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

Fatima Dargam; Pavlos Delias; Isabelle Linden; Bertrand  Mareschal

doi:10.1007/978-3-319-90315-6

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/Revue › Livre

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 originale	Anglais
Lieu de publication	Cham
Editeur	Springer
Nombre de pages	190
ISBN (imprimé)	978-3-319-90314-9
Les DOIs	https://doi.org/10.1007/978-3-319-90315-6
Etat de la publication	Publié - 1 janv. 2018

Série de publications

Nom	Lecture Notes in Business Information Processing
Editeur	Springer
Volume	313
ISSN (imprimé)	1865-1348
ISSN (Electronique)	1865-1356

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

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10.1007/978-3-319-90315-6

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

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SDG des Nations Unies

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