| Autor: |
Renjing Hu, Xuanyu Tao, Jiaxuan Gong, Feng Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2045-2322 |
| DOI: |
10.1038/s41598-024-73156-7 |
| Popis: |
Abstract To improve the quality management of urban ecological public art design and the service centered on residents’ needs. Our study introduces a new Quality Function Deployment (QFD)decision-making model called Kano-FAHP-QFD, which applies to urban ecological public art design. Specifically, a new QFD framework is proposed, combining the Kano model and Fuzzy AHP (FAHP). This paper well explains the importance of ranking urban residents’ needs and the impacts of the new framework in defining the quality management of urban ecological public art design and the satisfaction of urban residents, while using the framework as a set of prioritized strategies in urban renewal to guide the design and planning of urban ecological public art. The author combined these three approaches to more accurately capture and address their respective issues and thus better understand the residents’ needs for urban ecological public art design. In essence, this study investigates how urban ecological public art can be designed and planned in urban renewal through a novel QFD algorithm for urban ecological public art design, with application case validation. Thus, the method keeps the satisfaction of urban residents in line with the positioning and strategies of urban ecological public art design, which is dedicated to enhancing urban vitality, promoting urban renaissance, and sustainable development. It also provides new research ideas for the development of urban ecological public art design in the future. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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