Types Of Urban Green Spaces Research Articles

Assessing the Impact of the COVID-19 Pandemic on Population Heat in Urban Green Spaces in China

Using mobile positioning data, the study assessed the impact of the COVID-19 pandemic on population heat in urban green spaces (UGSs) in Beijing, Shanghai, and Qingdao, China. The results were summarized as follows. The range of the spatial distribution of population heat in the three cities expanded in 2020 compared with that in 2019. Moreover, the shape of the hourly curve of population heat in UGSs changed from an inverted U-shape to a flat shape due to the impact of the COVID-19 pandemic. Restricted–non-fee-paying UGSs were least affected by the COVID-19 pandemic. Last, regression analysis revealed a significant influence of the change in population heat in hotel accommodation within UGS service areas on the change of population heat in UGSs. These findings provided new insights into the responses of recreational populations to policy decisions, risk perception of an infectious disease, and resilience to crises of different types of UGSs.

Measuring the relationships between various urban green spaces and local climate zones

Urban green spaces (UGS) improve living conditions in cities by mitigating the Urban Heat Island effect. While the cooling effect of UGS seems unequivocal, the relationship between the types of UGS and types of residential areas has not yet been well explored. In this study, we systematically analysed the cooling effect of 71 UGS in Prague, a central European city, on residential areas within 400 m of the UGS. The UGS are classified according to their spatial characteristics (size, shape, and tree density), and the residential areas according to three Local Climate Zones (LCZ 2, 5, 6) typical for European cities. The cooling effect is evaluated using a regression model of the Land Surface Temperature (LST) in residential zones according to the LCZ type and distance from the various UGS. The results show that compact UGS of 10–25 ha with dense trees have the most pronounced cooling effect. This type of UGS was associated with a mean decrease in LST within 400 m of 2.3 °C compared to the least effective UGS type (long with sparse trees) across LCZs. The results of the presented study can be applied in urban planning and urban design to improve microclimates in cities.

Network Science-based Analysis of Urban Green Spaces in Singapore

Future resilient cities need to integrate increasing density with the development of urban infrastructure and systems, especially natural and green systems. In Singapore’s post-Independence history, urban green spaces have evolved from leftover manicured grassy areas to biodiverse spaces with recreational areas and facilities. Singapore has recognized the need to provide varying access to the public to protect the more natural areas from too much public access. In urban green spaces, different areas have varying access depending on the scale and significance of the natural habitat. This paper uses Spatial Network Analysis — or the study of topological spatial relationships — to inform the planning and design of varying levels of access in urban green spaces in Singapore. It investigates the influence of spatial configuration of urban green spaces on pedestrian movement, by studying two types of urban green spaces in Singapore: one-north Park and Jurong Lakeside Garden. In both cases, the research utilizes weighted Spatial Network Analysis using sDNA, an analytical tool, to gain insights into the correlations between spatial connectivity and pedestrian movement distribution patterns. Empirical quantitative data are collected using infrared-sensor devices and manual pedestrian count and activity mapping. The methodology can provide the basis for the future planning and design of pedestrian infrastructure in urban green spaces in Singapore, and other high-density cities.

Connotation of urban ecological quality and the construction of its core index system.

Urban ecological quality is a necessary attribute for a healthy urban ecological state. In the period of urban development from large-scale incremental construction to stock improvement and quality transformation and incremental structural adjustment, there are many gaps between urban ecological quality construction and the requirements of the new stage. There is an urgent need to understand and integrate multiple needs, and construct an indicator system to promote the balance between supply and demand of ecological resources and efficient use to enhance urban ecological quality. We used the analysis methods of CiteSpace literature analysis, relevant policy collation and questionnaire survey to systematically sort out the key points of concern and differences in understanding among the three perspectives of science, government, and the public. The results showed that all the three perspectives, i.e., science, government, and public, were more concerned with indicators related to urban green space, gray infrastructure, and policy control. The concerns of science and public addressed indicators related to urban green space the most, while government being most concerned with indicators related to gray infrastructure. Based on those findings, we developed a core urban ecological quality index system with a total of 25 indicators, covering 10 major types of urban green space, environmental quality, gray infrastructure, and so on.

