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      Urban green space and happiness in developed countries

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          Abstract

          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 km 2 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.

          Supplementary Information

          The online version contains supplementary material available at 10.1140/epjds/s13688-021-00278-7.

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                Author and article information

                Contributors
                wsjung@postech.ac.kr
                mcha@ibs.re.kr
                Journal
                EPJ Data Sci
                EPJ Data Sci
                Epj Data Science
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2193-1127
                30 May 2021
                30 May 2021
                2021
                : 10
                : 1
                : 28
                Affiliations
                [1 ]GRID grid.49100.3c, ISNI 0000 0001 0742 4007, Department of Physics, , Pohang University of Science and Technology, ; Pohang, 37673 Republic of Korea
                [2 ]GRID grid.419526.d, ISNI 0000 0000 9859 7917, Center for Humans and Machines, , Max Planck Institute for Human Development, ; Berlin, 14195 Germany
                [3 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Department of Geography, , National University of Singapore, ; Singapore, 119260 Singapore
                [4 ]GRID grid.260896.3, ISNI 0000 0001 2166 4955, Department of Informatics, , New Jersey Institute of Technology, ; Newark, NJ 07103 USA
                [5 ]GRID grid.49100.3c, ISNI 0000 0001 0742 4007, Department of Industrial and Management Engineering, , Pohang University of Science and Technology, ; Pohang, 37673 Republic of Korea
                [6 ]GRID grid.482264.e, ISNI 0000 0000 8644 9730, Asia Pacific Center for Theoretical Physics, ; Pohang, 37673 Republic of Korea
                [7 ]GRID grid.410720.0, ISNI 0000 0004 1784 4496, Data Science Group, , Institute for Basic Science, ; Daejeon, 34126 Republic of Korea
                [8 ]GRID grid.37172.30, ISNI 0000 0001 2292 0500, School of Computing, , Korea Advanced Institute of Science and Technology, ; Daejeon, 34141 Republic of Korea
                Author information
                http://orcid.org/0000-0003-2060-1340
                http://orcid.org/0000-0002-8069-6110
                http://orcid.org/0000-0002-9765-1218
                http://orcid.org/0000-0001-5583-4430
                http://orcid.org/0000-0001-9590-3859
                http://orcid.org/0000-0003-4085-9648
                Article
                278
                10.1140/epjds/s13688-021-00278-7
                8164893
                34094809
                37ce6776-0629-471d-be7f-59a90fb5967e
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 December 2020
                : 3 May 2021
                Funding
                Funded by: Institute for Basic Science
                Award ID: IBS-R029-C2
                Award Recipient :
                Categories
                Regular Article
                Custom metadata
                © The Author(s) 2021

                urban green space,happiness,satellite imagery,gis
                urban green space, happiness, satellite imagery, gis

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