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

Sebastian E. Guerrero, Samer M. 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 - Nov 2013

Keywords

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

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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