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The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions

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  • Guerrero, Sebastian E.
  • Madanat, Samer M.
  • Leachman, Robert C.

Abstract

In response to the growing Climate Change problem, governments around the world are seeking to reduce the greenhouse gas (GHG) emissions of trucking. The Trucking Sector Optimization (TSO) model is introduced as a tool for studying the decisions that shippers and carriers make throughout time (focusing on investments in Fuel Saving Technologies), and for evaluating their impact on life-cycle GHG emissions. A case study of fuel taxation in California is used to highlight the importance of (1) modeling the trucking sector comprehensively, (2) modeling the dynamics of the stock of vehicles, and (3) modeling different sources of emissions.

Suggested Citation

  • Guerrero, Sebastian E. & Madanat, Samer M. & Leachman, Robert C., 2013. "The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 85-107.
    • Handle: RePEc:eee:transe:v:59:y:2013:i:c:p:85-107
    DOI: 10.1016/j.tre.2013.08.005
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    1. Redmer, Adam, 2009. "Optimisation of the exploitation period of individual vehicles in freight transportation companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 978-987, November.
    2. Vernon, David & Meier, Alan, 2012. "Identification and quantification of principal–agent problems affecting energy efficiency investments and use decisions in the trucking industry," Energy Policy, Elsevier, vol. 49(C), pages 266-273.
    3. Kamakaté, Fatumata & Schipper, Lee, 2009. "Trends in truck freight energy use and carbon emissions in selected OECD countries from 1973 to 2005," Energy Policy, Elsevier, vol. 37(10), pages 3743-3751, October.
    4. Cynthia Chen & Jie (Jane) Lin, 2006. "Making an Informed Vehicle Scrappage Decision," Transport Reviews, Taylor & Francis Journals, vol. 26(6), pages 731-748, April.
    5. Nealer, Rachael & Matthews, H. Scott & Hendrickson, Chris, 2012. "Assessing the energy and greenhouse gas emissions mitigation effectiveness of potential US modal freight policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 588-601.
    6. Suzuki, Yoshinori & Pautsch, Gregory R., 2005. "A vehicle replacement policy for motor carriers in an unsteady economy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 463-480, June.
    7. Alan Greenspan & Darrel Cohen, 1999. "Motor Vehicle Stocks, Scrappage, And Sales," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 369-383, August.
    8. Jin, Di & Kite-Powell, Hauke L., 2000. "Optimal fleet utilization and replacement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 3-20, March.
    9. Parry, Ian W.H., 2008. "How should heavy-duty trucks be taxed?," Journal of Urban Economics, Elsevier, vol. 63(2), pages 651-668, March.
    10. Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
    11. Hartman, Joseph C., 2004. "Multiple asset replacement analysis under variable utilization and stochastic demand," European Journal of Operational Research, Elsevier, vol. 159(1), pages 145-165, November.
    12. Stasko, Timon H. & Oliver Gao, H., 2012. "Developing green fleet management strategies: Repair/retrofit/replacement decisions under environmental regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1216-1226.
    13. Vernon L. Smith, 1957. "Economic Equipment Policies: An Evaluation," Management Science, INFORMS, vol. 4(1), pages 20-37, October.
    14. Friedlaender, Ann F & Spady, Richard H, 1980. "A Derived Demand Function for Freight Transportation," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 432-441, August.
    15. Joseph Chow & Choon Yang & Amelia Regan, 2010. "State-of-the art of freight forecast modeling: lessons learned and the road ahead," Transportation, Springer, vol. 37(6), pages 1011-1030, November.
    16. Nejat Karabakal & Jack R. Lohmann & James C. Bean, 1994. "Parallel Replacement under Capital Rationing Constraints," Management Science, INFORMS, vol. 40(3), pages 305-319, March.
    17. Kenneth Gillingham & Richard G. Newell & Karen Palmer, 2009. "Energy Efficiency Economics and Policy," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 597-620, September.
    18. Karplus, Valerie J. & Paltsev, Sergey & Babiker, Mustafa & Reilly, John M., 2013. "Should a vehicle fuel economy standard be combined with an economy-wide greenhouse gas emissions constraint? Implications for energy and climate policy in the United States," Energy Economics, Elsevier, vol. 36(C), pages 322-333.
    19. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    20. David Hummels, 2007. "Transportation Costs and International Trade in the Second Era of Globalization," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 131-154, Summer.
    21. Madanat, S M & Prozzi, Jorge A & Han, Michael, 2002. "Effect of Performance Model Accuracy on Optimal Pavement Design," University of California Transportation Center, Working Papers qt42b5n5j6, University of California Transportation Center.
    22. Edward Calthrop & Bruno De Borger & Stef Proost, 2007. "Externalities And Partial Tax Reform: Does It Make Sense To Tax Road Freight (But Not Passenger) Transport?," Journal of Regional Science, Wiley Blackwell, vol. 47(4), pages 721-752, October.
    23. Kobbacy, K. A. H. & Nicol, S. D., 1994. "Sensitivity analysis of rent replacement models," International Journal of Production Economics, Elsevier, vol. 36(3), pages 267-279, October.
    24. Sathaye, Nakul & Horvath, Arpad & Madanat, Samer, 2010. "Unintended impacts of increased truck loads on pavement supply-chain emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 1-15, January.
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