| Literature DB >> 34305268 |
Muhammad Jabbar1, Mariney Mohd Yusoff2, Aziz Shafie3.
Abstract
Human has been evolving in a natural environment over a long time; thus, he is habitual to adapt it. Green spaces are obligatory landscapes in an urban structure that provide a natural environment and accelerate other life events. In contrast, unplanned urbanization, and conversion from green to grey structures have damaged natural environmental resources. Studies through different angles have highlighted the importance of urban green spaces for human well-being but now need to identify their role according to the potential. The demands of urban green spaces may differ with the change of population size, types of grey structure, urban expansion, the altitude of the place, and geographical location. Therefore, this systematic review aims to analyse the significance of urban green spaces for human well-being. The study opted for a systematic process during the selection and organization of studies for this review. After analysing, 46 studies were finalized with the consensus of three review authors. Accordingly, literature was analysed under the central theme of "Urban Green Spaces for Human Well-being." Human Well-being was assessed under six sub-themes; physical, psychological, mental, social, subjective, and environmental well-being. The review concluded that urban green spaces are the primary pillar for a sustainable urban place and human well-being due to highly positive and positive correlations. Moreover, the study did not find any demarcation line between green spaces and grey structures according to any specific need. Therefore, the study suggested that the role of urban green spaces for human well-being should be analysed according to their potential and required optimal ratio under different communities' urban specific environments and social behaviour.Entities:
Keywords: Environmental sustainability; Human well-being; Social behaviour; Urban green spaces
Year: 2021 PMID: 34305268 PMCID: PMC8290137 DOI: 10.1007/s10708-021-10474-7
Source DB: PubMed Journal: GeoJournal ISSN: 0343-2521
Detail of reviewed studies
| Sr.# | Author (Year) | Study area | Citations | Target group | Methods | Findings |
|---|---|---|---|---|---|---|
| 1 | Akpinar ( | Aydin (Turki) | 139 | 420 visitors | Multivariate linear regression | Quality, access, and physical activities enhance mental and physical health |
| 2 | Ayala-Azcárraga et al. ( | Mexico City | 46 | ≥ 18 years old | Nonparametric Kruskall-Wallis test and univariate | Physical health and life satisfaction is found in the neighbourhood of parks |
| 3 | Ma et al. ( | Beijing (China) | 26 | 1002 Residents | Seemingly unrelated regressions model | Highest well-being found within 1–5 km whereas lowest over 10 km |
| 4 | Brindley et al. ( | Sheffield (UK) | 28 | 1500 residents | Spearman correlation and negative binomial regression | UGSs quality is an essential factor for the alleviation of poor general health |
| 5 | Cameron et al. ( | Sheffield (UK) | 19 | 259 visitors | One-way ANOVA for difference & pearson product-moment correlation | Biodiversity in UGS has strong relations with positive emotions |
| 6 | Chang et al. ( | Taiwan | 27 | 151 visitors | Pearson product-moment correlations coefficient | Ecological richness and diversity in UGS encouraged by the visitors |
| 7 | Dadvand et al. ( | Iran | 28 | 10,856 adolescents | Logistic mixed-effects models with self-satisfaction | Time spends in UGSs enhanced subjective, social, and mental well-being |
| 8 | Dong and Hauschild ( | Beijing (China) | 58 | 712 residents | Principle component analysis, & Hierarchical linear modeling, | Proximity to UGSs is found significant for subjective and mental well-being |
| 9 | Duan et al. ( | Guangzhou (China) | 16 | 396 visitors | Non-parametric Kruskal Wallis test, binary logistic regression model | UGSs mitigate environmental risks for humans by cooling and filtering the air |
| 10 | Enssle and Kabisch ( | Berlin (Germany) | 31 | 506 aged visitors (50 + years) | Non-parametric Kruskal–Wallis test, Pearson chi-squared tests | Urban parks improve social interaction and human health in neighborhood |
