ArticleRoyal Society open science2021
Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach.
Article in Royal Society open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Multi-sensor microclimate and tree canopy dataset from a linden tree for green infrastructure validation.Scientific data · 2026Article
- Artificial intelligence evaluation of nature based flood resilience in hilly terrain.Scientific reports · 2025Article
- Satellite data for environmental justice: a scoping review of the literature in the United States.Environmental research letters : ERL [Web site] · 2024Article
- Preparing for Extreme Heat: Are Cooling Outdoor Spaces Accessible by People with Disabilities?Environmental health perspectives · 2023Article
- Article
- Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach.Royal Society open science · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urban green infrastructure, especially trees, are widely regarded as one of the most effective ways to reduce urban temperatures in heatwaves and alleviate the adverse impacts of extreme heat events on human health and well-being. Nevertheless, urban planners and decision-makers are still lacking methods and tools to spatially evaluate the cooling effects of urban green spaces and exploit them to assess greening strategies at the urban agglomeration scale. This article introduces a novel spatially explicit approach to simulate urban greening scenarios by increasing the tree canopy cover in the existing urban fabric and evaluating their heat mitigation potential. The latter is achieved by applying the InVEST urban cooling model to the synthetic land use/land cover maps generated for the greening scenarios. A case study in the urban agglomeration of Lausanne, Switzerland, illustrates the development of tree canopy scenarios following distinct spatial distribution strategies. The spatial pattern of the tree canopy strongly influences the human exposure to the highest temperatures, and small increases in the abundance of tree canopy cover with the appropriate spatial configuration can have major impacts on human health and well-being. The proposed approach supports urban planning and the design of nature-based solutions to enhance climate resilience.
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Registered trials
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