Computer-Aided Automated Greenery Design—Towards a Green BIM

Dominik Sędzicki, Jan Cudzik, Wojciech Bonenberg and Lucyna Nyka
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Dominik Sędzicki: Department of Urban Architecture and Waterscapes, Faculty of Architecture, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdańsk, Poland
Jan Cudzik: Department of Urban Architecture and Waterscapes, Faculty of Architecture, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdańsk, Poland
Wojciech Bonenberg: Institute of Architecture and Spatial Planning, Faculty of Architecture, Poznań University of Technology, ul. Jacka Rychlewskiego 2, 61-131 Poznań, Poland
Lucyna Nyka: Department of Urban Architecture and Waterscapes, Faculty of Architecture, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdańsk, Poland

Sustainability, 2022, vol. 14, issue 14, 1-20

Abstract: Contemporary climate challenges are changing the architect’s awareness, which results in a broader spectrum of interest. The available software enables the design of vegetation, but it is often very limited and requires specialist knowledge. The available software allows the creation of individual solutions based on visual algorithms or writing scripts; however, they are still not common methods used in architecture and urban planning. The study proposes a new complex digital method of selection and design of greenery based on a new parameter spreadsheet. The proposition is supported by the review and investigation of the software used by designers identifying a range of tools for the design of greenery. The study proposes a theoretical model for automated plant selection and variations of possible greenery scenarios that could be integrated into the design process at the early stages of concept development.

Keywords: greenery; automated design; plant selector; sustainability; algorithmic design; landscape design; BIM; green BIM (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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