Benefits Of Urban Green Spaces Research Articles

Greening the mind: exploring the link between vertical gardens, urban forests, and mental health

Abstract Background Mental disorders impose a significant global burden, affecting millions of individuals, contributing to disability, reduced quality of life, and economic costs worldwide. Between 1990 and 2019, the global number of disability-adjusted life-years due to mental disorders increased from 80.8 million to 125.3 million. The economic costs are projected to rise to 6,000 billion euros by 2030. Urbanization has been associated with a worsening of mental disorders over the years due to various factors, such as increased stress, social isolation, reduced access to green spaces, and higher levels of pollution. Decades of research have instead shown that exposure to green space may promote psychological well-being, regulate stress, and endorse social health across the lifespan. In this systematic review, we aim to investigate how proximity to vertical gardens or urban forests, specifically, may affect mental health. Methods The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed. The study protocol was registered in PROSPERO (CRD42024517969) with the following PECOS question: Is there an association between vertical gardens or urban forests and mental health? Results After performing searches on PubMed, Scopus, and Web of Science, and duplicate removal, we retrieved 556 articles. The main reasons for exclusion after title/abstract screening were mainly wrong outcome (not mental health) and wrong study type (not observational/intervention/cross-sectional studies). The selection of full texts is expected to end shortly and results will be available for November 2024. Preliminary findings support the role of green environmental assets in facilitating physical activity, social contact, and stress reduction. Conclusions In summary, mental disorders are exacerbated by urbanization’s stressors. Our review will further elucidate the potential benefits of urban green spaces like vertical gardens and urban forests on mental health. Key messages • Urbanization exacerbates the issue of mental disorders global burden. • Exposure to urban forests and vertical gardens may promote physiological well-being and mental health.

Exploring the negative perceptions of tree-based urban green space. People's behaviour and management are crucial

Studies dealing with services and benefits of urban green space are overrepresented compared to those addressing disservices, perceived constraints and other negative perceptions. Even when focusing on disservices and perceived constraints, the studies often take into account only a limited number of reasons for the negative perception. In this study we conducted a series of focus group interviews with the members of the public in the city of Zagreb (Croatia) with the goal of grasping the variety of reasons for negative perception, providing classification of those perceptions and exploring whether and how the perception is related to sociodemographic characteristics. Participants mostly discussed negative perceptions due to the behaviour of other users and perceived inadequate management of urban green space, while the least about the perception of safety. Tree disservices accounted only for a small portion of overall reasons for the negative perception. Age, gender, household income, employment status, number of preschool children and the length of living in Zagreb proved statistically significant for the perception, while education was not. Focus groups as a method enabled cataloguing the variety of reasons for negative perception. Understanding the range of reasons leading to the negative public perception of urban green space contributes to better planning, management and meeting public needs and expectations.

Urban green space, perceived everyday discrimination and mental health among rural-to-urban migrants: a multilevel analysis in Wuhan, China

BackgroundWhile the mental health benefits of urban green spaces (UGS) are increasingly recognized, less is known about how these relationships vary for socially marginalized groups. This study investigates the association between UGS and mental health among rural-to-urban migrants in Wuhan, China, examining the roles of the quality and quantity of UGS and the intermediary function of perceived everyday discrimination.MethodsWe used Multilevel Structural Equation Modeling to analyze data from a social survey, integrating with park-related social media ratings, street view imagery, and geospatial datasets to characterize UGS features and contextual factors, therefore verifying our hypotheses.ResultsBoth the quality and quantity of UGS significantly influence migrants’ mental health, with quantity demonstrating a stronger overall correlation, challenging common assumptions. Notably, social media scores of parks, reflecting positive user experiences, were found to improve mental health. However, the relationship with UGS quantity was nuanced: higher park density and green view index were positively associated with mental health, while increased park area proportion demonstrated the opposite effect. Furthermore, perceived discrimination emerged as a critical socio-psychological factor and operated spatial heterogeneity. In inner-city areas, neighborhoods characterized by plaza-type parks and high park density were associated with reduced perceived discrimination among migrants, showing active social functions of UGS. However, larger park areas are paradoxically correlated with increased discrimination experiences and poorer mental health. Interestingly, this mediatory effect of perceived discrimination was less pronounced in inner-suburban areas. These findings suggest a nuanced role of UGS in the lives of migrants. While certain aspects of UGS quantity, such as plentiful smaller parks, can facilitate social inclusion and improve mental health, others, like overlarge parks, may unintentionally contribute to feelings of marginalization and negatively impact mental health.ConclusionOur findings highlight the crucial need for context-sensitive green space planning that balances quality and quantity while mitigating discriminatory experiences to improve the mental health of rural-to-urban migrants.

