Overview
The Green Infrastructure Areas for the Black Country (GIBC) data identifies green infrastructure, green infrastructure function (or ecosystem service) and pinch point mapping for the Black Country area which includes Wolverhampton, Walsall, Sandwell and Dudley.
The analysis was carried out in two stages and as a result of this, four datasets were produced:
‘GIBC 01 - Typology & Functionality OS’
‘GIBC 02 – Pinch Points OS’
‘GIBC 03 – Pinch Points Consortium Housing’
‘GIBC 04 – Pinch Points Housing Land Availability’
First Stage Processing
Ordnance Survey data was used as the base layer for all the processing. The first process produced the ‘GIBC 01 - Typology & Functionality OS’ dataset. This dataset is then subsequently used as a basis for the production of the second, third and fourth datasets during the second stage.
In the first stage each OS polygon was assigned a green infrastructure category based on the SPADES project from the list below.
Green Infrastructure Categories are:
Garden
Green corridor
Pocket park
Park or garden
Outdoor sports facility
Children’s play space
Youth area
Broadleaved woodland
Mixed woodland
Coniferous woodland
Natural and semi-natural open spaces
Pasture or meadow
Wetland
Watercourse
Fresh water body
Allotments
Orchard
Cemetery or churchyard
Open space around premises
Agricultural land
Road island/verge
Railway corridor
Abandoned, ruderal and derelict area
The OS polygon was then assigned “A function beneficial to people” dependent on the Green Infrastructure Category already assigned. The 26 categories that perform a “function beneficial to people” are:
Accessible water storage
Carbon storage
Community cohesion
Connection with local environment
Corridor for wildlife
Culture
Encouraging green travel
Evaporative cooling
Flow reduction through surface roughness
Habitat for wildlife
Heritage
Inaccessible water storage
Learning
Local food production
Pollination
Pollutant removal from soil/water
Providing jobs
Recreation - private
Recreation - public
Recreation - public with restrictions
Shading from the sun
Trapping air pollutants
Visual contribution to landscape character
Water conveyance
Water infiltration
Water interception
In its simplest form the process flow looks like this:
OS base layer → assigned green infrastructure → assigned function
(Eg - OS polygon → coniferous woodland → shading from the sun)
The first dataset, ‘GIBC 01 - Typology & Functionality OS’, therefore shows the following:
The green infrastructure category
The function beneficial to people
Shows areas of greatest need for this function.
Shows areas whereby the function has been met.
Shows areas whereby the function has not been met.
Second Stage Processing
The second stage expands on the first by establishing which areas suffer from stress associated with investment in growth and redevelopment of land. These areas are known as ‘pinch points’.
Wherever there is a high level of need for a particular function (identified in the first process), a potential ‘pinch point’ exists.
The pinch point categories that have been identified are:
Air Quality Pinch
Culture Pinch
Flooding Pinch
Heat Stress Pinch
Heritage Pinch
Local Community Pinch
Mental Health Pinch
Nature Pinch
Physical Activity Pinch
Recreation Pinch
Sustainable Travel Pinch
The second dataset, ‘GIBC 02 – Pinch Points OS’, takes the analysis from the first stage process and using the Ordnance Survey data as a base layer, displays the ‘pinch points’ analysis results.
The third dataset, ‘GIBC 03 – Pinch Points Consortium Housing’, takes the analysis from the first stage process and rather than using the OS as a base uses the Consortium Housing Site data instead to display ‘pinch points’.
The fourth dataset, ‘GIBC 04 – Pinch Points Housing Land Availability’, takes the analysis from the first stage process and rather than using the OS as a base used the Strategic Housing Land Availability data instead to display ‘pinch points’.
Conclusion
The ‘pinch point’ mapping can help identify particular areas of stress, which when used in conjunction with the green infrastructure and function mapping from the first stage process can be used to help alleviate those stresses.
The first round of the https://apply-for-innovation-funding.service.gov.uk/competition/888/overview" class="govuk-link">Clean Maritime Demonstration Competition (CDMC) launched in March 2021 and ended in March 2022. It allocated up to £23,259,000 funding to 55 projects across the UK to deliver feasibility studies and technology trials in clean maritime solutions. The projects comprised 208 partners from across the UK and represent a total investment of £33.5 million.
The https://apply-for-innovation-funding.service.gov.uk/competition/1190/overview" class="govuk-link">second round of the CMDC launched in May 2022 and ended in August 2023. It allocated £12 million funding to 31 projects to deliver feasibility studies and pre-deployment trials in innovative clean maritime solutions. The projects comprised 121 partners from across the UK and represent a total investment of £20.8 million.
The https://apply-for-innovation-funding.service.gov.uk/competition/1313/overview/d85ba3d5-5f6f-4caf-978a-c00c21069024" class="govuk-link">third round of the CMDC launched in September 2022 and ends in March 2025. It will allocate £60 million funding to 19 projects to deliver technology and system demonstrations in clean maritime solutions. The projects comprise 93 partners from across the UK and represent a total investment of £89.9 million.
