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Article
Plant Sciences
Jinguang Zhang
Summary: Studies have shown that exposure to green spaces has various health benefits. However, the distribution of green spaces in cities is uneven, resulting in green injustice. This study comprehensively assessed multiple green space exposures, considering both 2D spatial exposures and 3D visual exposures, and found that inequalities in green space exposure are more pronounced in terms of quality and proximity. These findings can inform environmental planning and policy strategies to address health issues and green injustice in urban areas.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Construction & Building Technology
Wentao Yang et al.
Summary: Understanding population density at a fine spatial scale is beneficial for urban management and planning. A two-level random forest method is proposed in this research to predict the population distribution of urban functional zones. Experimental results show that the proposed method is effective in providing useful urban management and planning information.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Shanwen Zheng et al.
Summary: Planning and managing ecological space is crucial for ecological sustainability and well-being in high-density mega-cities. However, the relationship between ecological space and people's perception of cultural ecosystem services (CES) is still unclear. This study investigated the current situation of ecological space in Beijing's core area and explored people's use habits and CES perception levels. The findings suggest that focusing on historical ecological space and improving residents' accessibility can effectively promote CES perceptions in high-density areas.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Pavlos Tsagkis et al.
Summary: In this paper, a machine learning approach is used to apply an urban growth model to the five largest cities in Greece. The researchers develop a methodology to collect, transform, and analyze historical spatial data to train an artificial neural network model. The results provide policymakers and urban planners with a tool to analyze future development scenarios and make informed decisions.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Ecology
Carolien van Velzen et al.
Summary: Green spaces around schools vary in availability across different socioeconomic groups in the Netherlands, with lower-income and less-educated neighborhoods having less access to green school outdoor environments. However, schools with subsidy schemes supporting schoolyard greening tend to have more green spaces. To promote environmental justice, comprehensive greening subsidy schemes should be implemented to ensure equal access to schoolyard green spaces for every child.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Construction & Building Technology
Yuan Han et al.
Summary: This study compared green provisions and inequality in 1013 cities around the globe, and found that large cities in high-income countries have more adequate and equitable urban green space resources compared to low-income countries. Population density has the strongest association with urban green space provision and inequality, while climate has a higher influence on green space compared to human activities in most regions.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Plant Sciences
Yuanyuan Chen et al.
Summary: Green space allocation aims to support sustainable development goals and mitigate conflicts between supply and demand. Previous studies have shown environmental inequity due to uneven population distribution and natural green space locations. This study sets three scenarios to coordinate urban green space provision and demand at a block scale and applies a location-allocation model to identify potential sites for new green spaces in Wuhan. The simulations of these scenarios highlight the improvement of green equity and emphasize the importance of accessibility in allocating new green areas.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Construction & Building Technology
Jie Chen et al.
Summary: Urban Green Spaces (UGSs) provide ecosystem services to cities, but their distribution is often uneven. This study analyzes the relationship between urban form and UGS equity in shrinking cities in Japan for the first time. The results show that partial shrinkage affects equitable UGS development, compact populations facilitate equitable development, and the shape and continuity of urban patches affect UGS distribution. Urban size, centrality, compactness, and fragmentation also impact UGS distribution. The findings provide strategies for promoting equitable UGS distribution in shrinking cities.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Qi Wang et al.
Summary: Excessive heat in urban areas affects thermal comfort and livability. Understanding the correlations between urban features and land surface temperature (LST) is crucial for improving local thermal environment. In this study, machine learning models were used to analyze the relationship between urban features and ECOSTRESS LST in a 24-hour cycle, using Beijing, China as an example. The findings showed that the impact of urban features on LST was mainly dependent on sunlight intensity, with buildings and vegetation coverage having the most significant influence in the morning and afternoon respectively.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Biodiversity Conservation
Xinli Ke et al.
Summary: Urban green space (UGS) is important for sustainable urban development and improving inhabitants' well-being. Equal access to UGS is crucial, but non-park green spaces (NPGS) often get overlooked. This study in Wuhan, China, compared scenarios with and without considering NPGS and found that considering NPGS improved UGS accessibility equity by 79.32%. Gini coefficients also showed improved equity in the scenario considering NPGS. This study emphasizes the importance of considering NPGS for improving UGS accessibility equity, especially in megacities.
ECOLOGICAL INDICATORS
(2023)
Article
Biodiversity Conservation
Zhaowu Yu et al.
