Beyond urban parks: Mapping informal green spaces in an urban–peri-urban gradient

Biernacka, Magdalena; Kronenberg, Jakub; Łaszkiewicz, Edyta; Czembrowski, Piotr; Parsa, Vahid Amini; Sikorska, Daria

doi:10.1016/j.landusepol.2023.106746

Cited by 11 publications

(2 citation statements)

References 59 publications

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“…This limitation arises from the challenges of interpreting and categorizing the heterogeneous nature of urban settings [22,24]. Consequently, these maps may not adequately represent some UGAs within urban landscapes, where land cover transitions can occur at much finer scales compared to rural settings [24][25][26][27]. Additionally, most city-specific land cover maps are developed using distinct classification rules, leading to challenges in standardizing data and making comparisons across different cities and countries [21].…”

Section: Introductionmentioning

confidence: 99%

Urban Green Connectivity Assessment: A Comparative Study of Datasets in European Cities

Aleixo,

Branquinho,

Laanisto

et al. 2024

Remote Sensing

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Urban biodiversity and ecosystem services depend on the quality, quantity, and connectivity of urban green areas (UGAs), which are crucial for enhancing urban livability and resilience. However, assessing these connectivity metrics in urban landscapes often suffers from outdated land cover classifications and insufficient spatial resolution. Spectral data from Earth Observation, though promising, remains underutilized in analyzing UGAs’ connectivity. This study tests the impact of dataset choices on UGAs’ connectivity assessment, comparing land cover classification (Urban Atlas) and spectral data (Normalized Difference Vegetation Index, NDVI). Conducted in seven European cities, the analysis included 219 UGAs of varying sizes and connectivity levels, using three connectivity metrics (size, proximity index, and surrounding green area) at different spatial scales. The results showed substantial disparities in connectivity metrics, especially at finer scales and shorter distances. These differences are more pronounced in cities with contiguous UGAs, where Urban Atlas faces challenges related to typology issues and minimum mapping units. Overall, spectral data provides a more comprehensive and standardized evaluation of UGAs’ connectivity, reducing reliance on local typology classifications. Consequently, we advocate for integrating spectral data into UGAs’ connectivity analysis to advance urban biodiversity and ecosystem services research. This integration offers a comprehensive and standardized framework for guiding urban planning and management practices.

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Section: Introductionmentioning

confidence: 99%

Urban Green Connectivity Assessment: A Comparative Study of Datasets in European Cities

Aleixo,

Branquinho,

Laanisto

et al. 2024

Remote Sensing

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“…Yin [23] quantitatively examined the retention capacity of 176 urban park green areas within the Fifth Ring Road of Beijing for PM2.5 and endeavored to provide a basis for the design and construction of UPGAs to improve air quality. Biernacka [24] mapped and analyzed the dynamics of UPGAs in Poland, and they suggested the inclusion of informal green areas in urban planning. Engstrom [25] analyzed the advantages and disadvantages of using a hedonic price approach to capture the values of UPGAs in urban planning, and Ayele [26] studied the management model of UPGAs in Addis Ababa during rapid urbanization in Ethiopia.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Evolution Model, Mechanism, and Performance of Urban Park Green Areas in the Grand Canal of China

Cai,

Zhao,

Huang

et al. 2023

Land

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Urban park green areas are part of territorial space planning, shouldering the mission of providing residents with high-quality ecological products and public space. Using a combination of several measurement models such as the BCG (Boston Consulting Group) matrix, ESDA (Exploratory Spatial Data Analysis), MLR (Machine Learning Regression), GWR (Geographically Weighted Regression), and GeoDetector, this paper presents an empirical study on the changes in Urban Park Green Areas (UPGAs) in the Grand Canal of China. By quantitatively measuring the spatio–temporal evolution patterns of UPGAs, this study reveals the driving mechanisms behind them and proposes policy recommendations for planning and management based on performance evaluation. The spatio–temporal evolution of UPGAs and their performance in China’s Grand Canal are characterized by significant spatial heterogeneity and correlation, with diversified development patterns such as HH (High-scale–High-growth), HL (High-scale–Low-growth), LH (Low-scale–High-growth), and LL (Low-scale–Low-growth) emerging. The evolution performance is dominated by positive oversupply and positive equilibrium, where undersupply coexists with oversupply. Therefore, this paper recommends the implementation of a zoning strategy in the future spatial planning of ecological green areas, urban parks, and green infrastructure. It is also recommended to design differentiated construction strategies and management policies for each zoning area, while promoting inter-city mutual cooperation in the joint preparation and implementation of integrated symbiosis planning. Furthermore, the spatio–temporal evolution of the UPGAs in the Grand Canal of China is influenced by many factors with very complex dynamic mechanisms, and there are significant differences in the nature, intensity, spatial effects, and interaction effects between different factors. Therefore, in the future management of ecological green areas, urban parks, and green infrastructure, it is necessary to interconnect policies to enhance their synergies in population, aging, industry and economy, and ecological civilization to maximize the policy performance.

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Nature on our doorstep: How do residents perceive urban parks vs. biodiverse areas?

Melon,

Sikorski,

Archiciński

et al. 2024

Landscape and Urban Planning

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Beyond urban parks: Mapping informal green spaces in an urban–peri-urban gradient

Cited by 11 publications

References 59 publications

Urban Green Connectivity Assessment: A Comparative Study of Datasets in European Cities

Urban Green Connectivity Assessment: A Comparative Study of Datasets in European Cities

Evolution Model, Mechanism, and Performance of Urban Park Green Areas in the Grand Canal of China

Nature on our doorstep: How do residents perceive urban parks vs. biodiverse areas?

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