Abstract

This is the post-print version of the final paper published in European Journal of Operational Research. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2009 Elsevier B.V. This study discusses a decision support framework that guides policy makers in their strategic transportation related decisions by using multi-methodology. For this purpose, a methodology for analyzing the effects of transportation policies on environment, society, economy, and energy is proposed. In the proposed methodology, a three-stage problem structuring model is developed. Initially, experts’ opinions are structured by using a cognitive map to determine the relationships between transportation and environmental concepts. Then a structural equation model (SEM) is constructed, based on the cognitive map, to quantify the relations among external transportation and environmental factors. Finally the results of the SEM model are used to evaluate the consequences of possible policies via scenario analysis. In this paper a pilot study that covers only one module of the whole framework, namely transportation–environment interaction module, is conducted to present the applicability and usefulness of the methodology. This pilot study also reveals the impacts of transportation policies on the environment. To achieve a sustainable transportation system, the extent of the relationships between transportation and the environment must be considered. The World Development Indicators developed by the World Bank are used for this purpose.


Original document

The different versions of the original document can be found in:

http://bura.brunel.ac.uk/handle/2438/8022,
http://dx.doi.org/10.1016/j.ejor.2009.01.023
https://api.elsevier.com/content/article/PII:S0377221709000368?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.ejor.2009.01.023 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://ideas.repec.org/a/eee/ejores/v200y2010i3p844-859.html,
https://core.ac.uk/display/19501120,
https://dblp.uni-trier.de/db/journals/eor/eor200.html#UlenginKSUA10,
https://doi.org/10.1016/j.ejor.2009.01.023,
https://bura.brunel.ac.uk/handle/2438/8022,
http://www.sciencedirect.com/science/article/pii/S0377221709000368,
https://academic.microsoft.com/#/detail/2140369721
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Published on 01/01/2010

Volume 2010, 2010
DOI: 10.1016/j.ejor.2009.01.023
Licence: Other

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