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GIS-Based Multicriteria Evaluation Approach for Corridor Siting

Author

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  • Hassène Aissi

    (LAMSADE, Université Paris-Dauphine, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France)

  • Salem Chakhar

    (Université Paris-Dauphine, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France)

  • Vincent Mousseau

    (Laboratoire de Génie Industriel Grande, École Centrale Paris, Grande Voie des Vignes, 92295 Châtenay-Malabry Cedex, France)

Abstract

Siting a linear facility such as a highway or a pipeline often requires a preliminary study in which one or several corridors are identified. Here we construct corridors as a collection of adjacent polygons specifying a ‘path’ from origin s to destination t . Formally, we make use of a graph, called the connectivity graph, in which vertices correspond to polygons and edges to adjacent polygons. Within this formal representation, a corridor corresponds to an s to t path in the connectivity graph. The corridors are evaluated on two criteria: (1) a quantitative criterion measuring the length of the corridor, and (2) a qualitative criterion measuring the quality of the corridor with respect to the suitability of crossing its component polygons. We first introduce a three-phase approach based on a coupling between a geographical information system (GIS) and multicriteria evaluation and devoted to handling biobjective corridor siting problems. Then, the proposed approach is validated through an example of a real-world application.

Suggested Citation

  • Hassène Aissi & Salem Chakhar & Vincent Mousseau, 2012. "GIS-Based Multicriteria Evaluation Approach for Corridor Siting," Environment and Planning B, , vol. 39(2), pages 287-307, April.
    • Handle: RePEc:sae:envirb:v:39:y:2012:i:2:p:287-307
    DOI: 10.1068/b37085
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    References listed on IDEAS

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    1. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
    2. Jacek Malczewski, 2010. "Multiple Criteria Decision Analysis and Geographic Information Systems," International Series in Operations Research & Management Science, in: Matthias Ehrgott & José Rui Figueira & Salvatore Greco (ed.), Trends in Multiple Criteria Decision Analysis, chapter 0, pages 369-395, Springer.
    3. Dias, Luis & Mousseau, Vincent & Figueira, Jose & Climaco, Joao, 2002. "An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI," European Journal of Operational Research, Elsevier, vol. 138(2), pages 332-348, April.
    4. LaRue, Michelle A. & Nielsen, Clayton K., 2008. "Modelling potential dispersal corridors for cougars in midwestern North America using least-cost path methods," Ecological Modelling, Elsevier, vol. 212(3), pages 372-381.
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    Cited by:

    1. Hu, Qiwei & Chakhar, Salem & Siraj, Sajid & Labib, Ashraf, 2017. "Spare parts classification in industrial manufacturing using the dominance-based rough set approach," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1136-1163.

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