Nature interactions and their associations with connection to nature and well‐being varies between different types of green spaces

Abstract Increasing urbanization leads to greater loss of interaction with nature over time in a process described as the extinction of experience. Urban green spaces are some of the most prominent sites where individuals can access and interact with nature in urban areas. There is currently a gap in research around how different types of urban green spaces influence nature interactions, their relationships with human well‐being, and what influences these relationships. Greater knowledge of these connections can aid in the design of green spaces that can increase human well‐being and mitigate the extinction of experience. We conducted a visitor survey in an urban nature site in Israel, which consists of both a garden and protected nature area dominated by natural Mediterranean vegetation. We aimed to understand how visitors interacted with nature at the site and how the interactions differed between the protected nature area and the garden. Both frequency of interactions and number of total interactions were measured. We also investigated the extent to which these interactions associated with nature relatedness (using the NRS scale), well‐being (using overall happiness and psychological well‐being) and the variables that influence nature interactions and well‐being outcomes. Visitors who visited the protected nature area were more likely to interact with nature than those who only visited the garden. Nature interactions were significantly associated with an individual's nature relatedness and their perception of whether the site functioned more similarly to an urban park or a protected nature area. Living nearby was associated with greater attachment to and identity with the site, but also lower frequency of nature interactions. Nature interactions were associated with measures of well‐being, including overall happiness, attachment, identity and reflection, but varied depending on well‐being measures. Interactions with nature, and their benefits, are not equal based on both actual opportunity for interaction and perceptions of green spaces. Incorporating user preferences of urban green spaces for more wild nature that individuals also perceive as wilder may allow for greater interaction. Developing urban nature sites that allow for greater interaction can promote human well‐being associated with interactions and combat extinction of experience. Read the free Plain Language Summary for this article on the Journal blog.

Urban soil quality deteriorates even with low heavy metal levels: An arthropod-based multi-indices approach.

Urban-induced habitat conversion drastically changes soil life in a variety of ways. Soil sealing, human disturbance, habitat fragmentation, industrial and vehicular pollution are the main causes of urban soil degradation. Soil arthropods, as one of the most abundant and diverse group of soil fauna, are involved in many soil processes that are of great importance in maintaining soil health and multifunctionality. Nevertheless, soil quality is still mainly characterized by physical, chemical, and microbiological parameters. Here, we assessed and compared the biological soil quality in woody (REF: reference forest, REM: remnant forest) and nonwoody (TURF: public turfgrass, and RUD: ruderal habitat) types of urban green spaces along a disturbance and management intensity gradient in the Budapest metropolitan area (Hungary), using community metrics and soil arthropod-based indicators. Vegetation cover and landscape characteristics of study sites were quantified through vegetation and urbanization indices, respectively. Basic soil properties, total and bioavailable concentrations of the main heavy metals (Cd, Co, Hg, Ni, Zn) were also measured. Acari, Collembola, and Hymenoptera (mainly Formicidae) were the most abundant groups. Litter-dweller taxa, particularly Protura, proved to be the most sensitive to urban disturbance. Representatives of Hemiptera, Diptera, Symphyla, and Pauropoda were common in low densities. The taxonomic diversity of soil arthropod assemblages in nonwoody and woody habitats was similar. Although the integrated faunal indices showed no differences among soil habitat types, they provided different responses and, consequently, different information. Our findings demonstrated that the biological quality and arthropod community structure of soils were strongly impacted by soil C/N and heavy metal contamination. We found that low and moderate levels of pollution have adverse effects on edaphic fauna, suggesting biological degradation of soils, even below pollution limits. Nevertheless, more disturbed urban green spaces have been shown to play a significant role in maintaining belowground biodiversity, thereby soil functions.

Understanding Urban Green Spaces Typology’s Contribution to Comprehensive Green Infrastructure Planning: A Study of Canberra, the National Capital of Australia

The urban densification agenda for the Australian Capital Territory announced in 2012 as well as the climate-related impacts (such as flood and rising temperature) have made the role of green infrastructure in this city more critical than at any other time. The Living Infrastructure Plan for Canberra was proposed by the local government in 2019 and it is currently being developed. However, there is a lack of understanding of the variety of urban green infrastructure characters, associated urban green space types, and their contributions to the green infrastructure plan. Therefore, this research aims to study the existing types of urban green infrastructure and green spaces in Canberra and investigate their potential sociocultural and ecological contributions that need to be considered in developing green infrastructure plans. To achieve this, we employed a socioecological approach and a mix of methods including a literature review, a review of policy documents, semi-structured interviews with experts, geospatial data, and field observation. Ten main urban green infrastructures were identified in Canberra and associated green spaces and their ecosystem services were discussed. Finally, a framework was delineated to suggest recommendations for the identified urban green infrastructure types with the aim of improving the green infrastructure planning practice by enhancing, preserving, and reinforcing green spaces. The findings provide a foundation for coordinating green infrastructure decision making and suggest a framework for designing high-quality and multifunctional green spaces. The study concludes that further investigation is required to comprehend the diversity of urban green infrastructures and their ecosystem services, co-benefits, synergies, and trade-offs.

