The Trucking Sector Optimization Model

A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions

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

    Research output: Contribution to journalArticle

    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.

    Original languageEnglish (US)
    Pages (from-to)85-107
    Number of pages23
    JournalTransportation Research Part E: Logistics and Transportation Review
    Volume59
    DOIs
    StatePublished - Jan 1 2013

    Fingerprint

    optimization model
    Gas emissions
    Greenhouse gases
    Taxation
    Climate change
    Life cycle
    taxation
    life cycle
    climate change
    Modeling
    Greenhouse gas emissions
    Trucking
    Optimization model

    Keywords

    • GHG mitigation strategies
    • Life-cycle greenhouse gas emissions
    • Trucking industry
    • Trucking Sector Optimization Model
    • Vehicle replacement models

    ASJC Scopus subject areas

    • Business and International Management
    • Transportation
    • Management Science and Operations Research

    Cite this

    The Trucking Sector Optimization Model : A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions. / Guerrero, Sebastian E.; Madanat, Samer; Leachman, Robert C.

    In: Transportation Research Part E: Logistics and Transportation Review, Vol. 59, 01.01.2013, p. 85-107.

    Research output: Contribution to journalArticle

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