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

Research output: Book/Report/Journal › Book

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 language	English
Place of Publication	Cham
Publisher	Springer
Number of pages	190
ISBN (Print)	978-3-319-90314-9
DOIs	https://doi.org/10.1007/978-3-319-90315-6
Publication status	Published - 1 Jan 2018

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	313
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-319-90315-6

Cite this

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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",

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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

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ER -

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

Abstract

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UN SDGs

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