The provision of urban green space and its accessibility: Spatial data effects in Brussels.
Urban green space (UGS) has many environmental and social benefits. UGS provision and access are increasingly considered in urban policies and must rely on data and indicators that can capture variations in the distribution of UGS within cities. There is no consensus about how UGS, and their provisi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC6192568?pdf=render |
| _version_ | 1818028916041842688 |
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| author | Marion Le Texier Kerry Schiel Geoffrey Caruso |
| author_facet | Marion Le Texier Kerry Schiel Geoffrey Caruso |
| author_sort | Marion Le Texier |
| collection | DOAJ |
| description | Urban green space (UGS) has many environmental and social benefits. UGS provision and access are increasingly considered in urban policies and must rely on data and indicators that can capture variations in the distribution of UGS within cities. There is no consensus about how UGS, and their provision and access, must be defined from different land use data types. Here we identify four spatial dimensions of UGS and critically examine how different data sources affect these dimensions and our understanding of their variation within a city region (Brussels). We compare UGS indicators measured from an imagery source (NDVI from Landsat), an official cadastre-based map, and the voluntary geographical information provided by OpenStreetMap (OSM). We compare aggregate values of provision and access to UGS as well as their spatial distribution along a centrality gradient and at neighbourhood scale. We find that there are strong differences in the value of indicators when using the different datasets, especially due to their ability to capture private and public green space. However we find that the interpretation of intra-urban spatial variations is not affected by changes in data source. Centrality in particular is a strong determinant of the relative values of UGS availability, fragmentation and accessibility, irrespective of datasets. |
| first_indexed | 2024-12-10T05:11:23Z |
| format | Article |
| id | doaj.art-077f0750e78146d3b56404f5aa401341 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T05:11:23Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-077f0750e78146d3b56404f5aa4013412022-12-22T02:01:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011310e020468410.1371/journal.pone.0204684The provision of urban green space and its accessibility: Spatial data effects in Brussels.Marion Le TexierKerry SchielGeoffrey CarusoUrban green space (UGS) has many environmental and social benefits. UGS provision and access are increasingly considered in urban policies and must rely on data and indicators that can capture variations in the distribution of UGS within cities. There is no consensus about how UGS, and their provision and access, must be defined from different land use data types. Here we identify four spatial dimensions of UGS and critically examine how different data sources affect these dimensions and our understanding of their variation within a city region (Brussels). We compare UGS indicators measured from an imagery source (NDVI from Landsat), an official cadastre-based map, and the voluntary geographical information provided by OpenStreetMap (OSM). We compare aggregate values of provision and access to UGS as well as their spatial distribution along a centrality gradient and at neighbourhood scale. We find that there are strong differences in the value of indicators when using the different datasets, especially due to their ability to capture private and public green space. However we find that the interpretation of intra-urban spatial variations is not affected by changes in data source. Centrality in particular is a strong determinant of the relative values of UGS availability, fragmentation and accessibility, irrespective of datasets.http://europepmc.org/articles/PMC6192568?pdf=render |
| spellingShingle | Marion Le Texier Kerry Schiel Geoffrey Caruso The provision of urban green space and its accessibility: Spatial data effects in Brussels. PLoS ONE |
| title | The provision of urban green space and its accessibility: Spatial data effects in Brussels. |
| title_full | The provision of urban green space and its accessibility: Spatial data effects in Brussels. |
| title_fullStr | The provision of urban green space and its accessibility: Spatial data effects in Brussels. |
| title_full_unstemmed | The provision of urban green space and its accessibility: Spatial data effects in Brussels. |
| title_short | The provision of urban green space and its accessibility: Spatial data effects in Brussels. |
| title_sort | provision of urban green space and its accessibility spatial data effects in brussels |
| url | http://europepmc.org/articles/PMC6192568?pdf=render |
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