4.7 Review

A critical review of decision support systems for brownfield redevelopment

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 785, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.147132

Keywords

Decision analysis; Post-industrial land; Contaminated land; Sustainable development; Land-use planning

Funding

  1. UK Natural Environment Research Council through the CENTA Doctoral Training Partnership [NE/S007350/1]
  2. WSP UK Ltd
  3. Groundsure Ltd.
  4. NERC [bgs06004] Funding Source: UKRI

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This critical review examines the development of brownfield Decision Support Systems (DSSs) over the past two decades, highlighting opportunities for improvement such as the increased use of qualitative socioeconomic criteria and predictive modeling methods, as well as enhancements to user interfaces.
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. (c) 2021 British Geological Survey (C) UKRI. All Rights Reserved. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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