Classification of Urban Green Space Types Using Machine Learning Optimized by Marine Predators Algorithm

The accuracy of machine learning models is affected by hyperparameters when classifying different types of urban green spaces. To investigate the impact of hyperparametric algorithms on model optimization, this study used the Marine Predators Algorithm (MPA) to optimize three models: K-Nearest Neighbor (KNN), Support Vector Machines (SVM), and Random Forest (RF). The feasibility of the algorithm was illustrated by extracting and analyzing park green space and attached green spaces within the fifth-ring road of Beijing. A dataset of urban green space type labels was constructed using SPOT6. Three optimized models, MPA-KNN, MPA-SVM and MPA-RF, were constructed. The optimum hyperparameter combination was chosen based on the accuracy of the validation set, and the three optimized models were compared in terms of the Area Under Curve (AUC) value, accuracy on the test set, and other indicators. The results showed that applying MPA improves the accuracy of the validation set of the KNN, SVM, and RF models by 4.2%, 2.2%, and 1.2%, respectively. The MPA-RF model had an AUC value of 0.983 and a test set accuracy of 89.93%, indicating that it was the most accurate of the three models.

Green Spaces over a Roof or on the Ground, Does It Matter? The Perception of Ecosystem Services and Potential Restorative Effects

Cities are becoming more vulnerable to climate change and need appropriate adaptation measures. Previous studies demonstrated that urban green spaces provide multiple ecosystem services, improving the health and well-being of urban residents. Yet different urban green spaces provide different services—provisioning, regulating, cultural, or supporting ones. This work aims first to understand if urban green space users perceive the different supplies of provisioning and regulating services offered by different types of urban green spaces. Second, this work seeks to determine if green roof type conditions, as well as vegetation type and access, affect the users’ perceptions of the cultural ecosystem services. This work presents the results of an image-based online survey performed among 376 Portuguese undergraduate students between March and April 2021. The survey is based on nine alternative urban space designs, varying the roof access type and vegetation types. The results show a general preference for urban green spaces with more vegetation, regardless of the type of roof, and a general preference for green spaces with better accessibility. In addition, users’ preference for no-roof conditions appears to be linked to the abundance of vegetation and quality of urban design and not to awareness of an existing roof structure and its influence on the natural processes.

Towards an Ontology of Urban Green Spaces

Growing interest in Urban Green Spaces (UGSs) has led to the discovery of the wide spectrum of services that they either provide or support. Yet, there is persistent confusion about what types of green spaces exist and how they should be classified. Current Land Use (LU) and Land Cover (LC) maps both at European and national levels are either lacking or misclassify various types of UGS, thus underestimating the actual amount of green space that a city offers its citizens. In this paper, we highlight reasons for green space misclassification and suggest an ontology of UGSs. Our ontology takes into account both the physical appearance of UGSs and their semantics. We characterize the physical appearance using four different LC classes while providing semantics using unique characteristics expressed as rules. The ontology proposed emphasizes in particular frequently disregarded small and heterogeneous UGSs and can be used as a basis for their precise identification and mapping.

Residents’ Preference for Urban Green Space Types and Their Ecological-Social Services in China

With accelerated urbanization and rapid expansion of the urban population, there is an increasing demand among urban residents for urban green spaces (UGS) and the ecosystem services (ES) they provide. The existing research mostly focuses on the spatial pattern of UGS types and ES provided by different UGS but ignores that residents’ preferences for UGS types and their ecological and social services should also be incorporated into the spatial planning decision-making of UGS. A web-based questionnaire was distributed randomly in urban areas of China and 1050 valid samples were collected in this study. Descriptive statistical analysis methods, structural equation modeling, and Pearson correlation were used to parse the residents’ preference for both UGS types, ecological–social services, and the relevant impact factors. The results showed that: (1) the strongest preference of residents for UGS and their ecological and social services are the attached green space, “beautifying the city”, and “physical and mental relaxation”, respectively; (2) the leading factors for residents’ access to UGS are “age” and “sufficient time”, except for attached green space. The most significant effect on both ecological and social services is the “season” factor. Further, “social gathering” and “exercise” are the services most and least likely to be affected. (3) Future planning of UGS should reinforce construction of attached green space and improve the aesthetics-related ES they provide. Construction of park green space and plaza green space should be enhanced to deal with the aging trend in society. Further, maintaining the existing construction of attached green space and building regional green space are crucial to the sustainability of UGS and its ecological–social services.

