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Sustainability Evaluation of Transportation Policies: A Fuzzy-Based Method in a “What to” Analysis

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Soft Computing in Industrial Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 223))

Abstract

The widely debated concepts of sustainability and sustainable development represent nowadays an essential aspect in transportation studies, in particular for the analyses of interactions between transportation and land-use systems. In this paper the three-dimensional concept of sustainability (social, economic and environmental sustainability) is formalized by a Fuzzy-Based Evaluation Method, which has already been applied for evaluating the sustainability of alternative transportation policies. The method is tested as a tool to interpret the preferences expressed by the decision makers, to identify the most important characteristics of alternative transportation policies and to support the design of hypothetical transportation services, following a “What to” analysis.

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Authors and Affiliations

  1. Department of Civil, Architectural and Environmental Engineering, University of Padova, Via Marzolo 9, 35131, Padova, Italy

    Riccardo Rossi, Massimiliano Gastaldi & Gregorio Gecchele

Authors
  1. Riccardo Rossi
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  2. Massimiliano Gastaldi
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  3. Gregorio Gecchele
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Correspondence to Riccardo Rossi .

Editor information

Editors and Affiliations

  1. Department of Computer Science, VŠB-TUO Faculty of Electrical Eng. & Comp. Sci., Ostrava-Poruba, Czech Republic

    Václav Snášel

  2. Department of Computer Science, VŠB-TUO Faculty of Electrical Eng. & Comp. Sci., Ostrava-Poruba, Czech Republic

    Pavel Krömer

  3. Network Design and Research Center, Kyushu Institute of Technology, Fukuoka, Japan

    Mario Köppen

  4. Department of Computer Science, Loughborough University, Lougborough, United Kingdom

    Gerald Schaefer

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Rossi, R., Gastaldi, M., Gecchele, G. (2014). Sustainability Evaluation of Transportation Policies: A Fuzzy-Based Method in a “What to” Analysis. In: Snášel, V., Krömer, P., Köppen, M., Schaefer, G. (eds) Soft Computing in Industrial Applications. Advances in Intelligent Systems and Computing, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-319-00930-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-00930-8_28

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-00930-8

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