Summary: An increasing number of studies are being conducted to improve the evaluation system for assessing greenspace exposure, but it is becoming more challenging to apply the evaluation index to landscape planning. In this study, a simple and actionable index system called the Greenspace Exposure Inequity index (GEII) is proposed for assessing the inequity of residents' greenspace exposure. The feasibility and effectiveness of GEII are tested using the case of Shanghai.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Studies
Li He et al.
Summary: This study presents a new perspective on the urbanization-environmental nexus by analyzing the impacts of ecological policy considerations on urbanization. The study finds that such considerations have negative impacts on urbanization, especially in central and western regions of China and regions without pollution rights trading schemes. The study identifies two effective mechanisms for realizing these negative effects: reducing urban gas supply and labor-intensive industrial output.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Ecology
Amy Phillips et al.
Summary: Access to urban green spaces (UGS) is important for people's wellbeing. However, current models have limitations in accurately reflecting the actual travel distances people make to reach UGS and considering UGS quality. To address this, researchers propose a methodology that integrates user perception and actual travel distances in a quality-accessibility (QA) analysis. Information on travel distance and quality is gathered from a public participation GIS survey in the Brussels Capital Region. The analysis highlights inequalities in access to specific UGS experiences and can help planners prioritize interventions where they are most needed.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Computer Science, Artificial Intelligence
Marcia L. Baptista et al.
Summary: Maintenance decisions in domains like aeronautics rely heavily on predicting component and system failures using data-driven techniques. However, the lack of interpretability has been a challenge for these techniques. This study examines the correlation between features used in data-driven prognostic approaches and established metrics, using the SHAP model from explainable artificial intelligence. The results show that SHAP values closely align with the prognostic metrics, highlighting the significance of model complexity in explainability.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Environmental Sciences
Yiyi Huang et al.
Summary: This study evaluated urban green space accessibility (UGSA) in 366 cities in China from 1990 to 2015 and found that overall UGSA decreased significantly. UGSA in the southeastern region was consistently lower than that in the northwestern region, but UGSA in large, medium, and small cities started to increase after 2010. During rapid urbanization, the equity of UGSA among cities gradually improved, with lower economic development cities having higher UGSA. Urban spatial expansion led to a decrease in UGSA, but with spatiotemporal heterogeneity.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Zhongxu Zhao et al.
Summary: This study established an index system for evaluating progress toward the SDGs related to the supply of public services in the context of China's rapid urbanization based on the UN-SDGs. The spatial and temporal changes in urbanization and public service-related SDGs at the provincial level in China from 2000 to 2015 were analyzed, showing that land urbanization significantly affected progress toward provincial public service-related SDGs in China more than population or economic urbanization.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Biodiversity Conservation
Linming Li et al.
Summary: This study analyzed the spatial patterns of land use and ecosystem service value (ESV) in Hainan Tropical Rain Forest National Park using a classical spatial autocorrelation model. The results showed that forests and water had high ESV values, while villages and surrounding farmlands had low ESV values. Land use intensity was negatively correlated with ESV.
ECOLOGICAL INDICATORS
(2022)
Article
Biodiversity Conservation
Minwen He et al.
Summary: Rapid urban expansion has worsened the degradation of ecosystem services. This study examines the allocation of ecosystem services provided by blue-green infrastructure (BGI) in Wuhan, with a focus on regulating services. The results show significant inequities in the allocation of regulating services based on population, while allocation based on space is relatively equitable. The study also identifies areas with sufficient and insufficient allocation of regulating services, providing insights for urban planning and interventions.
ECOLOGICAL INDICATORS
(2022)
Article
Computer Science, Information Systems
A. Stewart Fotheringham et al.
Summary: Models capturing spatially varying processes are extensively used in social and environmental sciences. These models excel in representing relationships that change across locations through parameter estimates. This paper examines the concept, operation, and empirical aspects of the 'bandwidth' parameter in the framework of geographically weighted regression, a frequently used local spatial model. It outlines how bandwidth relates to three characteristics of spatial processes: variation, dependence, and strength.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Ecology
Longfeng Wu et al.
Summary: Green space construction can lead to gentrification, as observed in Beijing, where new parks have increased housing prices. However, the impact of parks on gentrification varies based on different factors. These findings can inform inclusive urban greening policies and planning schemes.
LANDSCAPE AND URBAN PLANNING
(2022)
Article
Environmental Studies
Chao Wu et al.