Which soil microbiome? Bacteria, fungi, and protozoa communities show different relationships with urban green space type and use-intensity

Exposure to diverse microbial communities early in life can help support healthy human immune function. Soil microbiomes in public and private urban green spaces are potentially important sources of contact with diverse microbiomes for much of the global population. However, we lack understanding of how soil microbial communities vary across and within urban green spaces, and whether these patterns vary across microbial kingdoms; closing this knowledge gap may help us optimise green spaces' capacities to provide this ecosystem service. Here we explore the diversity and community compositions of soil microbiomes across urban green space types in Tasmania, Australia. Specifically, we analysed soil bacterial, fungal, and protozoan diversity and composition across private backyards and public parks. Within parks, we conducted separate sampling for areas of high and low intensity use. We found that: (i) bacteria, fungi, and protozoa showed different patterns of variation, (ii) bacterial alpha-diversity was lowest in low-intensity use areas of parks, (iii) there was relatively little variation in the community composition across backyards, and high and low intensity-use park areas and (iv) neither human-associated bacteria, nor potential microbial community function of bacteria and fungi differed significantly across green space types. To our knowledge, this is the first urban soil microbiome analysis which analyses these three soil microbial kingdoms simultaneously across public and private green space types and within public spaces according to intensity of use. These findings demonstrate how green space type and use intensity may impact on soil microbial diversity and composition, and thus may influence our opportunity to gain healthy exposure to diverse environmental microbiomes.

Species Composition and Diversity of Middle-Aged Trees among Different Urban Green Space Types and Tree Age Classes in Changchun, Northeast China

Middle-aged trees refer to trees aged between 50 and 99 years, which are the reserve resources of old trees (trees ≥ 100 years of age). They are vital parts of the urban ecosystem, with important ecological, landscape, cultural, and historical value. Conservation of middle-aged trees in urban areas is important for the development of large old trees in the future. In this study, we investigated the middle-aged trees in Changchun city and analyzed the species composition and diversity characteristics of different urban green space types and tree age classes. The results showed that there were 72 species and 22,376 plants of middle-aged trees in Changchun city, and the coniferous species prevailed. The top five species with a high importance value (IV) were Pinus tabuliformis var. mukdensis, Lavix olgensis, Salix matsudana, Ulmus pumila, and Abies holophylla. Green space type and tree age were important factors influencing the richness and diversity of middle-aged trees. Tree growth spaces were relatively sufficient, and land use was stable for park green spaces (PGS) and attached green spaces (AGS), which resulted in the abundant, richer, and diverse species richness (SR) of middle-aged trees. Road green spaces (RGS) and square green spaces (SGS) had fewer trees and lower species richness, Margalef richness index (dMa), Shannon–Wiener index (He) and evenness index (Je) which could be attributed to the high intensity of human interference and poor environmental quality. The SR of middle-aged trees decreased with an increase in age class, and the values of SR in Age Class 80–89 years and Age Class 90–99 years were lower than in Age Class 50–59 years. Age Class 70–79 years had the lowest values of dMa, He, and Je, which need to be protected urgently. The results of this study can provide a basis for the conservation and management of middle-aged trees in urban areas and the choice of species for urban greening.

