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Development of an urban green space indicator and the public health rationale.

Identifieur interne : 000045 ( PubMed/Curation ); précédent : 000044; suivant : 000046

Development of an urban green space indicator and the public health rationale.

Auteurs : Matilda Annerstedt Van Den Bosch [Suède] ; Pierpaolo Mudu [Allemagne] ; Valdas Uscila [Lituanie] ; Maria Barrdahl ; Alexandra Kulinkina [États-Unis] ; Brigit Staatsen [Pays-Bas] ; Wim Swart [Pays-Bas] ; Hanneke Kruize ; Ingrida Zurlyte [Lituanie] ; Andrey I. Egorov [Allemagne]

Source :

RBID : pubmed:26573907

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Abstract

In this study, the aim was to develop and test an urban green space indicator for public health, as proposed by the World Health Organisation (WHO) Regional Office for Europe, in order to support health and environmental policies.

DOI: 10.1177/1403494815615444
PubMed: 26573907

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pubmed:26573907

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Maria Barrdahl
<affiliation>
<nlm:affiliation>Department of Landscape Architecture, Planning and Management; Swedish University of Agricultural Sciences, Malmö; Sweden.</nlm:affiliation>
<wicri:noCountry code="subField">Malmö; Sweden</wicri:noCountry>
</affiliation>
Hanneke Kruize
<affiliation>
<nlm:affiliation>Department of Landscape Architecture, Planning and Management; Swedish University of Agricultural Sciences, Malmö; Sweden.</nlm:affiliation>
<wicri:noCountry code="subField">Malmö; Sweden</wicri:noCountry>
</affiliation>

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<name sortKey="Egorov, Andrey I" sort="Egorov, Andrey I" uniqKey="Egorov A" first="Andrey I" last="Egorov">Andrey I. Egorov</name>
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<name sortKey="Mudu, Pierpaolo" sort="Mudu, Pierpaolo" uniqKey="Mudu P" first="Pierpaolo" last="Mudu">Pierpaolo Mudu</name>
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<nlm:affiliation>World Health Organisation (WHO) European Centre for Environment and Health, WHO Regional Office for Europe, Bonn, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
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<name sortKey="Swart, Wim" sort="Swart, Wim" uniqKey="Swart W" first="Wim" last="Swart">Wim Swart</name>
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<nlm:affiliation>National Institute for Public Health and the Environment, Rijksinstituut voor Volksgezondheid en Milieu (RIVM), Bilthoven, the Netherlands.</nlm:affiliation>
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<nlm:affiliation>Department of Landscape Architecture, Planning and Management; Swedish University of Agricultural Sciences, Malmö; Sweden.</nlm:affiliation>
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<name sortKey="Zurlyte, Ingrida" sort="Zurlyte, Ingrida" uniqKey="Zurlyte I" first="Ingrida" last="Zurlyte">Ingrida Zurlyte</name>
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<nlm:affiliation>Center for Health Education and Disease Prevention, Ministry of Health, Vilnius, Lithuania.</nlm:affiliation>
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<name sortKey="Egorov, Andrey I" sort="Egorov, Andrey I" uniqKey="Egorov A" first="Andrey I" last="Egorov">Andrey I. Egorov</name>
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<nlm:affiliation>World Health Organisation (WHO) European Centre for Environment and Health, WHO Regional Office for Europe, Bonn, Germany.</nlm:affiliation>
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<term>Humans</term>
<term>Lithuania</term>
<term>Netherlands</term>
<term>Public Health (methods)</term>
<term>Residence Characteristics (statistics & numerical data)</term>
<term>Sweden</term>
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<div type="abstract" xml:lang="en">In this study, the aim was to develop and test an urban green space indicator for public health, as proposed by the World Health Organisation (WHO) Regional Office for Europe, in order to support health and environmental policies.</div>
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<AbstractText Label="AIMS" NlmCategory="OBJECTIVE">In this study, the aim was to develop and test an urban green space indicator for public health, as proposed by the World Health Organisation (WHO) Regional Office for Europe, in order to support health and environmental policies.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We defined the indicator of green space accessibility as a proportion of an urban population living within a certain distance from a green space boundary. We developed a Geographic Information System (GIS)-based method and tested it in three case studies in Malmö, Sweden; Kaunas, Lithuania; and Utrecht, The Netherlands. Land use data in GIS from the Urban Atlas were combined with population data. Various population data formats, maximum distances to green spaces, minimum sizes of green spaces, and different definitions of green spaces were studied or discussed.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Our results demonstrated that with increasing size of green space and decreased distance to green space, the indicator value decreased. As compared to Malmö and Utrecht, a relatively bigger proportion of the Kaunas population had access to large green spaces, at both shorter and longer distances. Our results also showed that applying the method of spatially aggregated population data was an acceptable alternative to using individual data.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Based on reviewing the literature and the case studies, a 300 m maximum linear distance to the boundary of urban green spaces of a minimum size of 1 hectare are recommended as the default options for the indicator. The indicator can serve as a proxy measure for assessing public accessibility to urban green spaces, to provide comparable data across Europe and stimulate policy actions that recognise the importance of green spaces for sustainable public health.</AbstractText>
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<Keyword MajorTopicYN="N">Green spaces</Keyword>
<Keyword MajorTopicYN="N">indicator</Keyword>
<Keyword MajorTopicYN="N">parks</Keyword>
<Keyword MajorTopicYN="N">physical activity</Keyword>
<Keyword MajorTopicYN="N">public health</Keyword>
<Keyword MajorTopicYN="N">stress</Keyword>
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