Perception of urban green space among university students in Bangladesh.

Public parks and other green areas are crucial components of urban development. Urban management in emerging countries such as Bangladesh faces major challenges, especially because of the socio-environmental impacts of urbanization. Urban management initiatives in developing countries sometimes neglect crucial services for university students, such as study environments and recreational facilities. This study aimed to investigate students' perceptions of urban green space (UGS) and its potential benefits to our daily lives at Shahjalal University of Science and Technology (SUST) in Sylhet, Bangladesh, We collected data from 438 respondents by using a survey questionnaire-based stated preference approach as a methodological tool, using non-monetary assertions as the basis for the method. The survey included questions about respondents' social background, the frequency with which they visited green spaces, the benefits of urban green spaces and their perception of urban green spaces. We performed statistical analysis both descriptive and inferential statistics. Our findings suggest that 71.7% of students primarily use street trees and peace gardens as their main sites for urban green spaces. The study suggests that the advantages of urban green spaces, which include physical, mental, and environmental benefits, are strongly associated with criteria such as gender, academic level, and vulnerable to home locality for climate change (CC) or extreme weather events (EWEs). The Binary Logistic regression analysis identified urban life as the most influential factor. The correct classification rate was approximately 74.7%, indicating the model's strong accuracy in classification. Students who have lived in urban areas for more than 20 years have a reduced awareness of urban green spaces at 5% level of significance. Planning and policymaking for the creation and administration of urban green spaces, considering aspects like land use and environmental sustainability, could benefit from this study.

How to Make Flower Borders Benefit Public Emotional Health in Urban Green Space: A Perspective of Color Characteristics

The emotional health benefits of urban green space have been widely recognized. Flower borders, as a perennial plant landscape, have gradually become a current form of plant application in urban green spaces due to their rich color configurations. However, the related research primarily focuses on the impact of urban green spaces on public health, with relatively little attention given to how the colors of flower borders affect public emotional health. This study explored the relationship between the flower borders color characteristics and the public emotional health. In this study, 24 sample images were used as experimental materials, which selected based on their color richness and harmony. Additionally, face recognition technology and online random questionnaires were utilized to measure the public basic emotions and pleasure, respectively. The result shows that, based on the HSV color model and expert recommendations, 19 color characteristics were identified. The correlation analysis of the results from the public emotion with these color characteristics revealed that 13 color characteristics correlated with public emotional pleasure. Among them, blue, neutral purple, and low saturation were positively correlated. Through factor analysis, these thirteen color characteristics were summarized and categorized into four common factors (F1–F4), three of which are related to color. They are “low saturation of blue-violet percentage” (F1), “color configuration diversity” (F2), “bright red percentage” (F3), and “base green percentage” (F4), with F1 having the largest variance explained (27.88%). Finally, an evaluation model of color characteristics was constructed based on the variance explained by these four factors, which was demonstrated to effectively predict the level of public emotional pleasure when viewing flower borders. The results shed light on the effects of color characteristics on public emotions and provide new perspectives for subsequent flower border evaluations. Our results provide a valuable reference for future flower border color design, aiming to better improve public emotional health.

Exploring the relationship between preferred routes for walking exercise and green space layout in a dense urban area: a series of poisson regression models

ABSTRACT The literature considers urban green spaces as a key to promoting physical activity and health. Despite the increasingly recognized walking exercise promotion benefits of urban green spaces, the relationship between walking exercise preferences and green space layout remains unclear. We extracted preferred routes for walking exercise and measured the route heat using a one-year shared data of walking exercise from a mobile outdoor assistant app in the old city of Fuzhou, China. We then evaluated green space layout features within a 500-m buffer zone along the preferred routes in dimensions of scale, form, and function. The relationship between the route heat and green space layout features was analyzed using a series of poisson regression models, with the influence of urban morphology and the built environment allocation being controlled. Results showed that there existed a significant association between preferred routes for walking exercise and the combination of green space layout, urban morphology, and the built environment allocation; the route heat had positive associations with NDVI and comprehensive park area density, and showed negative associations with patch shape index and patch density. This study illustrates the necessity for targeted intervention strategies to promote the development of walkable and healthy urban areas.

