Density Of Open Spaces Research Articles

Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis

Dementia has become a profound public health problem due to the number of patients increasing every year. Previous studies have reported that environmental factors, including greenness, may influence the development and progression of dementia. Studies have found that exposure to green space is associated with a lower incidence of dementia. However, many definitions of green space exist, and the effects of its use may differ with the type of green space. Therefore, two types of green space measures were considered in this study to assess the differences in their impact on the prevalence of dementia among females and males. This study used five years of data (2017–2021) from 235 districts in South Korea. The two green space measures used were open space density and normalized difference vegetation index (NDVI), which were derived from satellite images. The analysis utilized a combination of traditional and spatial panel analyses to account for the spatial and temporal effects of independent variables on dementia prevalence. The spatial autocorrelation results revealed that both measures of greenness were spatially correlated with dementia prevalence. The spatial panel regression results revealed a significant positive association between NDVI and dementia prevalence, and open space had a negative association with dementia prevalence in both genders. The difference in the findings can serve as the basis for further research when choosing a greenspace measure, as it affects the analysis results, depending on the objective of the study. This study adds to the knowledge regarding improving dementia studies and the application of spatial panel analysis in epidemiological studies.

Assessment of air pollution and air quality perception mismatch using mobility-based real-time exposure.

Air pollution poses a threat to human health. Public perceptions of air pollution are important for individual self-protection and policy-making. Given the uncertainty faced by residence-based exposure (RB) measurements, this study measures individuals' real-time mobility-based (MB) exposures and perceptions of air pollution by considering people's daily movement. It explores how contextual uncertainties may influence the disparities in perceived air quality by taking into account RB and MB environmental factors. In addition, we explore factors that are related to the mismatch between people's perceived air quality and actual air pollution exposure. Using K-means clustering to divide the PM2.5 values into two groups, a mismatch happens when the perceived air quality is poor but the air pollution level is lower than 15.536μg/m3 and when the perceived air quality is good but the air pollution level is higher than 15.608μg/m3. The results show that there is a mismatch between air pollution exposure and perception of air pollution. People with low income are exposed to higher air pollution. Unemployed people and people with more serious mental health symptoms (e.g., depression) have a higher chance of accurately assessing air pollution (e.g., perceiving air quality as poor when air pollution levels are high). Older people and those with a higher MB open space density tend to underestimate air pollution. Students tend to perceive air quality as good. People who are surrounded by higher MB transportation land-use density and green space density tend to perceive air quality as poor. The results can help policymakers to increase public awareness of high air pollution areas, and consider the health effects of landscapes during planning.

Outside the compact city. Making borders disappear

The paper explores the challenges of demographic changes and economic growth, with reference to post-war expansions, in-between urban and rural territories.Examining EU definitions and past programmes, it analysis the concepts of periurban areas and urban fringe within two major EU funded project: Horizon 2020 “REPAiR” and URBACT III “Sub> urban. Reinventing the fringe”. These projects, going beyond past definitions, consider areas outside the compact city as an overall continuous built/un-built territory, an amorphous area between the high-density inner city and the low-density suburbs. These border areas of a city in transition, signed by urban abandonment and decay, have a strong potential for conversion and density; not in the sense of expansion related to land consumption, but working on a density of open-spaces, e.g. eco-services for new liveable habitats and sustainable way of living. The territorial regeneration process becomes progressive, adaptive and flexible, to be defined from both side of the border, through collaborative and cooperative processes, learning from the compact city.The paper uses three samples from the EU funded project -the cities of Casoria (Italy), Antwerp (Belgium) and Oslo (Norway)- which worked on their fringe, based on principles of an alternative paradigm of growth, which starts from the conversion of physical heritage (built and un-built), through densification and diversification of uses, to re-interpret the meaning and identity of long neglected areas.

Urban environment and cause specific visits to community health centers of Medan city, Indonesia in 2016

This study analysed the associations between urban environmental features and population disease specific visits to health centers in Medan city, Indonesia. This is an ecological study using secondary aggregated data in 2016 at the level of local community health centers in Medan. We included three transport features, and five land use features as the independent factors for the number of visits for mental disorders, hypertension, diabetes type 2, and all cause mortality. We used generalized estimating equation (GEE) with Poisson distribution for the analyses. The model revealed that density of open spaces (green, blue, public) was negatively associated with the visits for hypertension (RR: 0.89, 95 % CI:0.79, 0.99) and diabetes type 2 (RR:0.86, 95 % CI:0.76, 0.97). Increased density of residential area, and places of worship also reduced the number of visits for mixed anxiety and depressive disorders (MADD) (RR: 0.43, 95 % CI:0.22, 0.86; RR: 0.54, 95 % CI: 0.29, 0.99). However, increased density of educational institutes increased the total visits for mental disorders (RR:1.43, 95 % CI:1.14, 1.80) and MADD (RR:2.01, 95 % CI:1.33, 3.04). Urban land use was more significant in influencing the number of visits to health centers, indicating the importance of early incorporation of health in sustainable urban planning in Medan.

