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Urban Green Space perception and its contribution to well-being
VerfasserKothencz, Gyula ; Kolcsár, Ronald ; Cabrera-Barona, Pablo ; Szilassi, Péter
Erschienen in
International Journal of Environmental Research and Public Health, Basel, 2017, Jg. 14, H. 7, S. 1-14
ErschienenMDPI, 2017
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)urban green spaces / perceived green space characteristics / perceived well-being benefits / quality of life / crowd-sourced geo-tagged data / questionnaire survey
URNurn:nbn:at:at-ubs:3-5615 Persistent Identifier (URN)
 Das Werk ist frei verfügbar
Urban Green Space perception and its contribution to well-being [5.78 mb]
Zusammenfassung (Englisch)

Individual perceptions are essential when evaluating the well-being benefits from urban green spaces. This study predicted the influence of perceived green space characteristics in the city of Szeged, Hungary, on two well-being variables: the green space visitors level of satisfaction and the self-reported quality of life. The applied logistic regression analysis used nine predictors: seven perceived green space characteristics from a questionnaire survey among visitors of five urban green spaces of Szeged; and the frequency of green space visitors crowd-sourced recreational running paths and photographs picturing green space aesthetics. Results revealed that perceived green space characteristics with direct well-being benefits were strong predictors of both dependent variables. Perceived green space characteristics with indirect, yet fundamental, well-being benefits, namely, regulating ecosystem services had minor influence on the dependent variables. The crowd-sourced geo-tagged data predicted only the perceived quality of life contributions; but revealed spatial patterns of recreational green space use and aesthetics. This study recommends that regulating ecosystem services should be planned with a focus on residents aesthetic and recreational needs. Further research on the combination of green space visitors perceptions and crowd-sourced geo-tagged data is suggested to promote planning for well-being and health benefits of urban green spaces.

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