Analyze the document Details on article
| Id | 2873 | |
| Author | Sędzicki D.; Cudzik J.; Nyka L. |
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| Title | Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem | |
| Reference | Sędzicki D.; Cudzik J.; Nyka L. Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem,International Journal of Environmental Research and Public Health 20 2 |
Keywords | Cities; Ecosystem; Humans; Public Health; Quality of Life; Urbanization; climate change; computer aided design; greenspace; health impact; public health; quality of life; urban design; urbanization; algorithm; Article; Clematis; computer aided design; controlled study; environmental factor; environmental impact; Fallopia; health status; human; ivy; microclimate; microtechnology; nonhuman; Parthenocissus; public health; quality of life; rapid prototyping; species identification; sustainable development; theoretical model; urban area; Vitaceae; city; ecosystem; quality of life; urbanization |
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146795219&doi=10.3390%2fijerph20021198&partnerID=40&md5=d9ff47384ae8e4330332a78159c536f3 |
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| Abstract | Increasing population and urbanization, with climate change consequences, such as rising temperatures, influence public health and well-being. The search to improve the quality of life in cities becomes one of the priority objectives. A solution can be found in the role of greenery in an urban environment and its impact on human health. This opens a path toward experimentation on microclimate green structures that can be inserted into dense urban spaces providing human and environmental benefits. The article proposes an automated greenery design method combined with rapid prototyping for such interventions. A theoretical analysis of the problem preceded the introduction of the method. The research process was developed in accordance with the main objectives of the CDIO framework (Conceive, Design, Implement, and Operate) with the SiL (Software in the Loop) and HiL (Hardware in the Loop) methods. Moreover, the applied test model allows for complex evaluation in order to ensure quality and directions for further development. © 2023 by the authors. |
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| Metodology | ||
| DOI | 10.3390/ijerph20021198 | |
| Search Database | Scopus |
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| Technique | ||
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