Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Fatima Dargam (Editeur Scientifique), Pavlos Delias (Editeur Scientifique), Isabelle Linden (Editeur Scientifique), Bertrand Mareschal (Editeur Scientifique)

Résultats de recherche: Livre/Rapport/RevueLivre

Résumé

Abandoned industrial sites should be redeveloped in a sustainable way to reduce waste land. Planning support systems (PSSs) can help in the early plan‐ ning phase by presenting possible outcomes of various redevelopment scenarios to the planners. This paper presents a PSS to support sustainable industrial site redevelopment decision based on past experiences. Past experiences are recorded as cases in the system. Case-based reasoning (CBR) is applied. For sites needed to be redeveloped, similar redeveloped cases are retrieved from the case library. Strategies that the previous cases have applied are reviewed and the new site is designed based on the comparison study of new case and past experiences, together with the input from planners. Sustainability is dynamically evaluated on site and regional level. A showcase is presented for the system illustration
langue originaleAnglais
EditeurSpringer Verlag
Nombre de pages190
Volume313
ISBN (imprimé)978-3-319-90314-9
Les DOIs
Etat de la publicationPublié - 2018

Série de publications

NomLecture Notes in Business Information Processing
EditeurSpringer
Volume313
ISSN (imprimé)1865-1348
ISSN (Electronique)1865-1356

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  • Contient cette citation

    Dargam, F., Delias, P., Linden, I., & Mareschal, B. (eds.) (2018). Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. (Lecture Notes in Business Information Processing; Vol 313). Springer Verlag. https://doi.org/10.1007/978-3-319-90315-6