How do species richness and colour diversity of plants affect public perception, preference and sense of restoration in urban green spaces?

Urban development has led to an overlap between natural and artificial environments, affecting individuals’ experiences with nature. To create high-quality urban natural environments, it is crucial to understand the residents’ perceptions, preferences and psychophysical health benefits concerning biodiversity. This study, employing various experimental designs, investigated the perceptions, preferences and restorative experiences of 695 participants concerning different levels of plant species richness and colour diversity in four typical urban green space types (lawn, forest, square and streetscape). The following discoveries were made: (i) The colour diversity carried by vegetation in lawns was an important basis for the public to identify plant diversity. Lawns with high richness achieved by different grass species (that have green colour) were not preferred by the public, and increased colour diversity that can be achieved by adding flowering plants (forbs) was preferred by people more than a single green lawn. The species richness of forests was positively correlated with public perception, preference and perceived restoration, with single green forests being preferred by the public. Additionally, people preferred vegetated environments over unvegetated squares or streetscapes. (ii) Participants’ perceptions, preferences and perceived restoration were positively correlated. Their preference for and perceived restoration from plant diversity depended more on their perception of it than on the actual species richness. (iii) Participants’ gender, expertise, physical condition, ecological knowledge, childhood living environment, frequency of use and accessibility of green spaces, natural orientation (connectedness), gardening, sense of security and well-being all influenced their perceptions, preferences and perceived restoration from plant diversity to varying extents. Significant distinctions were found between different forms of experimental design. Combining between-subject and within-subject designs could both control individual errors to some extent and avoid long-term effects on the participants compared to using either design alone. These findings provide a theoretical basis and practical approach for future biodiversity-oriented urban green space planning and management to better maximise the ecological and social service benefits of urban green spaces.

Thermal regulation potential of urban green spaces in a changing climate: Winter insights

Global warming affects both summer and winter temperatures, altering the ecological and social dynamics of urban green spaces not only during the summer months but also during the winter. Strategies to mitigate climate change impacts often emphasize increasing urban vegetation cover, but the effectiveness of these green spaces in regulating the local microclimate depends on various factors, including the vegetation structure. These effects remain largely underexplored during the winter season. To investigate the thermal regulation capacity of urban green spaces we measured air temperature and humidity in 36 parks with different sizes and vegetation structures in Munich, Germany, in their non-green surroundings, as well as in a nearby forest during the 2022–23 winter. We then analyzed the relationship between the local microclimatic differences and the vegetation structure derived from mobile laser scans. In comparison with the nearby forest, we measured a winter urban heat island effect of 1.8 °C in Munich. The urban microclimates in winter were mainly influenced by the urban landscape of Munich, namely the distance to the city center with increasing air temperature closer to the center. Urban green spaces in Munich provided small but consistent local cooling and humidifying effects throughout the winter. These cooling effects largely depended on the green space size but partially also on the vegetation structure. We found a significant relationship between the microclimatic difference, the vegetation density, and the vertical homogeneity of vegetation. The canopy cover, however, could not significantly predict the cooling effect in winter. We conclude that increasing the structural complexity of urban green spaces through management decisions could improve their cooling effect and ecological value, even during winter months. To maximize the ecological and climatic benefits of urban green spaces, a nuanced understanding and management of urban microclimates is needed across all seasons.

Utilizing regression model to characterize the impact of urban green space features on the subjective well-being of older adults

Based on the background of rapid global ageing, research exploring urban green spaces and the subjective well-being of urban residents has become one of the key research interests. However, the evidence for assessing the real benefits of urban green spaces on the subjective well-being of older adults by comprehensively examining the features of urban green spaces is limited. We surveyed older urban green space users (n = 536) aged 60 years and older in Nanjing, China, and evaluated the impacts of spatial, green, and grey features of urban green spaces on older people's overall satisfaction with urban green spaces and subjective well-being. The results of the multiple linear regression model showed a strong association between the three types of urban green space features, overall satisfaction with urban green space, and subjective well-being of older adults. The study results indicated that the grey feature of urban green spaces emerged as the most influential factor (p = 0.004) among the three features of urban green spaces in relation to their effect on the subjective well-being of older adults. This implies that it is essential to focus on the importance of grey s of urban green spaces in the planning and design of urban green spaces for older adults' use of different urban green spaces and their sense of well-being. These results contribute to the development of healthy ageing policies and age-friendly urban green space management strategies in rapid ageing countries around the world.

