Algorithm for the Dynamic Traffic Assignment Problems," Transportation Science, INFORMS, vol. 12(3), pages 183-199, August.
    Full references (including those not matched with items on IDEAS)

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