Wiki source code of 3.4 Public green space distribution
Version 1.1 by Emily West on 2022/01/14 16:16
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1.1 | 1 | = 3.4 Public green space distribution (applied and EO/RS) = |
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| 5 | |=(% style="width: 237px;" %)Pillar of Sustainable Development|=(% style="width: 646px;" %)Societal challenge | ||
| 6 | |(% style="width:237px" %)Planet|(% style="width:646px" %)1 - Climate Resilience | ||
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| 10 | ====== **Description** ====== | ||
| 11 | )))|(% style="width:730px" %)Measure of the distribution of public greenspace (total surface or per capita) and categories (i.e., street trees, residential gardens, school green areas, parks) using more applied and participatory approaches as an index to increase quality/quantity of green/blue existing, restored and new NBS with a high degree of multifunctionality (informed by ES Valuation e.g., includes cultural ES value, needs of residents, socio-economics etc) and adapted to the type of urban area (e.g., size of urban area/landscape structure). | ||
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| 13 | ====== **Scale as linked to D2.2 framework** ====== | ||
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| 15 | * National | ||
| 16 | * City | ||
| 17 | * Neighborhood | ||
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| 20 | ====== **Data source [ link to data framework]** ====== | ||
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| 22 | * Satellite imagery | ||
| 23 | * Census | ||
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| 26 | ====== **Data needs** ====== | ||
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| 28 | * Land use data derived from satellite imagery | ||
| 29 | * Basic population statistics by area including age and ethnicity. | ||
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| 32 | ====== **Expected Outputs** ====== | ||
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| 34 | * GIS data | ||
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| 37 | ====== **Calculation methods** ====== | ||
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| 39 | * A variety of methods exist from applied/public participation techniques through to earth observation/remote sensing approaches. For further details on measurement tools and metrics, including those adopted by past and current EU research and innovation projects, refer to Connecting Nature Indicator Metrics Reviews Env23_Applied and Env23_RS | ||
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| 42 | ====== **Links and references** ====== | ||
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| 44 | Applied Methods: | ||
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| 46 | * de la Barrera, F., Reyes-Paecke, S. and Banzhaf, E. (2016) Indicators for green spaces in contrasting urban settings. Ecological Indicators 62, 212-219. | ||
| 47 | * Mears, M and Brindley, P (2019) Measuring Urban Greenspace Distribution Equity: The Importance of Appropriate Methodological Approaches. ISPRS International Journal of Geo-Informatics 8, 286. | ||
| 48 | * Rall, E, Hansen, R and Pauleit, S (2019) The added value of public participation GIS (PPGIS) for urban green infrastructure planning. Urban Forestry & Urban Greening 40, 264-274. | ||
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| 50 | EO/RS methods: | ||
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| 52 | * Atiqul Haq SM. (2011) Urban green spaces and an integrative approach to sustainable environment. Journal of Environmental Protection.;2:601–608. 10.4236/jep.2011.25069 | ||
| 53 | * Badiu, D.L., Iojă, C.I., Pătroescu, M., Breuste, J., Artmann, M., Niță, M.R., Grădinaru, S.R., Hossu, C.A. and Onose, D.A. (2016) Is urban green space per capita a valuable target to achieve cities’ sustainability goals? Romania as a case study. Ecological indicators, 70: 53-66. | ||
| 54 | * Comber, A., Brunsdon, C., & Green, E. (2008) Using a GIS-based network analysis to determine urban green space accessibility for different ethnic and religious groups. Landscape and Urban Planning, 86(1): 103–114. | ||
| 55 | * Daniels B, Zaunbrecher BS, Paas B et al. (29018) Assessment of urban green space structures and their quality from a multidimensional perspective. Science of the Total Environment 615 (2018) 1364–1378. https:~/~/doi.org/10.1016/j.scitotenv.2017.09.167 | ||
| 56 | * Davies, Z.G., Edmondson, J.L., Heinemeyer, A., Leake, J.R. and Gaston, K.J. (2011) Mapping an urban ecosystem service: quantifying above‐ground carbon storage at a city‐wide scale. Journal of applied ecology, 48(5): 1125-1134. | ||
| 57 | * de la Barrera, F., Reyes-Paecke, S. and Banzhaf, E. (2016) Indicators for green spaces in contrasting urban settings. Ecological Indicators, 62: 212-219 | ||
| 58 | * Foster A, Dunham IM. (2015) Volunteered geographic information, urban forests, and environmental justice. Computers, Environment and Urban Systems.; 53:65–75. 10.1016/j.compenvurbsys.2014.08.001 | ||
| 59 | * Joseph, M., Wang, L. & Wang, F.H. (2012) Using Landsat Imagery and Census Data for Urban Population Density Modeling in Port-au-Prince, Haiti. GI Science & Remote Sensing, 49:2, 228-250. | ||
| 60 | * Le Texier M, Schiel K, Caruso J (2018) The provision of urban green space and its accessibility: Spatial data effects in Brussels. PLoS One 13(10): e0204684. doi: 10.1371/journal.pone.0204684 | ||
| 61 | * Mitchell R, Astell-Burt T, Richardson EA. (2011) A comparison of green space indicators for epidemiological research. Journal of Epidemiology and Community Health.;54(10):853–858 10.1136/jech.2010.119172 | ||
| 62 | * Nicholls S. Measuring the accessibility and equity of public parks: a case study using GIS. Managing Leisure. 2001;6(4):201–219. 10.1080/13606710110084651 | ||
| 63 | * Oh, K. and Jeong, S., 2007. Assessing the spatial distribution of urban parks using GIS. Landscape and urban planning, 82(1- 2): 25-32. | ||
| 64 | * Ren Z., He X., Zheng H., Zhang D., Yu X., Shen G., Guo R. Estimation of the Relationship between Urban Park Characteristics and Park Cool Island Intensity by Remote Sensing Data and Field Measurement. Forests. 2013;4:868– 886. doi: 10.3390/f4040868. | ||
| 65 | * Santos T, Tenedório JA, Gonçalves JA (2016) Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data. Sustainability 2016, 8, 1247; doi:10.3390/su8121247 | ||
| 66 | * Seiferling I, Naik N, Ratti C, Proulx R. (2017) Quantifying and mapping urban trees with street-level imagery and computer vision. Landscape and Urban Planning.;165:93–101 | ||
| 67 | * Taylor BT, Fernando P, Bauman AE, Williamson A, Craig JC, Redman S. (2011) Measuring the quality of public open space using Google Earth. American Journal of Preventive Medicine.;40(2):105–112. 10.1016/j.amepre.2010.10.024 | ||
| 68 | * Sister C, Wolch J, Wilson J. Got green? Addressing environmental justice in park provision. GeoJournal. 2010;75:229–248. 10.1007/s10708-009-9303-8 | ||
| 69 | * Van De Voorde T. (2016) Spatially explicit urban green indicators for characterizing vegetation cover and public green space proximity: a case study on Brussels, Belgium. International Journal of Digital Earth.;10(8):798–813. 10.1080/17538947.2016.1252434 | ||
| 70 | * Van Herzele A, Wiedemann T. A monitoring tool for the provision of accessible and attractive urban green spaces. Landscape and Urban Planning. 2003;63:109–126. 10.1016/S0169- 2046(02)00192-5 | ||
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