| 11 | Gascon et al. ( | Barcelona (Spain) | 93 | 958 adults | Logistic regression models | UGSs improve mental health by reducing air pollution and noise |
| 12 | Georgi and Dimitriou ( | Chania (Greece) | 238 | 52,000 residents | SKYMASTER, Model SM-28, One way ANOVA and t-Test | UGSs increase life satisfaction, improve city environment & thermal comfort |
| 13 | Gubbels et al. ( | Netherland | 49 | 401 adolescents & 454 adults | Multivariate linear regression models | Urban greenery has positive effects on human health and behaviour leisure time |
| 14 | Helbich et al., | Netherland | 39 | 403 municipalities | Spearman’s rank correlation coefficients | Green space is a central health and community asset with a minimum of 28% |
| 15 | Holt et al. ( | United States | 32 | 207 Students | Chi-squared tests & logistic regression model | Regular interaction with UGSs reported higher QoL, better mood, and lower stress |
| 16 | Hong et al. ( | Daejeon (South Korea) | 8 | 400 residents | SEM models & ANOVA | Regular visits & maximum time spend in UGSs increase subjective well-being |
| 17 | Houlden et al. ( | London (UK) | 22 | 15,000 residents | OLS regression & geographically weighted regression model | Mental well-being increased with the decreasing distance from green spaces |
| 18 | Koprowska et al. ( | Lodz (Poland) | 31 | 105,960 residents | Spatial error probit model | The direct effect of UGSs found positive at large extent to reduce noise pollution |
| 19 | Kothencz et al. ( | Szeged (Hungary) | 60 | 227 visitors | Ordinal logistic regression model | Recreation capacity in UGSs increases life satisfaction amongst the visitors |
| 20 | Larson et al. ( | United States | 183 | 160,000 residents | OLS regression model | Strong positive relations found between UGSs and human physical well-being |
| 21 | Lee and Lee ( | South Korea | 22 | 11,408 aged residents | Chi-squared Test & binary logistic regression | UGSs within the community is an essential element for mental health |
| 22 | Mears et al. ( | Sheffield (UK) | 12 | 293 residents | Negative binomial regression & Spearman correlation | UGSs has hostile relations with poor health & cleanliness decreases stress |
| 23 | Meyer-Grandbastien et al. ( | Rennes (France) | 7 | 390 visitors | Pearson correlation analyses | Mixed landscapes in UGSs are merely helpful for psychological restoration |
| 24 | Mavoa et al. ( | Melbourne (Australia) | 26 | 4912 adults | Pearson correlations & leaner regression model | The higher association found between green spaces and subjective well-being |
| 25 | Nath et al. ( | Kuala Lumpur (Malaysia) | 33 | 310 visitors | Statistical ratio comparison & chi-squared test | Parks had a positive influence on mental, physical, and overall well-being |
| 26 | Navarrete-Hernandez and Laffan ( | Valparaiso (Chile) | 16 | 240 visitors | Used random intercept models & regression coefficients analyses | Street-level greenery has positive effects on feelings, happiness & stress reduction |
| 27 | Nutsford et al. ( | Auckland (New Zealand) | 320 | 3149 area units | Negative binomial regression model | Access and active participation in UGSs decrease anxiety/mood disorder issues |
| 28 | Paul and Nagendra ( | Delhi (India) | 51 | 123 visitors | ANOVA and t-test | UGSs reduce human psychological, social, and environmental issues |
| 29 | Reis andLopes ( | Lisbon (Portugal) | 17 | Not specific | Simple leaner regression model | An area of 50 m2 covered by vegetation can cool the air by 1 °C |
| 30 | Rey Gozalo et al. ( | Cáceres (Spain) | 65 | 182 residents | Non-parametric Mann–Whitney test, bivariate & partial correlation | The highest relationships found between UGSs and overall human well-being |
| 31 | Roe et al. ( | England (UK) | 70 | 480 residents | Non-parametric test & regression model | The interaction with UGSs determine general health benefits |
| 32 | Schebella et al. ( | S. Australia (Australia) | 25 | 840 residents | Regression model, ANOVA, correlations | Biodiversity in UGSs is strongly associated with psychological well-being |
| 33 | Scopelliti et al. ( | Bogotá (Colombia) | 91 | 398 visitors | Bonferroni correction for comparison & bivariate correlations | High Physical & psychological benefits received by the middle-income group |
