Spatial sorting,attitudes and the use of green space in Brussels |
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| Institution: | 1. Geospatial Research Institute, University of Canterbury, New Zealand;2. UMR 6266 IDEES, University of Rouen Normandie, France;3. University of Luxembourg and Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg;1. College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai 200092, China;2. School of Urban Design, Wuhan University, Wuhan 430072, China;3. HKUrbanLab, Faculty of Architecture, The University of Hong Kong, 4/F, Knowles Building, Pokfulam Road, Hong Kong;1. Independent Researcher, Slovenia;2. OPENspace Research Centre, Edinburgh College of Art, Lauriston Place, Edinburgh EH3 9DF, UK;1. School of Geographic Sciences, East China Normal University, Shanghai 200241, China;2. School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China;3. Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China;1. Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK;2. School of Psychology, University of Leeds, LS2 9JT, UK;3. Born in Bradford, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6RJ, UK;1. Laboratoire d’Economie Forestière, AgroParisTech, INRA, 54000, Nancy, France;2. Université de Lorraine, 34 cours Léopold CS 25233, 54052 Nancy Cedex, France |
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| Abstract: | Extensive evidence exists on the benefits provided by urban green space (UGS) but evidence is lacking about whether and how socio-economic benefits accrue to all residents or disproportionally depending on their socio-economic status or residential location. We model joint effects of socio-economic and locational attributes on attitudes and use of UGS in Brussels (BE). The analysis is based on a survey conducted along an urban–suburban continuum with respondents sampled across non-park public space. Patterns of use are depicted by the frequency and the distance travelled to the most used UGS. Attitudes are analyzed along three dimensions: willingness to (i) pay for UGS, (ii) trade off housing for green space and (iii) substitute private for public green. Our results stress the importance of separating effects of attitudes from socio-economic and locational effects to quantify UGS use, and suggest endogenous effects of green space with residential sorting. |
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| Keywords: | Urban green space Residential sorting Green space amenities Stated attitudes Brussels |
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