Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem - Publication - Bridge of Knowledge

Search

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

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.

Citations

  • 1 3

    CrossRef

  • 0

    Web of Science

  • 1 9

    Scopus

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
International Journal of Environmental Research and Public Health no. 20,
ISSN: 1660-4601
Language:
English
Publication year:
2023
Bibliographic description:
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 -Vol. 20,iss. 2 (2023), s.1198-
DOI:
Digital Object Identifier (open in new tab) 10.3390/ijerph20021198
Sources of funding:
  • Statutory activity/subsidy
Verified by:
Gdańsk University of Technology

seen 217 times

Recommended for you

Meta Tags