Effect of green space on residents’ place attachment: A case study of Guangzhou City

Wu, Rong; Pan, Zhuolin; Li, Zhigang; LIU, Ye; LIU, Yuqi

doi:10.18306/dlkxjz.2021.03.008

Cited by 3 publications

(6 citation statements)

References 30 publications

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“…Meanwhile, the mental health status of migrants improves as they become more settled in their host city [44]. In contrast, Wu et al [56] examined the effect of streetscape green spaces on residents' mental health in Guangzhou and found that the migrant groups had slightly better mental health than the local residents, possibly due to the higher visibility of green space in the urban villages where the migrants lived. Li et al [54] also found that migrants have better mental health status than their urban counterparts, but this was much lower than rural residents in western Zhejiang province.…”

Section: Descriptive Analysismentioning

confidence: 99%

“…In addition, five studies reported mixed results on the differences in mental health status between rural migrants and native residents [49,[53][54][55][56]. Studies have well documented that migrant groups' mental health is lower than that of the local population.…”

Section: Descriptive Analysismentioning

confidence: 99%

“…For example, He et al [91] found that the higher the proportion of locals in the neighbourhood, the better the self-rated health status and mental health of migrants due to the neighbourhood effect. In addition, ten of the reviewed articles consistently revealed that social cohesion is positively associated with migrants' health and well-being [37,45,50,56,66,70,97,100,104,107]. Good social cohesion is directly linked to a highly subjective sense of well-being among older migrants [97,100].…”

mentioning

confidence: 97%

“…Finally, green space can enhance place attachment and social cohesion, which is protective of migrants' mental health. For instance, Wu et al [56] studied the impact of streetscape green spaces on residents' mental health in Guangzhou, and suggested that streetscape green spaces increased residents' place attachment and led to improvement in the mental health of migrants. Yang et al [67] suggested that actively utilizing green spaces improves social cohesion by increasing social interaction and fostering social connections in Shenzhen.…”

mentioning

confidence: 99%

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The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review

Huang

Said

Goh

et al. 2023

IJERPH

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China’s internal migrants suffer from marginalised housing conditions, poor neighbourhood environments and residential segregation, which may have significant implications on health and well-being. Echoing recent calls for interdisciplinary research on migrant health and well-being, this study examines the associations and mechanisms of the impact of the residential environment on the health and well-being of Chinese migrants. We found that most of the relevant studies supported the “healthy migration effect”, but the phenomenon was only applicable to migrants’ self-reported physical health rather than mental health. The subjective well-being of migrants is lower than that of urban migrants. There is a debate between the effectiveness of residential environmental improvements and the ineffectiveness of residential environmental improvements in terms of the impact of the neighbourhood environment on migrants’ health and well-being. Housing conditions and the neighbourhood’s physical and social environment can enhance migrants’ health and well-being by strengthening place attachment and social cohesion, building localised social capital and gaining neighbourhood social support. Residential segregation on the neighbourhood scale affects the health outcomes of migrant populations through the mechanism of relative deprivation. Our studies build a vivid and comprehensive picture of research to understand migration, urban life and health and well-being.

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Section: Descriptive Analysismentioning

confidence: 99%

Section: Descriptive Analysismentioning

confidence: 99%

mentioning

confidence: 97%

mentioning

confidence: 99%

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The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review

Huang

Said

Goh

et al. 2023

IJERPH

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“…Moreover, one in four people living in Europe and North America could be aged 65 or over [8]. According to a World Health Organization report, it is estimated that by 2050, the global population of people older than 60 will reach 2.1 billion [9], which is close to 22% of the total population [10,11].…”

Section: Introductionmentioning

confidence: 99%

The Effect of High-Density Built Environments on Elderly Individuals’ Physical Health: A Cross-Sectional Study in Guangzhou, China

Zhang

Song

et al. 2021

IJERPH

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The built environment refers to the objective material environment built by humans in cities for living and production activities. Existing studies have proven that the built environment plays a significant role in human health, but little attention is paid to the elderly in this regard. At the same time, existing studies are mainly concentrated in Western developed countries, and there are few empirical studies in developing countries such as China. Based on POI (point of interest) data and 882 questionnaires collected from 20 neighborhoods in Guangzhou, we employ multilevel linear regression modeling, mediating effect modeling, to explore the path and mechanism of the impact of the built environment on elderly individuals’ physical health, especially the mediating effects of physical and social interaction activity. The results show that the number of POIs, the distance to the nearest park and square, and the number of parks and squares are significantly positively correlated with the physical health of the elderly, while the number of bus and subway stations and the distance to the nearest station are significantly negatively correlated. Secondly, physical activity and social networks play a separate role in mediating the effect of the built environment on elderly individuals’ physical health. The results enrich the research on the built environment and elderly individuals’ health in the context of high-density cities in China and provide some reference basis for actively promoting spatial intervention and cultivating a healthy aging society.

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Reading Greenness in Urban Areas: Possible Roles of Phenological Metrics from the Copernicus HR-VPP Dataset

Mondino

Fissore²

2022

Remote Sensing

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Vegetation phenology is that branch of science that describes periodic plant life cycle events across the growing seasons. Remote sensing typically monitors these significant events by means of time series of vegetation indices, permitting to characterize vegetation dynamics. It is well known that vegetation in urban areas, i.e., green spaces in general, may benefit human health mainly by mitigating noise and air pollution, promoting physical or social activities, and improving mental health. Based on the influence that green space exposure seems to exert on Public Health and using a multidisciplinary approach, we mapped phenological behavior of urban green areas to explore yearly persistence of their potential favorable effect, such as heat reduction, air purification, noise mitigation, and promotion of physical/social activities and improvement of mental health. The study area corresponds to the municipality of Torino (about 800,000 inhabitants, NW, Italy). Renouncing to a rigorous at-species level phenological description, this work investigated macro-phenology of vegetated areas for the 2018, 2019 and 2020 years with reference to the new free and open Copernicus HR-VPP dataset. Vegetation type, deduced with reference to the 2019 BDTRE official technical map of the Piemonte Region, was considered and related to the correspondent macro-phenology using a limited number of metrics from the HR-VPP dataset. Investigation was aimed at exploring their capability of providing synthetic and easy-to-use information for urban planners. No validation was achieved about phenological metrics values (assuming their accuracy correspondent to the nominal one reported in the associated manuals). Nevertheless, a spatial validation was operated to investigate the capability of the dataset to properly recognize vegetated areas, thus providing correspondent metrics. Preliminary results showed a spatial inconsistency related to the HR-VPP dataset, that greatly overestimates (about 50%) vegetated areas in the city, assigning metric values to pixels that, if compared with technical maps, do not fall within vegetated areas. The work found out that, among HR-VPP metrics, LOS (Length Of Season) and SPROD (Seasonal Productivity) well characterized vegetation patches, making it possible to clearly read vegetation behavior, which can be effectively exploited to zone the city and make management of green areas and real estate considerations more effective.

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Effect of green space on residents’ place attachment: A case study of Guangzhou City

Cited by 3 publications

References 30 publications

The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review

The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review

The Effect of High-Density Built Environments on Elderly Individuals’ Physical Health: A Cross-Sectional Study in Guangzhou, China

Reading Greenness in Urban Areas: Possible Roles of Phenological Metrics from the Copernicus HR-VPP Dataset

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