Spatial Heterogeneity Analysis of the Multidimensional Characteristics of Urban Green Spaces in China—A Study Based on 285 Prefecture-Level Cities

Quantitative measurement of urban green spaces (UGSs) plays a fundamental role in enhancing their ecological functions and services. Current studies have not adequately analyzed the multifunctional characteristics and the diverse benefits of urban green spaces at the national scale. This study developed a multidimensional indicator system in terms of scale, pattern, and services to measure green spaces in 285 prefecture-level cities in China. The influences of different geographic zones and urban development on UGS characteristics were also investigated. The results showed that per capita area of urban green spaces were significantly different between the two sides of the “Botai Line”, and the UGS structure was mainly dominated by woodlands. Urban green spaces in the central and east had higher fragmentation, lower landscape diversity, and weaker connectivity. The spatial accessibility of green spaces exhibited a “low–high–medium” pattern from north to south in China, with central-eastern China experiencing the worst equity in green space supply. Overall, cities with higher integrated benefits of green spaces were mainly located in Northeast and North China. Type I large cities had higher ratings for UGS characteristics compared with the other types of cities. These findings can serve as solid guidance for cities seeking to build green space systems with highly integrated socio–ecological benefits.

Urban greenspace types and climate factors jointly drive the microbial community structure and co-occurrence network

The benefits of urban green space are socially widely recognized as a direct link between plant–microbe interactions and the maintenance of biodiversity, community stability, and ecosystem functioning. Nevertheless, there is a lack of knowledge about the factors influencing microbial communities in urban green spaces, especially those related to phyllosphere epiphytes and stem epiphytes. In this study, we analyzed the microbial community assembly in leaf and stem bark samples collected from Square, Road, Campus, and Park. Illumina sequecing of 16S amplicons was performed to characterize microbial diversity and composition. The α-diversity was significantly higher in the bark epiphytic community, compared to the phyllosphere. Moreover, urban greenspaces'type altered the way communities gathered. The main soil and air properties factors of the urban greenhouse (e.g. soil temperature, atmospheric moisture, air temperature) were shaping the characteristics of bacterial communities on the leaf surface and bark epiphytic. In addition, in the co-occurrence network analysis, keystone taxa were not mostly observed in abundant species, which may be necessary to maintain ecosystem functions. Finally, our findings provide a deeper understanding of the ecological dynamics and microbial interactions within plant phyllosphere and stem epiphytes microbiomes.

Impact of Urban Green Spaces on Air Quality in Bangkok

Purpose: The aim of the study was to investigate the impact of urban green spaces on air quality in Bangkok. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Urban green spaces in Bangkok have been found to significantly reduce air pollutant levels such as nitrogen dioxide (NO2) and particulate matter (PM10 and PM2.5). These green areas mitigate the urban heat island effect and improve overall environmental quality by promoting carbon sequestration and providing natural cooling effects. Integrating green space planning into urban development strategies is crucial for sustaining these benefits and enhancing public health in Bangkok. Unique Contribution to Theory, Practice and Policy: Biophilia hypothesis, ecosystem services framework & urban heat island mitigation theory may be used to anchor future studies on the impact of urban green spaces on air quality in Bangkok. Municipalities should prioritize the strategic placement and maintenance of green infrastructure, considering factors like proximity to sources of pollution and population density. Policies should also prioritize community engagement and education on the benefits of urban green spaces for air quality and public health.

Attributes and benefits of urban green space visits – Insights from the City of Vancouver

This research explores the relationships between attributes of a green space visit (green space type, duration, activities, company) and 1) health-related benefits (including mental restoration, aesthetic appreciation), and 2) visitor demographics and health status. Exploratory analyses of our online survey show that the type of green space chosen has little relevance for benefits but that what it is used for does. Passive uses of urban green spaces are common across population groups and related to a diversity of benefits. Results showing that longer visits bring more benefits and occur more frequently within populations with higher education and income contentment point to inequities regarding the accessibility of health-related benefits. Lastly, we observe limited nature connectedness amongst respondents, which adds an important consideration to future survey approaches.

