From data to decisions: empowering brownfield redevelopment with a novel decision support system

Hammond, Ellis B.; Coulon, Frederic; Hallett, Stephen H.; Thomas, Russell; Dick, Alistair; Hardy, Drew; Dickens, Mark; Washbourn, Emma; Beriro, Darren J.. 2023 From data to decisions: empowering brownfield redevelopment with a novel decision support system. Journal of Environmental Management, 347, 119145. https://doi.org/10.1016/j.jenvman.2023.119145

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Official URL: http://dx.doi.org/10.1016/j.jenvman.2023.119145

Abstract/Summary

This research evaluates a novel decision support system (DSS) for planning brownfield redevelopment. The DSS is implemented within a web-based geographical information system that contains the spatial data informing three modules comprising land use suitability, economic viability, and ground risk. Using multi-criteria decision analysis, an evaluation was conducted on 31,942 ha of post-industrial land and around Liverpool, UK. The representativeness and credibility of the DSS outputs were evaluated through user trials with fifteen land-use planning and development stakeholders from the Liverpool City Region Comined Authority. The DSS was used to explore land use planning scenarios and it could be used to support decision making. Our research reveals that the DSS has the potential to positively inform the identification of brownfield redevelopment opportunities by offering a reliable, carefully curated, and user-driven digital evidence base. This expedites the traditionally manual process of conducting assessments of land suitability and viability. This research has important implications for assessing the impact of current and future planning policy and the potential for the use of digital tools for land use planning and sustainability in the UK and globally.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.jenvman.2023.119145
ISSN:	03014797
Date made live:	07 Nov 2023 17:12 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536218

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.jenvman.2023.119145

ISSN:

03014797

Date made live:

07 Nov 2023 17:12 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/536218