Inicio  /  Buildings  /  Vol: 13 Par: 3 (2023)  /  Artículo
ARTÍCULO
TITULO

Evaluation and Optimization Paths of Design Elements of Underground Building Atria Based on IPA?Kano Model

Xinming Jia    
Bo Yan    
Jinyao Wang and Ling Fang    

Resumen

The interior of an underground atrium is often a combination of multiple design elements. The lack of methodology and quantitative data support makes it impossible for developers and operators to know the public?s preferences for further renovation, which seriously hinders the sustainable development of underground atria. This paper addresses this issue by evaluating the IPA?Kano model for underground atria with three cases selected in the main urban area of Chongqing for comparison. Then, three types of design elements have been identified to have different impacts on underground building atria on the basis of analyzing the relationship between design elements and users? subjective perceptions of underground building atria. They are the basic, importance, and attraction elements. Finally, the optimization path for underground building atria is determined by integrating the actual performance of these three types of design elements. It is indicated that design elements such as seating, interface, and signage must be prioritized for improvement.

 Artículos similares

       
 
Mo Fan, Massoomeh Hedayati Marzbali, Aldrin Abdullah and Mohammad Javad Maghsoodi Tilaki    
Contemporary urban development places a critical emphasis on pedestrian environments, especially in historic cities like George Town, which is a UNESCO World Heritage Site in Malaysia. Although survey questionnaires effectively captured public perception... ver más
Revista: Urban Science

 
Ying Wang, Yue Chen, Yuhan Yao and Jinping Ou    
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil infrastructure, but the optimal design of an SHM sensing system, i.e., optimal sensor placement (OSP), remains a complex challenge. Based on the existing literature, th... ver más
Revista: Buildings

 
Natascha Eggers, Torsten Birth, Bernd Sankol, Lukas Kerpen and Antonio Hurtado    
The challenges posed by climate change have prompted significant growth in efficiency evaluation and optimization research, especially in recent years. This has spawned a variety of heterogeneous methods and approaches to the assessment of technical proc... ver más

 
Eduardo Medeiros, Leonel Corado, Luís Rato, Paulo Quaresma and Pedro Salgueiro    
Automatic speech recognition (ASR), commonly known as speech-to-text, is the process of transcribing audio recordings into text, i.e., transforming speech into the respective sequence of words. This paper presents a deep learning ASR system optimization ... ver más
Revista: Future Internet

 
Qingyan Zhou, Hao Li, Youhua Zhang and Junhong Zheng    
Traditional product evaluation research is to collect data through questionnaires or interviews to optimize product design, but the whole process takes a long time to deploy and cannot fully reflect the market situation. Aiming at this problem, we propos... ver más
Revista: Future Internet