주요메뉴 바로가기 본문 바로가기

주메뉴

IBS Conferences

Urban green spaces bring happiness when money can't buy it anymore

High-resolution satellite imagery data unveiled a global correlation between urban green spaces and happiness in 60 countries

Urban green spaces, such as parks, backyards, riverbanks, and urban farmlands, are thought to contribute to citizenry happiness by promoting physical and mental well-being. While several studies have reported the mental benefits of green spaces, most had been conducted in affluent locations, including the United States and Europe, and only a few involved a multi-country setting.

A lack of data had been the main limitation in carrying out studies because there is no global medical dataset that can provide reliable and standardized mental health surveys from different countries. Another challenge involves a systematic method to measure the quantity of green spaces in countries. Various methods of measuring green spaces, including questionnaires, qualitative interviews, satellite images, Google Street View images, and smartphone technology, still rely on individual-level measurements; therefore, they are not scalable to the global level. These challenges left the unanswered question of the association between the positive effects of green spaces on mental well-being for many countries with different socioeconomic conditions.

An international collaboration of researchers from POSTECH, the Max Planck Institute, New Jersey Institute of Technology, and the National University of Singapore, led by the Chief Investigator and an Associate Professor CHA Meeyoung, at the Institute for Basic Science (IBS) and Korea Advanced Institute of Science and Technology in South Korea, set out to tackle the issue. Their study, published in EPJ Data Science, identified the global correlation between urban green spaces and happiness in 60 countries using Sentinel-2’s satellite imagery dataset.

Using the satellite imagery dataset, the team measured each country’s urban green spaces score as the total vegetation index per population in the most populated cities. A total of 90 cities in 60 countries were chosen to represent at least 10% of the population in the studied countries. For a clear view, only the satellite imagery data from summertime were used for analysis, which is June to September in the Northern Hemisphere and December to February in the Southern Hemisphere. The happiness score was taken from the United Nations’ World Happiness Report.

The team found a significant positive correlation between urban green spaces and happiness in all countries. Urban green spaces add increased happiness compared to the baseline happiness value determined by a nation’s wealth. The relationship was robust for other socioeconomic conditions, including life expectancy, health expenditure, unemployment, gender inequality, and education.

The team also examined whether this association was uniform across all countries. Happiness in the top 30 wealthiest countries (i.e., GDP per capita of 38,000 USD or above) is strongly affected by the amount of urban green spaces, whereas the GDP per capita is a more critical factor of happiness in the bottom 30 countries. The finding corroborates the conventional wisdom that economic prosperity is crucial for happiness up to a certain level after which, urban green spaces are a better indicator of happiness. The finding coincides with the Easterlin paradox concept, which describes how increases in happiness through wealth reach a saturation point after which the factors that improve happiness are unknown.

The team also identified a direct positive relationship between social support for urban green spaces. The relationship indicates that the variable of social support can serve as a mediator between green spaces and happiness. The finding underlines the importance of maintaining urban green spaces as places for social cohesion in support of people’s happiness.

The researchers outline several policy-level implications in their work. First, public green spaces should be made accessible to urban dwellers to enhance social support. If public safety in urban parks is not guaranteed, its positive role in social support and happiness may diminish. Also, the meaning of public safety may change; for example, ensuring biological safety will be a priority in keeping urban parks accessible during the COVID-19 pandemic.

Second, urban planning for public green spaces is needed for developed and developing countries. As it is challenging or nearly impossible to secure land for green spaces after the area is developed, urban planning for parks and green spaces should be considered in developing economies where new cities and suburban areas are rapidly expanding.

Third, recent climate changes can present substantial difficulty in sustaining urban green spaces. Extreme events, such as wildfires, floods, droughts, and cold-weather waves, could endanger urban forests, while global warming could conversely accelerate tree growth in cities owing to the urban heat island effect. Thus, more attention must be paid to predict climate changes and discovering their impact on the maintenance of urban green space.

The team also noted the increasing demand for data-driven policymaking for citizens. “Big data from satellite imagery can provide great opportunities to answer a variety of social issues. Our method can be used to quantify blue space at shores, and we may further study the relationship between blue spaces and happiness,” says Dr. Cha.

(a) The map of urban green space and happiness in 60 developed countries. The size and color of circles represent the level of happiness and urban green space in a country, respectively. The markers are placed on the most populated cities of each country.  (b) Urban green space is measured by the UGS in four world cities. The green areas indicate the adjusted NDVI per capita (i.e., UGS) for every 10m by 10m pixel.
▲ Figure 1. (a) The map of urban green space and happiness in 60 developed countries. The size and color of circles represent the level of happiness and urban green space in a country, respectively. The markers are placed on the most populated cities of each country. (b) Urban green space is measured by the UGS in four world cities. The green areas indicate the adjusted NDVI per capita (i.e., UGS) for every 10m by 10m pixel.


The relations of (a) log-GDP and happiness, and (b) urban green space (i.e., UGS) and happiness across 60 developed countries. The top 30 and the lowest 30 countries ranked by GDP are sized by the population size and colored by red and black. The dotted lines are the linear fit for each GDP group. (c) Changes of coefficients between urban green space and happiness for different sets of GDP rank with increasing window size from top 10 to 60. (d) The rank correlations between UGS and happiness for the groups of countries in the increasing GDP rank order.
▲ Figure 2. The relations of (a) log-GDP and happiness, and (b) urban green space (i.e., UGS) and happiness across 60 developed countries. The top 30 and the lowest 30 countries ranked by GDP are sized by the population size and colored by red and black. The dotted lines are the linear fit for each GDP group. (c) Changes of coefficients between urban green space and happiness for different sets of GDP rank with increasing window size from top 10 to 60. (d) The rank correlations between UGS and happiness for the groups of countries in the increasing GDP rank order.


Figure 3. Diagram for the moderated mediation model between social support and green space. The boxes denote the model variables. Solid black arrows denote a statistically significant relationship between a pair of variables with the regression coefficient and the p-value (i.e., ***p< 0.01). The gray dashed arrow represents a non-significant relationship. Note that the coefficients are calculated with z-scores of the variables to compare the effect size directly.
▲ Figure 3. Diagram for the moderated mediation model between social support and green space. The boxes denote the model variables. Solid black arrows denote a statistically significant relationship between a pair of variables with the regression coefficient and the p-value (i.e., ***p< 0.01). The gray dashed arrow represents a non-significant relationship. Note that the coefficients are calculated with z-scores of the variables to compare the effect size directly.


Notes for editors

- References
Oh-Hyun Kwon, Inho Hong, Jeasurk Yang, Donghee Y. Wohn, Woo-Sung Jung, and Meeyoung Cha, 2021. Urban green space and happiness in developed countries. EPJ Data Science. DOI: https://doi.org/10.1140/epjds/s13688-021-00278-7

- Media Contact
For further information or to request media assistance, please contact William I. Suh at the IBS Communications Team (willisuh@ibs.re.kr).

- About the Institute for Basic Science (IBS)
IBS was founded in 2011 by the government of the Republic of Korea with the sole purpose of driving forward the development of basic science in South Korea. IBS has 31 research centers as of September 2020. There are ten physics, three mathematics, six chemistry, six life science, one Earth science, and five interdisciplinary research centers.

Research

Are you satisfied with the information on this page?

Content Manager
Communications Team : Park Jong Woo   042-878-8212
Last Update 2021-04-14 17:27