How can urban green space be planned for a ‘happy city’? Evidence from overhead- to eye-level green exposure metrics

The benefits of urban green spaces (UGSs) for human health have been extensively documented. Nevertheless, few studies have incorporated multidimensional UGS exposure indicators, and little is known about the effectiveness of different metrics that should be prioritized as nature-based solutions for improving mental well-being. This study aimed to investigate the associations between various UGS exposure metrics and residents’ expressed happiness (EH) as well as to determine the prioritization of metrics in Nanjing, China, a megacity with 9.5 million inhabitants. The study region was divided into 500 m × 500 m grids, and 330,000 geotagged posts from social media (Sina Weibo) were retrieved for sentiment analysis using the Natural Language Processing (NLP). We developed a systematic UGS exposure framework using satellite, land-cover, and street view-derived data, encompassing 17 indicators of composition and configuration at overhead level as well as street green space visibility and perceived quality at eye level. A regression model and Likelihood Ratio Test were used to examine the associations between various UGS indicators and EH and determine the prioritization of indicators. The results indicated that UGS size had the greatest potential for promoting residents’ EH, followed by overall greenness in the surrounding area, aggregated UGS, perceived quality, and visibility of street green spaces. This study also found that overhead-level metrics may be more effective than eye-level metrics in enhancing residents’ EH, although both perspectives showed significant associations with EH. These findings provide valuable insights into health-oriented landscapes and urban planning to promote the development of a “happy city,” particularly in low-green resource settings in low- and middle-income countries.

Analysis of the Response of the Carbon Sequestration and Oxygen Release Benefits of Urban Green Space to Plant Community Characteristic Factors

Analysis of the Response of the Carbon Sequestration and Oxygen Release Benefits of Urban Green Space to Plant Community Characteristic Factors

Assessment of the Spatial Variation of the Economic Benefits of Urban Green Spaces in a Highly Urbanized Area

Urban green spaces play a vital role in improving the quality of life and well-being of urban residents. However, their economic benefits in different spatial contexts within highly urbanized areas remain a critical yet understudied topic. This study delves into the economic value of urban green spaces in Cheongju City, Republic of Korea, and investigates the distance-decay features associated with the proximity of green spaces to residential properties. Two spatial econometric models were employed to address these questions: the spatially autoregressive (SAR) model and the generalized additive model (GAM). The SAR model was used to assess the economic benefits of urban green spaces, whereas the distance decay of these benefits was examined with the GAM. Empirical analyses revealed that small-sized parks or forests under 20 ha hold greater economic value when in proximity to residential areas compared to medium-sized parks or forests between 20 and 200 ha. Conversely, large parks or forests over 200 ha appeared to have a disamenity effect, negatively impacting property prices when in close proximity. The GAM’s smooth functions illustrated that the distance-decay effect was shorter for small-sized green spaces and exhibited an inverted U-shape for large-sized ones, resulting in a negative benefit of proximity. Our findings suggest that urban green spaces have a positive impact on property prices, but this effect may not apply uniformly to large-sized parks or forests. Therefore, to enhance the residents’ welfare, green infrastructure policies should prioritize the provision of accessible small- and/or medium-sized parks or forests near residential areas.

Travel preference: an indicator of the benefits of urban green space

ABSTRACT Urban Green Space (UGS) plays a crucial socio-cultural role in improving the quality of life. Assessment of quantity, quality, and accessibility determines whether the UGS are important social benefits. The travel preference of urban residents is a good indicator for the social relevance of UGS. This study integrates remote sensing and geographic big data to quantitatively analyze and evaluate the social benefits of urban green space. We propose a Green Social Benefit Index (GSBI) based on remote sensing retrieval and classification of urban green space. The GSBI is combined with the data on population mobility to investigate the influence of urban green space on residents’ behavior. The results show that urban residents prefer to move around in places with a higher quantity and quality of urban green space. The magnitude of the influence of urban green spatial features on population heat difference shows that accessibility > quantity > quality. The social benefits of urban green space are higher in middle centers compared to urban centers and city borders. The relationship between urban mobility and urban green space may suggest how to improve the distribution of green space in urban areas. This study could be a reference for the government planning department.

