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

Fatima Dargam (Editor), Pavlos Delias (Editor), Isabelle Linden (Editor), Bertrand Mareschal (Editor)

Research output: Book/Report/JournalBook

Abstract

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
Original languageEnglish
PublisherSpringer Verlag
Number of pages190
Volume313
ISBN (Print)978-3-319-90314-9
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume313
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

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redevelopment
decision support system
sustainability
decision
planning
library
land
industrial site
comparison
abandoned industrial site
plan

Cite this

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
Dargam, Fatima (Editor) ; Delias, Pavlos (Editor) ; Linden, Isabelle (Editor) ; Mareschal, Bertrand (Editor). / Decision Support Systems VIII : Sustainable Data-Driven and Evidence-Based Decision Support. Springer Verlag, 2018. 190 p. (Lecture Notes in Business Information Processing).
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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, vol. 313, Springer Verlag. https://doi.org/10.1007/978-3-319-90315-6

Decision Support Systems VIII : Sustainable Data-Driven and Evidence-Based Decision Support. / Dargam, Fatima (Editor); Delias, Pavlos (Editor); Linden, Isabelle (Editor); Mareschal, Bertrand (Editor).

Springer Verlag, 2018. 190 p. (Lecture Notes in Business Information Processing; Vol. 313).

Research output: Book/Report/JournalBook

TY - BOOK

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T2 - Sustainable Data-Driven and Evidence-Based Decision Support

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AB - 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

UR - http://link.springer.com/10.1007/978-3-319-90315-6

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DO - https://doi.org/10.1007/978-3-319-90315-6

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Dargam F, (ed.), Delias P, (ed.), Linden I, (ed.), Mareschal B, (ed.). Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. Springer Verlag, 2018. 190 p. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-319-90315-6