A Model for the Evaluation of Environmental Impact Indicators for a Sustainable Maritime Transportation System
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 policy-makers 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.
Recommended Citation
L. Perez-Lespier et al., "A Model for the Evaluation of Environmental Impact Indicators for a Sustainable Maritime Transportation System," Frontiers of Engineering Management, vol. 6, no. 3, pp. 368 - 383, Springer, Sep 2018.
The definitive version is available at https://doi.org/10.1007/s42524-019-0004-9
Department(s)
Engineering Management and Systems Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Environmental Sustainability; Maritime Transportation System; Environmental Impact Indicators; Fuzzy Analytic Hierarchy Process; Fuzzy TOPSIS; Decision-Making Tool
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 3.0 License.
Publication Date
01 Sep 2018
Comments
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.