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
This CASE PhD studentship is intended to produce a major step forward for the sustainable reuse of brownfield land by developing innovative spatial decision-support tools using multi-criteria decision analysis (MCDA) methods. Tools will be trialled and developed to quantify sub-surface constraints including soil and groundwater contamination and land instability. New approaches to spatial decision-making for brownfield redevelopment will be produced by working with end-users including WSP and Groundsure Ltd., (CASE partners) and Homes England (Industry Advisor). Example applications include estimating soil and groundwater remediation costs for large urban areas, site-based maps of the geotechnical properties of soil and their suitability for certain types of building foundations and multi-hazard constraints mapping. Common to each is the spatial data processing and which algorithms are selected to describe relationships between the datasets and the problem being evaluated - this is MCDA and where the scientific challenge lies. The student will work with industry, government and academia to co-design, co-develop and co-deliver innovative spatial decision support tools to solve current challenges facing the widespread reuse of brownfield land. Project outputs will be directly applicable to the UK but also provide significant export opportunities, especially for official development assistance countries. Further details available at: http://www.centa.org.uk/themes/climate-environmental-sustainability/bgs1/
People |
ORCID iD |
Frederic Coulon (Primary Supervisor) | |
Ellis Hammond (Student) |
Publications
Hammond EB
(2023)
Digital tools for brownfield redevelopment: Stakeholder perspectives and opportunities.
in Journal of environmental management
Hammond EB
(2021)
A critical review of decision support systems for brownfield redevelopment.
in The Science of the total environment
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 |