Integrated Assessment of Health Benefits and Burdens of Urban Greenspace Designs

Published: March 18, 2024

Spatial planners are nowadays strongly interested in the benefits of greenspace for health urban residents. However, concrete and context-specific guidance on effective greening strategies is still lacking. We present a novel, model-based approach to support development such strategies. The quantitative spatially-explicit, accounts multiple as well burdens. In this study, we applied city Maastricht (The Netherlands), conducted an integrated, city-scale assessment burdens four designs. These included: ‘No greenspace’, ‘Current ‘Green parking lots squares’, ‘Optimized locations’. For each design, indicator values were calculated five determinants: heat stress, air pollution, perceived unsafety, unattractive views, tick-bite risk. To assess contribution given these compared with greenspace’ design. study produced clear, conclusions about designs case Maastricht, but also generated more general insights relevant planning health. concern importance translating policy objectives into specific target or thresholds, ‘smart’ choices type location that can effectively reduce trade-offs between Priorities future research, addressing limitations presented approach, further expansion range covered by model, common metric entire allowing optimization design maximize its overall net benefit.

Language: Английский

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Integrated Assessment of Health Benefits and Burdens of Urban Greenspace Designs

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7534 - 7534

Published: Aug. 30, 2024

Urban greening is a major goal in policies for sustainable cities, and spatial planners are nowadays strongly interested the benefits of greenspace well-being urban residents. We present novel, model-based approach to support development effective strategies. The quantitative spatially explicit accounts multiple health as well burdens. In our study, we applied this generic city Maastricht (The Netherlands) conducted an integrated, city-scale assessment burdens four designs. These included: ‘No greenspace’, ‘Current ‘Green parking lots squares’, ‘Optimized locations’. For each design, indicator values were calculated five determinants well-being: heat stress, air pollution, perceived unsafety, unattractive views, tick-bite risk. To assess contribution given these compared with greenspace’ design. study produced clear, conclusions about designs case but also generated more general insights relevant planning well-being. concern importance translating policy objectives into specific target or thresholds ‘smart’ choices type location that can effectively reduce trade-offs between burdens, adding greenery not always improves alone cannot solve pollution problems. priorities future research, which will address limitations presented approach, further expansion range covered by model common metric entire optimize design maximize its overall net benefit.

Language: Английский

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Exploring Summer Variations of Driving Factors Affecting Land Use Zoning Based on the Surface Urban Heat Island in Chiang Mai, Thailand

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(7), P. 228 - 228

Published: June 30, 2024

Numerous studies have examined land surface temperature (LST) changes in Thailand using remote sensing, but there has been little research on LST variations within urban use zones. This study addressed this gap by analyzing summer zoning (LUZ) blocks the 2012 Chiang Mai Comprehensive Plan and their relationship with biophysical parameters (NDVI, NDBI, MNDWI). The approach integrated detailed data sensing for granular analysis. Correlation stepwise regression analyses (SRA) revealed that NDBI significantly impacted most block types, while NDVI MNDWI also influenced LST, particularly 2023. findings demonstrated complexity of dynamics across various LUZs Mai, SRA results explaining 45.7% to 53.2% over three years. To enhance environment, adaptive planning strategies different categories were developed will be considered upcoming revision Plan. offers a new method monitor heat island phenomenon at level, providing valuable insights planning.

Language: Английский

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Enhancing basin sustainability: Integrated RUSLE and SLCC in land use decision-making

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 110993 - 110993

Published: Sept. 29, 2023

Sustainable agriculture and eco-environment conservation face constant threats from soil erosion in mountainous regions. This study utilizes remote sensing GIS support to predict sediment yield by applying the Revise Universal Equation Soil Loss (RUSLE) Sediment Delivery Ratio (SDR) models. The findings highlight that basin adversely experiences an average annual rate of 108.47 t ha−1 yr−1, leading a significant influx 206.03 × 106 t/yr at downstream. RUSLE-SDR model performs satisfactorily, with percent bias (PBIAS) values below 25%. Based on RUSLE output, integrates threshold over 100 yr−1 into adapted slopeland capability classification (SLCC), along slope gradient derived Digital Elevation Model (DEM) depth, categorize entire five classes. Each class is associated specific control treatments for agricultural activities forestry. suggests four land use/land cover (LULC) scenarios different prioritizations, aimed optimize resource utilization conserve eco-environment. Scenarios #3 #4, particular, demonstrate promising benefits substantially increasing forest coverage 81.27% 85.07% total area, respectively. In contrast, #1 #2 prioritize development. Due challenge posed rugged terrains, application LULC must be adhered strictly, considering SLCC its treatments. offers timely feasible approach investigation use adjustment effective management. However, ensuring health sustainability ecosystem may necessitate additional measures, such as proper planning riparian zones engineering solutions.

Language: Английский

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Effects of Production–Living–Ecological Space Patterns Changes on Land Surface Temperature

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(14), P. 3683 - 3683

Published: July 24, 2023

Rapid economic and social development has triggered competition for limited land space from different industries, accelerating the evolution of Beijing’s urban landscape types. The increase in impermeable surfaces decrease ecological have led to an impact on thermal environment. Since previous studies mainly focused a single environment lacked exploration combined multiple landscapes, this study applied standard deviation ellipses, Pearson correlation analysis, surface temperature (LST) profile hot spot analysis comprehensively explore influence evolving production–living–ecological (PLES) pattern LST. results show that average LST various spaces continued before 2009 decreased slowly after 2009, with highest being living space, followed by production lowest each year. spatiotemporal shift path is consistent trajectory center gravity Beijing; positively correlated (LS) negatively (PS) (ES). LS PS ES. Influenced change bedding type, longitudinal curve shows general trend “low at both ends high middle”. With fluctuates significantly, horizontal “first decreasing, increasing finally decreasing”. In addition, coverage area very spots, warm spots increased 0.72%, 1.13%, 2.03%, respectively, past 30 years, main expansion direction southeast, cold are distributed northwest first decreases then increases.

Language: Английский

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