The https://apply-for-innovation-funding.service.gov.uk/competition/1645/overview/3013bb72-ee5b-4fda-9baf-47da3910b144" class="govuk-link">fourth round of the CMDC launched in July 2023 and ends in March 2025. It will allocate £33 million for demonstrations, pre-deployment trials and feasibility studies in clean maritime solutions. The projects comprise 143 partners from across the UK and represent a total investment of £49.3 million.
The fifth round of the CMDC is the International Green Corridor Fund (IGCF). The IGCF was announced in September 2023 and has allocated funding for feasibility studies that examine green corridor routes between the UK and international partner countries between 2024 and 2025.
The sixth round of the CMDC was announced on 16 January 2025. It will allocate up to £30 million for pre-deployment trials and feasibility studies in clean maritime solutions between September 2025 and March 2026. It will maintain the momentum generated through the UK SHORE programme, supporting technologies to develop towards commercialisation. The competition will be open for applications from 24 January to 16 April 2025. More information on the competition scope, eligibility and how to apply is available on the competition page.
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Overview
The Green Infrastructure Areas for the Black Country (GIBC) data identifies green infrastructure, green infrastructure function (or ecosystem service) and pinch point mapping for the Black Country area which includes Wolverhampton, Walsall, Sandwell and Dudley.
The analysis was carried out in two stages and as a result of this, four datasets were produced:
‘GIBC 01 - Typology & Functionality OS’
‘GIBC 02 – Pinch Points OS’
‘GIBC 03 – Pinch Points Consortium Housing’
‘GIBC 04 – Pinch Points Housing Land Availability’
First Stage Processing
Ordnance Survey data was used as the base layer for all the processing. The first process produced the ‘GIBC 01 - Typology & Functionality OS’ dataset. This dataset is then subsequently used as a basis for the production of the second, third and fourth datasets during the second stage.
In the first stage each OS polygon was assigned a green infrastructure category based on the SPADES project from the list below.
Green Infrastructure Categories are:
Garden
Green corridor
Pocket park
Park or garden
Outdoor sports facility
Children’s play space
Youth area
Broadleaved woodland
Mixed woodland
Coniferous woodland
Natural and semi-natural open spaces
Pasture or meadow
Wetland
Watercourse
Fresh water body
Allotments
Orchard
Cemetery or churchyard
Open space around premises
Agricultural land
Road island/verge
Railway corridor
Abandoned, ruderal and derelict area
The OS polygon was then assigned “A function beneficial to people” dependent on the Green Infrastructure Category already assigned. The 26 categories that perform a “function beneficial to people” are:
Accessible water storage
Carbon storage
Community cohesion
Connection with local environment
Corridor for wildlife
Culture
Encouraging green travel
Evaporative cooling
Flow reduction through surface roughness
Habitat for wildlife
Heritage
Inaccessible water storage
Learning
Local food production
Pollination
Pollutant removal from soil/water
Providing jobs
Recreation - private
Recreation - public
Recreation - public with restrictions
Shading from the sun
Trapping air pollutants
Visual contribution to landscape character
Water conveyance
Water infiltration
Water interception
In its simplest form the process flow looks like this:
OS base layer → assigned green infrastructure → assigned function
(Eg - OS polygon → coniferous woodland → shading from the sun)
The first dataset, ‘GIBC 01 - Typology & Functionality OS’, therefore shows the following:
The green infrastructure category
The function beneficial to people
Shows areas of greatest need for this function.
Shows areas whereby the function has been met.
Shows areas whereby the function has not been met.
Second Stage Processing
The second stage expands on the first by establishing which areas suffer from stress associated with investment in growth and redevelopment of land. These areas are known as ‘pinch points’.
Wherever there is a high level of need for a particular function (identified in the first process), a potential ‘pinch point’ exists.
The pinch point categories that have been identified are:
Air Quality Pinch
Culture Pinch
Flooding Pinch
Heat Stress Pinch
Heritage Pinch
Local Community Pinch
Mental Health Pinch
Nature Pinch
Physical Activity Pinch
Recreation Pinch
Sustainable Travel Pinch
The second dataset, ‘GIBC 02 – Pinch Points OS’, takes the analysis from the first stage process and using the Ordnance Survey data as a base layer, displays the ‘pinch points’ analysis results.
The third dataset, ‘GIBC 03 – Pinch Points Consortium Housing’, takes the analysis from the first stage process and rather than using the OS as a base uses the Consortium Housing Site data instead to display ‘pinch points’.
The fourth dataset, ‘GIBC 04 – Pinch Points Housing Land Availability’, takes the analysis from the first stage process and rather than using the OS as a base used the Strategic Housing Land Availability data instead to display ‘pinch points’.
Conclusion
The ‘pinch point’ mapping can help identify particular areas of stress, which when used in conjunction with the green infrastructure and function mapping from the first stage process can be used to help alleviate those stresses.