Estimating cooling loads of Arizona State University buildings using microclimate data and machine learning DOI Creative Commons
Ali Alyakoob, Sherly Hartono, Trevor Johnson

et al.

Journal of Building Engineering, Journal Year: 2022, Volume and Issue: 64, P. 105705 - 105705

Published: Dec. 9, 2022

Language: Английский

Optimizing the co-benefits of food desert and urban heat mitigation through community garden planning DOI Creative Commons
Yujia Zhang, Jordan P. Smith, Daoqin Tong

et al.

Landscape and Urban Planning, Journal Year: 2022, Volume and Issue: 226, P. 104488 - 104488

Published: June 17, 2022

Urban community gardens can reduce food insecurity and serve as green spaces alleviating extreme temperatures. Such co-benefit synergy may prove especially significant for arid-land metropolises. Despite these synergistic roles, planning is largely undertaken in an ad-hoc manner. To date, few studies have addressed the full potential (co-benefits) of developing urban vacant land into garden-green spaces. We this a spatially-optimized way, model seeking to mitigate desert heat, applied it fast sprawling Phoenix metro-area, Arizona (USA). Examining more than 5,000 parcels spaces, we found that optimal number locations needed different mitigation goals vary significantly. In required heat about twice because high-temperature areas are prevalent expansive semi-arid environment compared relatively small low income, areas. Furthermore, existing 76 were mostly clustered around cores, leaving two-thirds metro-area underserved. If sited co-benefits gained from could be doubled, covering high-need neighborhoods. Integrating fine-scale parcel data, our identified high garden-greening sites priority neighborhoods with precision not capable conventional methods. Our findings demonstrate particular importance avoid clustering ensure equal access local outdoor cooling benefits.

Language: Английский

Citations

19

Space-time dynamics in hazard exposure analysis: smartphone locations show pedestrian routes are inflexible to extreme heat events DOI Creative Commons
Sahar Derakhshan, John Dialesandro, V. Kelly Turner

et al.

npj natural hazards., Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 10, 2025

Language: Английский

Citations

0

Revealing Key Factors of Heat-related Illnesses using Geospatial Explainable AI Model: A Case Study in Texas, USA DOI
Ehsan Foroutan, Tao Hu, Ziqi Li

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106243 - 106243

Published: Feb. 1, 2025

Language: Английский

Citations

0

Spatiotemporal Analysis of Heat-Related Emergency Department Visits and Hospitalizations in Florida (2005–2021): A Bayesian Change Point Detection Approach DOI
Ehsan Foroutan, Saeid Niazmardi, Tao Hu

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106288 - 106288

Published: March 1, 2025

Language: Английский

Citations

0

Estimating cooling loads of Arizona State University buildings using microclimate data and machine learning DOI Creative Commons
Ali Alyakoob, Sherly Hartono, Trevor Johnson

et al.

Journal of Building Engineering, Journal Year: 2022, Volume and Issue: 64, P. 105705 - 105705

Published: Dec. 9, 2022

Language: Английский

Citations

16