Advancing the development and application of spatial decision support tools for the sustainable reuse of brownfield land

Lead Research Organisation: CRANFIELD UNIVERSITY
Department Name: School of Water, Energy and Environment

Abstract

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Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
NE/S007350/1 30/09/2019 29/09/2028
2276499 Studentship NE/S007350/1 30/09/2019 30/03/2023 Ellis Hammond
 
Description • Gaps for existing brownfield DSS are identified.
• UK brownfield sector stakeholder opinions and attitudes on digital tools and key brownfield issues are ascertained.
• Innovative digital tools were developed to support regional-scale land-use planning and brownfield redevelopment.
Exploitation Route The future development of fully-deployable brownfield DSS using the research findings as a framework
Sectors Construction

Digital/Communication/Information Technologies (including Software)

Environment

Transport

 
Description • Gaps for existing brownfield DSS are identified. • UK brownfield sector stakeholder opinions and attitudes on digital tools and key brownfield issues are ascertained. • Innovative digital tools were developed to support regional-scale land-use planning and brownfield redevelopment.
First Year Of Impact 2021
Sector Communities and Social Services/Policy,Construction,Digital/Communication/Information Technologies (including Software),Environment,Government, Democracy and Justice,Transport
Impact Types Policy & public services

 
Description Liverpool City Region Combined Authority use of digital planning tools
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Contribution to new or improved professional practice
Impact The way LCRCA think about using spatial data, and digital tools in operations, to supplement/support decision-making has been influenced and enabled by the research and use of research outputs.
 
Title GIS-MCDA method for determining land-use potential 
Description This GIS-MCDA model was developed with land-use planning stakeholders from a Combined Authority. Land-use Planning criteria are represented by spatial datasets and weighted using input from experts. 
Type Of Material Data analysis technique 
Year Produced 2023 
Provided To Others? Yes  
Impact Part of a decision support system being used by combined authority stakeholders to support land-use planning activities. 
 
Description Liverpool City Region Combined Authority Collaboration 
Organisation Liverpool City Region Combined Authority
Country United Kingdom 
Sector Public 
PI Contribution Stakeholder Engagement with LCRCA as part of user requirements for designing digital tools for sustainable land-use planning and brownfield redevelopment. - Interviews/semi-structured discussions to establish user personas, goals, and challenges with digital land-use planning and brownfields. Stakeholder Consultation workshop to identify links between land-use planning and GIS-MCDA methods/data sources - Comprehensive user testing of resulting digital tools to determine usability, and suitability for their operations - Ongoing application of the digital tool for use as part of an evidence base for land-use planning and policy decisions within the combined authority
Collaborator Contribution Supervisors and CASE partners involved in the collaboration
Impact Outcomes - Supported the development of PhD project outputs, and also influenced the way LCRCA think about using spatial data, and digital tools in to operations, to supplement/support decision-making.
Start Year 2021
 
Description UK Brownfield Sector Stakeholder Survey 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Distribution and write-up of an online questionnaire to UK brownfield professionals to understand the level of digitalisation in the sector and identify key challenge areas for brownfield redevelopment.
Year(s) Of Engagement Activity 2020,2021
URL https://www.sciencedirect.com/science/article/pii/S0301479722019661?pes=vor