Study on the Supply and Demand Relationship and Enhancement of Cooling Benefits of Urban Green Spaces - A Case Study of Haidian District of Beijing Municipality

The balance between the health risks associated with urban heat and the cooling benefits provided by vegetation is crucial for managing thermal hazards in cities. In this study, we used remote sensing technology to analyze temperature inversion and calculate evapotranspiration of vegetation. Based on these findings, we assessed the extent to which cooling benefits match the demand in densely built-up urban areas. We also determined priority areas for planning interventions. The results show that: (1) there is an obvious spatial mismatch between the demand for high-temperature risk links and the supply of cooling benefits in the supply and demand matching of urban cooling benefits in Haidian District, Beijing. (2) The supply of cooling benefits in Haidian District of Beijing shows a pattern of weakening from the edge of the built-up area to the middle, in which green areas and water systems have a cooling radiation effect on the surrounding built-up environment. (3) The urban high-temperature risk zone in Haidian District of Beijing is related to the type of urban sub-surface, with large areas of continuous impermeable sub-surface becoming heat source points in the city. This study provides suggestions and guidance for heat risk urban planning based on vegetation adjustment in cities by exploring the role of urban trees on urban climate, and comparing the supply and demand of cooling benefits of urban green spaces.

High-resolution emission inventory of biogenic volatile organic compounds for rapidly urbanizing areas: A case of Shenzhen megacity, China

The effects of volatile organic compounds on urban air quality and the ozone have been widely acknowledged, and the contributions of relevant biogenic sources are currently receiving rising attentions. However, inventories of biogenic volatile organic compounds (BVOCs) are in fact limited for the environmental management of megacities. In this study, we provided an estimation of BVOC emissions and their spatial characteristics in a typical urbanized area, Shenzhen megacity, China, based on an in-depth vegetation investigation and using remote sensing data. The total BVOC emission in Shenzhen in 2019 was estimated to be 3.84 × 109 g C, of which isoprene contributed to about 24.4%, monoterpenes about 44.4%, sesquiterpenes about 1.9%, and other VOCs (OVOCs) about 29.3%. Metropolitan BVOC emissions exhibited a seasonal pattern with a peak in July and a decline in January. They were mainly derived from the less built-up areas (88.9% of BVOC emissions). Estimated BVOCs comprised around 5.2% of the total municipal VOC emissions in 2019. This percentage may increase as more green spaces emerge and anthropogenic emissions decrease in built-up areas. Furthermore, synergistic effects existed between BVOC emissions and relevant vegetation-based ecosystem services (e.g., air purification, carbon fixation). Greening during urban sprawl should be based on a trade-off between BVOC emissions and ecosystem benefits of urban green spaces. The results suggested that urban greening in Shenzhen, and like other cities as well, need to account for BVOC contributions to ozone. Meanwhile, greening cites should adopt proactive environmental management by using plant species with low BVOC emissions to maintain urban ecosystem services while avoid further degradation to ozone pollution.

Evaluation of the Seasonal Thermal Environmental Benefits of Urban Green Space in the Core Areas of Urban Heat Island

The core areas of the urban heat island (CAUHI) are the most concentrated and closely associated with humans, and they are key to managing the urban heat island (UHI). It is widely acknowledged that one of the best ways to reduce the risk of UHI is the creation of urban green spaces (UGSs). However, most of the current studies are based on the grid or block scale to explore the impact of UGS on UHI. The key to mitigating the urban heat environment is to plan urban UGS rationally in the CAUHI and explore the thermal environmental benefits of UGS. This paper provides an assessment model for the thermal environmental advantages of UGS and uses ten UGS metrics as explanatory factors for seasonal land surface temperature (LST). It quantitatively evaluates the potential differences in landscape characteristics between LST and UGS under different seasons, as well as the seasonal impact on CAUHI. This study found the following: (1) The overall distribution pattern of CAUHI shows a characteristic of spreading from the central part to the surrounding area. Most of the extremely significant CAUHI is dispersed in the center and southeastern regions of the city, where there is a much greater density of impermeable surfaces and essentially no distribution of CAUHI on the natural surface represented by forest land and water bodies. (2) Except for the aggregation index (AI), correlation analysis revealed that other metrics were highly connected with LST. Among the metrics used in this study, the largest patch index (LPI) and landscape division index (DIVISION) had the highest significant correlation with LST. Patch density (PD) was strongly negatively correlated with LST, indicating that fragmented and complex UGS patches could promote vegetation cooling. (3) The green environmental benefit index (GEBI) results showed a significant degree of spatial and temporal variability in the extracted CAUHI. This study found higher GEBI values in the larger thermal patches and lower GEBI in the surrounding smaller patches. The highest mean GEBI was found in winter, at 0.6083, and the largest distribution of large high-value patches. This study revealed the geographical and temporal variability of UGS and CAUHI, and with the help of the constructed scientific evaluation model, it offered suggestions for the optimization of urban greenery.