Reference : The provision of urban green space and its accessibility: Spatial data effects in Brussels
Scientific journals : Article
Social & behavioral sciences, psychology : Human geography & demography
Engineering, computing & technology : Multidisciplinary, general & others
Sustainable Development
http://hdl.handle.net/10993/36990
The provision of urban green space and its accessibility: Spatial data effects in Brussels
English
Le Texier, Marion [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE) > ; University Rouen Normandie, France > UMR CNRS 6266 IDEES, Department of Geography]
Schiel, Kerry mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE) >]
Caruso, Geoffrey mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE) > ; Luxembourg Institute of Socio-Economic Research - LISER]
17-Oct-2018
PLoS ONE
Public Library of Science
13
10
e0204684
Yes (verified by ORBilu)
International
1932-6203
San Franscisco
CA
[en] 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.
University of Luxembourg - UL
Researchers ; Professionals
http://hdl.handle.net/10993/36990
10.1371/journal.pone.0204684

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