Comparing green spaces provision and accessibility indicators over a latitudinal gradient and multiple climate zones

Monitoring urban green space (UGS) indicators is key to assessing progress against the UNs sustainable development goals (SDGs). Within these indicators, measuring the provision of UGS as well as its accessibility is considered a major objective. However, neither the relationship between the two indicators, nor differences related to different types of UGS have been adequately evaluated. In this paper, these two indicators are calculated and analyzed for four size-based types of UGS and for 69 municipalities, which are part of the 16 regional capital cities of Chile. For the provision indicator, the average calculated over all municipalities does not reach the often proposed standard of 11 sq.m/inhab., but only 5.29 sq.m/inhab. Regarding the accessibility indicator, when a walking speed of 4 km/h is considered, the smaller residential green spaces have the highest accessibility (65 % of the population have access), but accessibility for larger GS is low. When a walking speed of 2 km/h is assumed, then accessibility drops to 29 %, 5 %, 5 % and 5 % respectively. We found that calculation results for the four types of UGS are statistically different, and therefore one type cannot replace another in case of monitoring: Higher UGS provision does not guarantee higher accessibility.

Dwelling in the city: A qualitative exploration of the human-nature relationship in three types of urban greenspace

The combination of increasing numbers of people in cities, coupled with decreasing levels of biodiversity, is hypothesised to result in the extinction of experience, or the continued disintegration of the human relationship with the natural world. We use the concepts of sense of place and dwelling to investigate the human relationship with nature in cities by considering the emotional connections between people and places. We conducted ‘go-along’ interviews with 21 residents of Hamilton, New Zealand, to explore the significance of neighbourhood parks and home gardens in the lives of urban residents. Our study highlights the importance of greenspaces in cities to the physical, mental and social health of local residents. Bush parks provided the best opportunities for respondents to observe nature and thereby escape the stress of city life. Participants wanted a variety of parks which would meet the range of their community’s needs and provide habitat for wildlife. Proximity and frequent use of parks resulted in a sense of ownership and responsibility which led to concrete action, such as participation in ecological restoration of valued greenspaces. Providing high quality natural greenspaces within walking distance of residents’ homes disrupts the extinction of experience by fostering positive personal experiences of nature, crucial for the health and wellbeing of people and for native biodiversity.

The interaction between human demand and urban greenspace supply for promoting positive emotions with sentiment analysis from twitter

Urban greenspace (UGS) plays an essential role in providing benefits to human well-being in cities. Understanding how to promote positive emotions is vital for planning and designing a UGS supply that satisfies human demand. However, little is known about the impact on human emotions of the interaction of cross-cultural demands and different greenspace supplies. This study explored different human emotions about UGS from a cross-linguistics perspective using social media data (SMD). Sentiment analysis was conducted with geolocated Twitter data from 26 UGSs in Berlin to acquire sentiment value and tweet number of tweets. The sentiments of English and German tweets in four types of UGSs were compared, and the correlations with 11 physical and activity landscape characteristics were identified. The results demonstrate that (1) sentiment value and tweet number of tweets were distinctive in the 26 greenspaces, showing different emotions responding to the different types of UGS; (2) the cross-linguistic demands were different in the comparison of English and German tweets, with the highest sentiment values in gardens and parks, respectively; and (3) the sentiment of the all, English and German tweets was respectively correlated with open space, interesting plants and swimming infrastructure. The activity landscape made the highest contributions to positive emotions even with cross-cultural differences. The results of the study suggest that human emotions can indicate whether the UGS supply meets the human demand and that specific landscape characteristics can enhance positive emotions to maintain human demand in cross-cultural background, especially considering the increasing attention to immigrants and natives. Thus, human emotions identify the interaction between UGS supply and human demand based on SMD to improve UGS outcomes for urban sustainability and public well-being.

College squirrels gone wild? Using Sciurus carolinensis behavior to assess the ecosystem value of urban green spaces

Predicted rapid increases in urbanization in the face of accelerating biodiversity loss underscores the need for urban development that promotes, rather than displaces, native plants and animals. One approach for increasing urban biodiversity is through the development of “green infrastructure”. Although research has explored urban-rural gradients and the overall value of urban green infrastructure, few studies have investigated the habitat value for wildlife of different types of urban greenspace. Here, we use a well-established metric in ecology, giving up-densities (GUDs), to compare foraging costs for a common urban wildlife species, the eastern gray squirrel (Sciurus carolinensis), among three green infrastructure categories: municipal parks, college campuses, and residential yards. We found that GUDs for gray squirrels did not differ significantly among location categories after controlling for proximity to roads, but proximity to roads was associated with significantly higher GUDs in all locations. In an explicit test, we also found that both proximity to roads and traffic volume were associated with higher GUDs. We also found that maximum distance from roads was significantly higher for campuses and parks than for residential yards, indicating a greater proportion of the area of campuses and parks is “away from roads” compared to residential yards. Our results indicate that vehicle traffic may contribute significantly to an “urban landscape of fear” for gray squirrels and suggest that campus and park configurations that reduce road effects could improve habitat quality for squirrels and possibly other animals.

