Optimizing Urban Spaces: A Parametric Approach to Enhancing Outdoor Recreation Between Residential Areas in Riyadh, Saudi Arabia DOI Creative Commons
Amr Sayed Hassan Abdallah, Randa Mohamed Ahmed Mahmoud, Mohammed Aloshan

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(9), P. 1527 - 1527

Published: May 2, 2025

Improvement of recreational areas between the residential to achieve human behavior and concept humanization is urgently needed 2030 vision Saudi Arabia. This study aims develop a parametric urban optimization framework optimize outdoor thermal comfort in buildings Riyadh City, Arabia, based on Arabia high standard quality life with comfort. Measurement was conducted inside sports walking path walk-through observation interviews. Then, case geometry generated computationally, using Rhinoceros software its plug-in Grasshopper implement set development scenarios. process for integrated 192 proposed solutions assess solutions’ influence reducing Universal Thermal Comfort Index (UTCI) average solar irradiance, besides increasing energy by PV panels. EnergyPlus engine Ladybug are used integrate panels shading scenarios, utilize irradiation, calculate electrical energy. The results concluded that trees diameters 10 15 m could reduction UTCI 11.26 K irradiance 642.77 W/m2 generation panel optimum inclination angle 20°. integration scenarios generates electricity every square meter panel, equal 578.84 kWh/m2 lighting poles service within areas. this help improve current park as prototype, which can be implemented more than 8100 instances gardens, parks, municipal squares

Language: Английский

From heatwaves to ‘healthwaves’: A spatial study on the impact of urban heat on cardiovascular and respiratory emergency calls in the city of Milan DOI Creative Commons
Doruntina Zendeli, Nicola Colaninno,

Daniela Maiullari

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106181 - 106181

Published: Jan. 1, 2025

Language: Английский

Citations

1
Spatiotemporal Dynamics and Response of Land Surface Temperature and Kernel Normalized Difference Vegetation Index in Yangtze River Economic Belt, China: Multi-Method Analysis DOI Creative Commons

Hongjia Zhu,

Ao Wang, Pengtao Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 598 - 598

Published: March 12, 2025

As global climate change intensifies, its impact on the ecological environment is becoming increasingly pronounced. Among these, land surface temperature (LST) and vegetation cover status, as key indicators, have garnered widespread attention. This study analyzes spatiotemporal dynamics of LST Kernel Normalized Difference Vegetation Index (KNDVI) in 11 provinces along Yangtze River their response to based MODIS Terra satellite data from 2000 2020. The linear regression showed a significant KNDVI increase 0.003/year (p < 0.05) rise 0.065 °C/year 0.01). Principal Component Analysis (PCA) explained 74.5% variance, highlighting dominant influence urbanization. K-means clustering identified three regional patterns, with Shanghai forming distinct group due low variability. Generalized Additive Model (GAM) analysis revealed nonlinear LST–KNDVI relationship, most evident Hunan, where cooling effects weakened beyond threshold 0.25. Despite 0.07 increase, high-temperature areas Chongqing Jiangsu expanded by over 2500 km2, indicating limited mitigation. reveals complex interaction between KNDVI, which may provide scientific basis for development management adaptation strategies.

Language: Английский

Citations

1
Combined effects of the visual-thermal environment on restorative benefits in hot outdoor public spaces: A case study in Shenzhen, China DOI
Wen Dong, Donghui Dai, Liu Mei

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112690 - 112690

Published: Feb. 1, 2025

Language: Английский

Citations

0
How to Plant Trees on an Elevated Road to Improve Thermal Comfort in a Street Canyon DOI Creative Commons
Geon Kang, Jae‒Jin Kim

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106207 - 106207

Published: Feb. 1, 2025

Language: Английский

Citations

0
Unveiling the Microclimate: A Comprehensive Review of Tools, Techniques, and Future Directions for Sustainable Cities DOI
Trisha Roy, Anirban Middey, Reddithota J. Krupadam

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112726 - 112726

Published: Feb. 1, 2025

Language: Английский

Citations

0
Leveraging urban AI for high-resolution urban heat mapping: Towards climate resilient cities DOI
Abdulrazzaq Shaamala,

Niklas Tilly,

Tan Yiğitcanlar

et al.

Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks public health and undermine the sustainability of cities. Effective UHI management requires high-resolution timely mapping temperature patterns guide interventions. Traditional methods for often lack spatial accuracy efficiency necessary detailed analysis, especially in complex environments. This study integrates artificial intelligence (Urban AI) by presenting U-Net model tailored metropolitan area Adelaide, South Australia. Trained on thermal data Australian Government Data Directory, captures pixel-level variations across diverse landscapes, including densely built areas, suburban zones, green spaces. Achieving low Mean Squared Error (MSE) 0.0029 processing each map less than 30 seconds, demonstrates exceptional computational efficiency. The model, an AI agent, offers scalable tool supporting real-time assessments facilitating targeted mitigation efforts. By bridging gap between advanced geospatial modelling practical planning, it enables data-driven decisions enhance climate resilience, optimise infrastructure, improve rapidly urbanising regions. approach highlights transformative potential addressing challenges, delivering precise actionable insights support sustainable climate-adaptive

Language: Английский

Citations

0
Optimizing Urban Spaces: A Parametric Approach to Enhancing Outdoor Recreation Between Residential Areas in Riyadh, Saudi Arabia DOI Creative Commons
Amr Sayed Hassan Abdallah, Randa Mohamed Ahmed Mahmoud, Mohammed Aloshan

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(9), P. 1527 - 1527

Published: May 2, 2025

Improvement of recreational areas between the residential to achieve human behavior and concept humanization is urgently needed 2030 vision Saudi Arabia. This study aims develop a parametric urban optimization framework optimize outdoor thermal comfort in buildings Riyadh City, Arabia, based on Arabia high standard quality life with comfort. Measurement was conducted inside sports walking path walk-through observation interviews. Then, case geometry generated computationally, using Rhinoceros software its plug-in Grasshopper implement set development scenarios. process for integrated 192 proposed solutions assess solutions’ influence reducing Universal Thermal Comfort Index (UTCI) average solar irradiance, besides increasing energy by PV panels. EnergyPlus engine Ladybug are used integrate panels shading scenarios, utilize irradiation, calculate electrical energy. The results concluded that trees diameters 10 15 m could reduction UTCI 11.26 K irradiance 642.77 W/m2 generation panel optimum inclination angle 20°. integration scenarios generates electricity every square meter panel, equal 578.84 kWh/m2 lighting poles service within areas. this help improve current park as prototype, which can be implemented more than 8100 instances gardens, parks, municipal squares

Language: Английский

Citations

0