The Potential Importance of Housing Type for Older People's Physical Activity Levels.

Limited research has investigated the effect of housing type on older people's physical activity, and the small amount of work to date has relied on self-reported activity levels. The aim of this study was to assess whether housing type is associated with objectively measured physical activity among community-dwelling older people. In total, 430 Australians aged 60 years and older completed a survey and wore an accelerometer for a week. Controlling for a range of confounding variables (age, gender, physical health, neighborhood walkability, and the density of open spaces in the local area), participants living in separate houses were found to engage in higher levels of activity compared with those living in retirement villages. In addition, those living in separate houses and apartments were significantly more likely to meet the physical activity guideline of 150+ min/week compared with those living in retirement villages.

Objective measures of the built environment and physical activity in children: from walkability to moveability.

Features of the built environment that may influence physical activity (PA) levels are commonly captured using a so-called walkability index. Since such indices typically describe opportunities for walking in everyday life of adults, they might not be applicable to assess urban opportunities for PA in children. Particularly, the spatial availability of recreational facilities may have an impact on PA in children and should be additionally considered. We linked individual data of 400 2- to 9-year-old children recruited in the European IDEFICS study to geographic data of one German study region, based on individual network-dependent neighborhoods. Environmental features of the walkability concept and the availability of recreational facilities, i.e. playgrounds, green spaces, and parks, were measured. Relevant features were combined to a moveability index that should capture urban opportunities for PA in children. A gamma log-regression model was used to model linear and non-linear effects of individual variables on accelerometer-based moderate-to-vigorous physical activity (MVPA) stratified by pre-school children (<6 years) and school children (≥6 years). Single environmental features and the resulting indices were separately included into the model to investigate the effect of each variable on MVPA. In school children, commonly used features such as residential density [Formula: see text], intersection density [Formula: see text], and public transit density [Formula: see text] showed a positive effect on MVPA, while land use mix revealed a negative effect on MVPA [Formula: see text]. In particular, playground density [Formula: see text] and density of public open spaces, i.e., playgrounds and parks combined [Formula: see text], showed positive effects on MVPA. However, availability of green spaces showed no effect on MVPA. Different moveability indices were constructed based on the walkability index accounting for the negative impact of land use mix. Moveability indices showed also strong effects on MVPA in school children for both components, expanded by playground density [Formula: see text] or by public open space density [Formula: see text], but no effects of urban measures and moveability indices were found in pre-school children. The final moveability indices capture relevant opportunities for PA in school children. Particularly, availability of public open spaces seems to be a strong predictor of MVPA. Future studies involving children should consider quantitative assessment of public recreational facilities in larger cities or urban sprawls in order to investigate the influence of the moveability on childhood PA in a broader sample.

The geography of recreational open space: influence of neighborhood racial composition and neighborhood poverty.

The geography of recreational open space might be inequitable in terms of minority neighborhood racial/ethnic composition and neighborhood poverty, perhaps due in part to residential segregation. This study evaluated the association between minority neighborhood racial/ethnic composition, neighborhood poverty, and recreational open space in Boston, Massachusetts (US). Across Boston census tracts, we computed percent non-Hispanic Black, percent Hispanic, and percent families in poverty as well as recreational open space density. We evaluated spatial autocorrelation in study variables and in the ordinary least squares (OLS) regression residuals via the Global Moran's I. We then computed Spearman correlations between the census tract socio-demographic characteristics and recreational open space density, including correlations adjusted for spatial autocorrelation. After this, we computed OLS regressions or spatial regressions as appropriate. Significant positive spatial autocorrelation was found for neighborhood socio-demographic characteristics (all p value = 0.001). We found marginally significant positive spatial autocorrelation in recreational open space (Global Moran's I = 0.082; p value = 0.053). However, we found no spatial autocorrelation in the OLS regression residuals, which indicated that spatial models were not appropriate. There was a negative correlation between census tract percent non-Hispanic Black and recreational open space density (r S = -0.22; conventional p value = 0.005; spatially adjusted p value = 0.019) as well as a negative correlation between predominantly non-Hispanic Black census tracts (>60% non-Hispanic Black in a census tract) and recreational open space density (r S = -0.23; conventional p value = 0.003; spatially adjusted p value = 0.007). In bivariate and multivariate OLS models, percent non-Hispanic Black in a census tract and predominantly Black census tracts were associated with decreased density of recreational open space (p value < 0.001). Consistent with several previous studies in other geographic locales, we found that Black neighborhoods in Boston were less likely to have recreational open spaces, indicating the need for policy interventions promoting equitable access. Such interventions may contribute to reductions and disparities in obesity.