Measuring spatio-temporal heterogeneity and interior characteristics of green spaces in urban neighborhoods: A new approach using gray level co-occurrence matrix

Urban green space (UGS) is a complex and highly dynamic interface between people and nature. The existing methods of quantifying and evaluating UGS are mainly implemented on the surface features at a landscape scale, and most of them are insufficient to thoroughly reflect the spatial-temporal relationships, especially the internal characteristics changes at a small scale and the neighborhood spatial relationship of UGS. This paper thus proposes a method to evaluate the internal dynamics and neighborhood heterogeneity of different types of UGS in Leipzig using the gray level co-occurrence matrix (GLCM) index. We choose GLCM variance, contrast, and entropy to analyze five main types of UGS through a holistic description of their vegetation growth, spatial heterogeneity, and internal orderliness. The results show that different types of UGS have distinct characteristics due to the changes of surrounding buildings and the distance to the built-up area. Within a one-year period, seasonal changes in UGS far away from built-up areas are more obvious. As for the larger and dense urban forests, they have the lowest spatial heterogeneity and internal order. On the contrary, the garden areas present the highest heterogeneity. In this study, the GLCM index depicts the seasonal alternation of UGS on the temporal scale and shows the spatial form of each UGS, being in line with local urban planning contexts. The correlation analysis of indices also proves that each type of UGS has its distinct temporal and spatial characteristics. The GLCM is valid in assessing the internal characteristics and relationships of various UGS at the neighborhood scales, and using the methodology developed in our study, more studies and field experiments could be fulfilled to investigate the assessment accuracy of our GLCM index approach and to further enhance the scientific understanding on the internal features and ecological functions of UGS.

Seasonal variations in soil–plant interactions in contrasting urban green spaces: Insights from water stable isotopes

• Stable water isotope monitoring in soil and vegetation in green spaces to understand partitioning. • Soil evaporation higher with grassland cover. • High turnover of water particular in shallow soil under grassland. • Depending on moisture conditions strong seasonal root water uptake of trees. We used stable isotopes to help assess ecohydrological partitioning in different types of urban green space in the city of Berlin. We focused particularly on the role of the near-surface of soils as a crucial interface that determines shallow subsurface (“non-Hortonian”) flows and water cycling in cities. Grassland soils tended to be wetter than soils under continuous urban tree cover, and areas around individual trees in parks or on streets. This is consistent with greater interception losses and transpiration from trees. Soil water isotopes showed distinct seasonality in response to precipitation inputs, mixing with resident soil water and the effects of evaporative fractionation. Effects of fractionation were most marked under individual trees and grasslands, where the effects of evaporation on the isotopic composition of percolating water from the upper 0.1 m of the soil was also most pronounced. Isotope dynamics showed that under all land covers, the upper soils had rapid water turnover and were dominated by younger water (<2 months old). At depths of 0.4 m, more damping was evident with water being ∼ 6 months old. Isotopes in plant water also show seasonal variations which were more marked in grasses than trees. Mixing models revealed that grass most likely recycled shallow, younger soil water in transpiration, whilst trees were more dependent on deeper, older sub-soil and groundwater sources. These preliminary results highlight the urgent need for a much greater understanding of water movement and cycling in the shallow critical zone of urban green spaces. This is essential to manage future resilience to climate change and understand the trade-offs between partitioning urban water between evapotranspiration and groundwater recharge.

Urban Green Space Planning and Design for Sponge City

Urban green space designed based on the concept of sponge city is an important sponge carrier. Guided by the theory of landscape ecology, this article introduces the artificial neural network (ANN) model and uses the research method of landscape pattern index to establish a model for the proportion of urban green space types and the characteristics and dynamic changes of landscape spatial pattern. Based on the optimal landscape pattern index, the theoretical value of the optimal proportion of ecological green space, community park, comprehensive park, roadside green space, protective green space, and strip green space is obtained through the model. Based on this proportion value, combined with the ANN model, the reasonable evaluation results of patch density and average perimeter area ratio, spread degree, and diversity index of planned green space are obtained. Then, according to the influence of various green spaces on each landscape index, the development trend of urban green space construction in the future is predicted.