| 34 | Selmi et al. ( | Strasbourg (France) | 245 | Not specific | i-Tree Eco-model was used to calculate vegetation benefits | Large trees are significantly associated with the vital removal of air pollution |
| 35 | Southon et al. ( | Bedford and Luton (UK) | 73 | 360 visitors | Chi-squared test & linear mixed-effects models | Richness of tree species is strongly associated with psychological well-being |
| 36 | Taylor et al. ( | Australia & NZ (Four cities) | 33 | 1819 residents | NDVI, & leaner regression analyses | Proximity & time spend in green spaces are closely associated with well-being |
| 37 | Thompson ( | Scotland (UK) | 131 | 406 adults | Regression, chi-squared automatic interaction detection | Access to green spaces enhanced human mental well-being and general health |
| 38 | Tsai et al. ( | United States (various cities) | 41 | 276 residents | One-way analysis of variance & stepwise logistic regression | Shrubland has positive effects in the reduction of frequent mental distress |
| 39 | Vieira et al. ( | Almada (Portugal) | 100 | Not specific | Non-metric multidimensional scaling, one way ANOVA & NDVI | UGSs are an essential nature-based solution to UHI effects and air pollution |
| 40 | Vujcic et al. ( | Belgrade (Serbia) | 35 | 181,231 residents | t-Test, multiple regression & Pearson correlational | The higher green areas and their quality led to greater health outcomes |
| 41 | Wang et al. ( | Jiangsu (China) | 40 | 300 residents | Multifactor ANOVA & leaner regression | More trees, flowers, clear water attract visitors and improve mental health |
| 42 | Wang et al. ( | Guangzhou (China) | 59 | 1029 adults | NDVI, non-parametric Spearman correlation, linear regression models | Green spaces enhanced mental well-being through Physical activities and Social Interaction |
| 43 | White et al. ( | England (UK) | 108 | 7272 residents | Unadjusted binary logistic regression | visiting green spaces even once a week is essential for eudaimonic well-being |
| 44 | White et al. ( | England (UK) | 737 | 10,000 residents | Fixed-effects regression approach | More availability of UGSs lower mental distress and improve subjective WB |
| 45 | Wood et al. ( | Perth (Australia) | 182 | 492 residents | Public open space desktop auditing tool (POSDAT) & linear regression | Parks in neighbourhoods within walking distance is significant for mental health |
| 46 | Zhang and Tan ( | Singapore | 20 | 1000 residents | Chi-square, t-test, binary logistic regression | Canopy cover showed strong associations with mental health at most of the scales |
UGSs urban green spaces, QoL quality of life, WB well-being, UHI urban heat Island
Queries used for searching the data
| Databases | Keywords |
|---|---|
| Web of science | 'TS = (("urban green spaces*" OR "urban greenness" OR "urban green infrastructure" OR "urban vegetation" OR "urban parks")) and ("human well-being*" OR "quality of life*" OR "physical* well-being" OR "physical health" OR "psychological* well-being" OR "psychological health" OR "mental* well-being" OR "mental health" OR "social* well-being" OR "social cohesion" OR "subjective* well-being" OR "environmental well-being)) |
| Scopus index | TITLE-ABS-KEY = (("urban green spaces*" OR "urban greenness" OR "urban vegetation" OR "urban parks") and ("human well-being*" OR "quality of life*" OR "physical* well-being" OR "physical health" OR "psychological* well-being" OR "psychological health" OR "mental* well-being" OR "mental stress" OR "mental health" OR "social* well-being" OR "social cohesion" OR "subjective* well-being" OR "environmental well-being)) |
| PubMed | (("urban green spaces*" OR "urban greenness" OR "green infrastructure" OR "urban vegetation" OR "urban parks") and ("human well-being*" OR "physical* well-being" OR "physical health" OR "psychological* well-being" OR "psychological health" OR "mental* well-being" OR "mental stress" OR "mental health" OR "social* well-being" OR "social cohesion" OR "subjective* well-being" OR "life satisfaction")) |
Fig. 1Selection process of the studies for the review
Fig. 2Spatial distribution of reviewed studies