The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions |
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| Affiliation: | 1. Management Department, IESEG School of Management, Lille, France;2. Department of Management Science & Innovation, University College London, United Kingdom;3. Research Group ORSTAT, Faculty of Economics and Business, KU Leuven, Belgium;1. Bradford University School of Management, Emm Lane, Bradford BD9 4JL, UKn;2. Alliance Manchester Business School, University of Manchester, Booth St. West, Manchester M15 6PB, UK;1. Dipartimento di Matematica “Tullio Levi-Civita”, Università di Padova, via Trieste 63, 35124 Padova, Italy;2. Trans-Cel Autotrasporti, via L. Da Zara 33, 35020, Albignasego, Italy |
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| 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. |
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| Keywords: | Trucking Sector Optimization Model Trucking industry Life-cycle greenhouse gas emissions Vehicle replacement models GHG mitigation strategies |
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