British Geological Survey, Keyworth, Nottingham NG12 5GG, UK; School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK.
School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK.
Sci Total Environ. 2021 Sep 1;785:147132. doi: 10.1016/j.scitotenv.2021.147132. Epub 2021 Apr 16.
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.
在过去的二十年中，已经开发了许多决策支持系统（DSS）来支持决策者，并促进棕地的规划和再开发过程。然而，现有的系统往往在方法上是孤立的，并没有从可持续发展的角度充分捕捉棕地的复杂性。本批判性评论深入了解了 DSS 的开发和实施情况，包括已发布和新兴的系统，并评估了它们的优势、局限性以及未来整合的机会。棕地 DSS 的应用包括：修复技术选择；土地利用规划；风险评估。本评论的结果使作者确定了四个改进棕地 DSS 的机会：（i）增加定性社会经济标准的使用，特别是成本和经济变量；（ii）在棕地再开发的早期阶段提供决策支持；（iii）整合预测建模方法；（iv）改进用户界面和现代基于网络的功能。
