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A critical review of decision support systems for brownfield redevelopment.
Hammond, Ellis B; Coulon, Frederic; Hallett, Stephen H; Thomas, Russell; Hardy, Drew; Kingdon, Andrew; Beriro, Darren J.
Affiliation
  • Hammond EB; British Geological Survey, Keyworth, Nottingham NG12 5GG, UK; School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK.
  • Coulon F; School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK.
  • Hallett SH; School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK.
  • Thomas R; WSP, Kings Orchard, 1 Queen St, Bristol BS2 0HQ, UK.
  • Hardy D; Groundsure, Sovereign House, Church Street, Brighton BN1 1UJ, UK.
  • Kingdon A; British Geological Survey, Keyworth, Nottingham NG12 5GG, UK.
  • Beriro DJ; British Geological Survey, Keyworth, Nottingham NG12 5GG, UK. Electronic address: darrenb@bgs.ac.uk.
Sci Total Environ ; 785: 147132, 2021 Sep 01.
Article in En | MEDLINE | ID: mdl-33957586
Over the past two decades, many decision support systems (DSSs) have been developed to support decision makers and facilitate the planning and redevelopment process of brownfields. Existing systems are however often siloed in their approach and do not fully capture the complexity of brownfield sites from a sustainable development point of view. This critical review provides an insight into the development and implementation of DSSs, published and emerging, together with assessment of their strengths, limitations and opportunities for future integration. Brownfields DSS applications include: remediation technology selection; and land use planning; and risk assessment. The results of this review lead the authors to identify four opportunities to improve brownfield DSSs: (i) increased use of qualitative socioeconomic criteria, particularly costs and economic variables, (ii) decision-support during the early stages of brownfield redevelopment, (iii) the integration of predictive modelling methods, and (iv) improvements of user interfaces and modern web-based functionalities.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Sci Total Environ Year: 2021 Document type: Article Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Sci Total Environ Year: 2021 Document type: Article Country of publication: Netherlands