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

被引:146
|
作者
Van den Bosch, Matilda Annerstedt [1 ]
Mudu, Pierpaolo [2 ]
Uscila, Valdas [3 ]
Barrdahl, Maria [4 ]
Kulinkina, Alexandra [5 ]
Staatsen, Brigit [6 ]
Swart, Wim [6 ]
Kruize, Hanneke [4 ]
Zurlyte, Ingrida [7 ]
Egorov, Andrey I. [2 ]
机构
[1] Swedish Univ Agr Sci, Dept Work Sci Business Econ & Environm Psychol, Box 88, S-23053 Alnarp, Sweden
[2] World Hlth Org, European Ctr Environm & Hlth, WHO Reg Off Europe, Bonn, Germany
[3] State Publ Hlth Serv, Minist Hlth, Vilnius, Lithuania
[4] Swedish Univ Agr Sci, Dept Landscape Architecture Planning & Management, Malmo, Sweden
[5] Tufts Univ, School Engn, Medford, MA 02155 USA
[6] Natl Inst Publ Hlth & Environm, Rijksinst Volksgezondheid & Milieu RIVM, Bilthoven, Netherlands
[7] Minist Hlth, Ctr Hlth Educ & Dis Prevent, Vilnius, Lithuania
关键词
Green spaces; indicator; parks; physical activity; public health; stress; urban life; urban planning; well-being; PHYSICAL-ACTIVITY; ACCESSIBILITY; INEQUALITIES; ENVIRONMENT; POPULATION; LANDSCAPES; COHORT;
D O I
10.1177/1403494815615444
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Aims: 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. 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 Malmo, 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. Results: Our results demonstrated that with increasing size of green space and decreased distance to green space, the indicator value decreased. As compared to Malmo 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. 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.
引用
收藏
页码:159 / 167
页数:9
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