Summary: This paper measures the concept of visual contact with green space using street view images and community photos, and constructs random forest regression and geographically weighted regression models to explore the capitalization effects of visual contact with green space on housing prices in Shenzhen. The results show that green visual contact is more important for housing prices compared to other indicators, and the effects of visual contact with green space vary spatially within and outside communities.
Article
Ecology
Simona R. Gradinaru et al.
LANDSCAPE AND URBAN PLANNING
(2022)
Article
Biodiversity Conservation
Zhenzhen Liu et al.
Summary: Accurate acquisition of cultivated land information is important for agricultural management, agro-ecological environment monitoring, and national food security. This study uses the U-Net semantic segmentation model in deep learning to extract cultivated land information by designing different model training experiments with various parameter combinations. The results show that the patch size has the greatest influence on classification accuracy, and selecting reasonable combinations of bands, backbone models, patch size, epoch, and sample categories can improve the accuracy of predicted results. Additionally, the appropriate patch size for cultivated land extraction is between 224 x 224 pixels and 256 x 256 pixels, and multi-classification is more effective than binary classification.
ECOLOGICAL INDICATORS
(2022)
Article
Plant Sciences
Amy Phillips et al.
Summary: As cities become more populated, the importance of urban green spaces (UGS) is increasing. In this paper, the researchers use spatial analysis to explore the differences in UGS usage, choice, and satisfaction based on usage patterns and place of residence. They also identify the factors that attract or repel individuals from using UGS. The findings reveal the relationship between usage patterns and UGS choice and experience, as well as the impact of disadvantaged groups on UGS usage and satisfaction.
URBAN FORESTRY & URBAN GREENING
(2022)
Article
Environmental Studies
Ruoyu Wang et al.
Article
Multidisciplinary Sciences
Bin Chen et al.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Zhiming Li et al.
Summary: Evaluating park equity can help guide the advancement of sustainable and equitable space policies. Previous studies focused mainly on accessibility, ignoring selectivity, convenience, and residents' recognition. This study integrated spatial and social equity, developing a multidimensional framework to evaluate park equity and reduce inequality in park access.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Studies
George Halkos et al.
Summary: This study assesses the factors influencing the economic value of visitor experience in urban parks in Attica, Greece. The results indicate that age, education level, wage, and employment status have an impact on people's willingness to pay for park visits. Additionally, motivations for visiting, expenses, and previous experiences with entry tickets also play a significant role in decision making. The average willingness to pay for entry into urban parks is 3.56 Euros.
Article
Environmental Sciences
Daniel L. Sax et al.
Summary: As the understanding of green gentrification becomes obscured, this research presents an urban green gentrification framework to bring clarity to the conversation. Three main dimensions of green gentrification are identified - conceptual foundations, design and intent, and socio-spatial change - along with six related sub-dimensions. Responding to green gentrification requires considering structural influences and other drivers of gentrification, and implementing trans-dimensional strategies.
ENVIRONMENTAL SCIENCE & POLICY
(2022)
Article
Green & Sustainable Science & Technology
He Yang et al.
Summary: Urban green space planning and design have a significant impact on economic development, ecological environment, and urban public health. Promoting environmental justice in urban green space and improving the health and well-being of urban residents are critical issues to be addressed within the context of global urban sustainable development goals.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Ecology
Meixu Chen et al.
Summary: This study investigates whether user-generated images can be used to monitor and understand housing prices and how they influence real estate values, using machine learning algorithms like random forest and gradient boosting machines for modeling integration. The findings reveal that geotagged Flickr images can increase the model's accuracy.
LANDSCAPE AND URBAN PLANNING
(2022)
Article
Environmental Sciences
Chao Xu et al.
Summary: The study finds that increasing the amount of urban green space (UGS) can help reduce the average land surface temperature (LST) in cities, and promoting the spatial equity of UGS distribution can reduce the spatial aggregation of LSTs within urban areas, thereby improving the urban thermal environment.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Construction & Building Technology
Ylenia Casali et al.
Summary: This paper conducts a scoping review of machine learning studies that utilize geospatial data to analyze urban areas. It identifies the most prominent topics, data sources, ML methods, approaches to parameter selection, patterns, and challenges in the use of machine learning. Furthermore, it highlights knowledge gaps in ML methods for spatial data science and data specifications to guide future research.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Tianhan Lan et al.
