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A model for the evaluation of environmental impact indicators for a sustainable maritime transportation systems

  • Lizzette Pérez Lespier
  • Suzanna Long
  • Tom Shoberg
  • Steven Corns
Research Article
  • 2 Downloads

Abstract

Maritime shipping is considered the most efficient, low-cost means for transporting large quantities of freight over significant distances. However, this process also causes negative environmental and societal impacts. Therefore, environmental sustainability is a pressing issue for maritime shipping management, given the interest in addressing important issues that affect the safety, security, and air and water quality as part of the efficient movement of freight throughout the coasts and waterways and associated port facilities worldwide. In-depth studies of maritime transportation systems (MTS) can be used to identify key environmental impact indicators within the transportation system. This paper develops a tool for decision making in complex environments; this tool will quantify and rank preferred environmental impact indicators within a MTS. Such a model will help decision-makers to achieve the goals of improved environmental sustainability. The model will also provide environmental policymakers in the shipping industry with an analytical tool that can evaluate tradeoffs within the system and identify possible alternatives to mitigate detrimental effects on the environment.

Keywords

environmental sustainability maritime transportation system environmental impact indicators fuzzy 

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Notes

Acknowledgements

The authors acknowledge the funding from the Engineering Management & Systems Engineering Department at Missouri University of Science and Technology along with a special thanks to the US Geological Survey for partially funding this research through US Geological Survey award number G13AC00028.

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Copyright information

© Higher Education Press Limited Company 2019

Authors and Affiliations

  • Lizzette Pérez Lespier
    • 1
  • Suzanna Long
    • 2
  • Tom Shoberg
    • 3
  • Steven Corns
    • 2
  1. 1.Department of Analytics, Information Systems & Supply ChainUniversity of North Carolina WilmingtonWilmingtonUSA
  2. 2.Department of Engineering Management and Systems EngineeringMissouri University of Science and TechnologyRollaUSA
  3. 3.U.S. Geological SurveyCenter of Excellence for Geospatial Information ScienceRollaUSA

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