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SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System

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Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support (ICDSST 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 313))

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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 planning 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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Acknowledgements

The corresponding author is financially supported by the China Scholarship Council under grant number [201207720002]. We would like to thank for their support.

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Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, 5612AZ, The Netherlands

    Tong Wang, Qi Han & Bauke de Vries

Authors
  1. Tong Wang
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  2. Qi Han
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  3. Bauke de Vries
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Corresponding author

Correspondence to Tong Wang .

Editor information

Editors and Affiliations

  1. SimTech Simulation Technology, Graz, Austria

    Fatima Dargam

  2. Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece

    Pavlos Delias

  3. University of Namur, Namur, Belgium

    Isabelle Linden

  4. ULB, Brussels, Belgium

    Bertrand Mareschal

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Wang, T., Han, Q., de Vries, B. (2018). SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System. In: Dargam, F., Delias, P., Linden, I., Mareschal, B. (eds) Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. ICDSST 2018. Lecture Notes in Business Information Processing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-90315-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-90315-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90314-9

  • Online ISBN: 978-3-319-90315-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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