Summary: Heat stress poses a threat to public health, and urban green space (UGS) offers climate regulation services. This study assessed integrated accessibility (IA) to UGS and found that it generally decreased along the rural-urban gradient. The study also revealed social inequity in the accessibility of public and private UGS, as indicated by the correlation between IA and house prices.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Environmental Sciences
Stefanos Georganos et al.
Summary: Geographical Random Forest (GRF) is a novel implementation of the RF algorithm in geographical space, useful for predicting population and exploring relationships. Compared to traditional 'aspatial' implementations, GRF shows better predictive performance and lower errors when an appropriate spatial scale is selected. Additionally, GRF can visualize relationships and aid in understanding spatial heterogeneity.
GEOCARTO INTERNATIONAL
(2021)
Article
Biodiversity Conservation
Longfeng Wu et al.
Summary: This study addresses the gap in investigations on equality of access to green space in urban areas by developing two indexes based on the Gini Coefficient to compare the inequality in urban green spaces across all 341 prefecture-level cities in China. The research findings show significant disparities in urban green space equality, which are related to GDP per capita, population density, and urban land area.
ECOLOGICAL INDICATORS
(2021)
Article
Plant Sciences
Shiliang Su et al.
Summary: This study analyzes the impact of landscape amenities on rental prices in five Chinese megacities using big data from online housing advertisements. Through natural language processing and sentiment analysis, it reveals the common themes and sentiment associated with landscape amenities in housing ads, as well as the varying strength of sentiment across different cities. Hierarchical hedonic models show the significant effect of landscape amenities on rental prices in Beijing, Hangzhou, and Wuhan.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Development Studies
Izzy Yi Jian et al.
HABITAT INTERNATIONAL
(2021)
Article
Plant Sciences
Dong Liu et al.
Summary: Urban green space has positive impacts on physical and mental health, but studies suggest disparities in access to UGS among different racial/ethnic and income groups. White-majority census tracts generally have better UGS accessibility compared to minority-dominated tracts, with black-majority tracts having higher accessibility than Hispanic-majority tracts. There is also income-based UGS accessibility inequality within racial/ethnic groups, with the most inequity found in black-majority census tracts.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Plant Sciences
Huaizhen Zhu et al.
Summary: Through a virtual reality experiment, the study found that a VGI of 60% to 80% with a three-layer vegetation structure is most beneficial for the human brain, while a two-layer vegetation structure with a VGI above 80% has the greatest instantaneous weakening effect. Additionally, residential landscapes significantly reduce delta and theta brain waves in humans.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Plant Sciences
Na Ta et al.
Summary: The research demonstrates that both the quantity and quality of neighborhood green spaces contribute to residential satisfaction. Quality of green space has a more significant impact on satisfaction compared to quantity, and the impact of green space quality on residential satisfaction is complex, with plant community diversity positively influencing satisfaction levels.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Environmental Studies
Steven C. Bourassa et al.
Summary: This study compares the impact of big data accessibility indices and traditional accessibility measures on residential property valuation models. The findings suggest that big data accessibility indices do not enhance the models' explanatory or predictive power, while spatial autoregressive and error models perform better.
Article
Geography
Han Li et al.
Summary: Research findings suggest that residential prices in Shenzhen are influenced by the special economic zones (SZEs), leading to an unbalanced spatial distribution of factors affecting housing prices. Therefore, there is a need to focus on collaborative urban redevelopment and equitable distribution of private and public services to reduce inequality between INSEZ and OUTSEZ.
Article
Demography
Francisco Azpitarte et al.
Summary: Recent changes in the spatial distribution and segregation of socio-economic groups in Australian major cities show a trend of increasing residential separation by education and occupation. This trend is characterized by the concentration of high-skilled groups in inner city areas and the overrepresentation of low-educated and low-status occupation groups in outer areas.
POPULATION SPACE AND PLACE
(2021)
Review
Geriatrics & Gerontology
Yin Yuan et al.
Summary: This review synthesized evidence from 22 studies and found that exposure to green spaces is associated with lower risk of all-cause mortality and cardiovascular diseases in older individuals. Meta-analyses further confirmed that greater greenness exposure is related to reduced risks of all-cause mortality and stroke mortality in older individuals.
AGING CLINICAL AND EXPERIMENTAL RESEARCH
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Tianlin Zhai et al.
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(2020)
Review
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INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
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Ecology
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INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
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Zander S. Venter et al.
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Jie Shen et al.
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Mohamad Alipour et al.
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