4.3 Publicly accessible green space connectivity
Project Name: URBAN GreenUP
| Pillar of Sustainable Development | Societal challenge |
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| Planet | 4 - Biodiversity Enhancement |
Description | This environmental (biological) indicator evaluates the increases of connectivity related to existing green infrastructures. The extent and spatial arrangement of accessible green space within each sub-demo area may have an important influence on public health and wellbeing; as well as having the potential to increase biodiversity. Vegetated areas provide cooling on hot days through evapotranspiration; and trees reduce radiant heat by shading, making public space and travelling routes more comfortable for people on days when temperatures in urban areas are high. This KPI will focus on public accessible greenspace, therefore residential gardens will not be considered here. |
Scale as linked to D2.2 framework | |
Data source [ link to data framework] | |
Data needs | - Land use maps e.g. CORINE
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Expected Outputs | |
Calculation methods | - GIS software e.g .QGIS or Arc.
- Typology map data representing areas of GI both before and after NBS GI interventions will be analysed using a Geographic Information System (GIS) to calculate change in each sub-demo area in a) the proportion of the sub demo area represented by GI, b) distance between areas of GI, and c) the number of street trees Use of GIS to calculate % change in the following parameters in each sub-demo area following NBS GI interventions:
- The extent of accessible GI. Calculate the proportion of the sub-demo area occupied by GI (select all GI types in typology layer except residential gardens) pre- and post- GI interventions.
- The distance between each accessible GI patch and its nearest accessible GI neighbour within the sub-demo area. If d is the nearest-neighbour (Euclidean) distance from accessible GI patch i to accessible GI patch j; calculate the mean nearest neighbour distance over all patches, both pre- and post-intervention (FRAGSTATS, 2015)
- The distance to the nearest accessible green infrastructure everywhere (for every raster cell) calculated using a raster nearest neighbour approach
- the number of street trees
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Links and references | - URBAN GreenUP KPI: Increased connectivity to existing green infrastructure
- URBAN GreenUP Deliverable D2.4 - Monitoring program to Valladolid. https://www.urbangreenup.eu/insights/deliverables/d2-4--- monitoring-program-to-valladolid.kl
- URBAN GreenUP Deliverable D3.4 - Monitoring program to Liverpool https://www.urbangreenup.eu/insights/deliverables/d3-4--- monitoring-program-to-liverpool.kl
- URBAN GreenUP Deliverable D4.4 – Monitoring program to Izmir https://www.urbangreenup.eu/insights/deliverables/d4-4-- monitoring-program-to-izmir.kl
- URBAN GreenUP Deliverable D5.3: City Diagnosis and Monitoring Procedures https://www.urbangreenup.eu/insights/deliverables/d5-3- city-diagnosis-and-monitoring-procedures.kl
- Data processing software:
- https://www.qgis.org/en/site/forusers/download.html#
- https://docs.qgis.org/2.18/en/docs/user_manual/ ://plugins.qgis.org/plugins/LecoS/
- http://www.umass.edu/landeco/research/fragstats/fragstats.html.
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Revisions
| Version | Name | Date | Changes made |
| 0.1 | Name (Organisation) | 05/01/2022 | [changes made in this edit] |
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