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Urban green space and happiness in developed countries

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dc.contributor.authorKwon, Oh-Hyun-
dc.contributor.authorHong, Inho-
dc.contributor.authorYang, Jeasurk-
dc.contributor.authorWohn, Donghee Y.-
dc.contributor.authorJung, Woo-Sung-
dc.contributor.authorMeeyoung Cha-
dc.date.accessioned2021-07-29T05:50:01Z-
dc.date.accessioned2021-07-29T05:50:01Z-
dc.date.available2021-07-29T05:50:01Z-
dc.date.available2021-07-29T05:50:01Z-
dc.date.created2021-07-07-
dc.date.issued2021-05-30-
dc.identifier.issn2193-1127-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/10006-
dc.description.abstract© 2021, The Author(s).Urban green space is thought to contribute to citizen happiness by promoting physical and mental health. Nevertheless, how urban green space and happiness are related across many countries with different socioeconomic conditions has not been explored. By measuring the urban green space score (UGS) from high-resolution satellite imagery of 90 global cities covering 179,168 km2 and 230 million people in 60 developed countries, we find that the amount of urban green space and GDP are correlated with a nation’s happiness level. More specifically, urban green space and GDP are each individually associated with happiness. Yet, only urban green space is related to happiness in the 30 wealthiest countries, whereas GDP alone can explain happiness in the subsequent 30 countries in terms of wealth. We further show that the relationship between urban green space and happiness is mediated by social support and that GDP moderates this relationship. These findings corroborate the importance of maintaining urban green space as a place for social cohesion to support people’s happiness.-
dc.language영어-
dc.publisherSpringer Science and Business Media Deutschland GmbH-
dc.titleUrban green space and happiness in developed countries-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000656076000001-
dc.identifier.scopusid2-s2.0-85107057745-
dc.identifier.rimsid75970-
dc.contributor.affiliatedAuthorMeeyoung Cha-
dc.identifier.doi10.1140/epjds/s13688-021-00278-7-
dc.identifier.bibliographicCitationEPJ Data Science, v.10, no.1-
dc.relation.isPartOfEPJ Data Science-
dc.citation.titleEPJ Data Science-
dc.citation.volume10-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalResearchAreaMathematical Methods In Social Sciences-
dc.relation.journalWebOfScienceCategoryMathematics, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategorySocial Sciences, Mathematical Methods-
dc.subject.keywordPlusMENTAL-HEALTH-
dc.subject.keywordPlusVEGETATION INDEX-
dc.subject.keywordPlusEXPOSURE-
dc.subject.keywordPlusLIFE-
dc.subject.keywordPlusENVIRONMENTS-
dc.subject.keywordPlusSTRESS-
dc.subject.keywordPlusTREES-
dc.subject.keywordAuthorGIS-
dc.subject.keywordAuthorHappiness-
dc.subject.keywordAuthorSatellite imagery-
dc.subject.keywordAuthorUrban green space-
Appears in Collections:
Pioneer Research Center for Mathematical and Computational Sciences(수리 및 계산과학 연구단) > Data Science Group(데이터 사이언스 그룹) > 1. Journal Papers (저널논문)
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