Zhou, Y; Wang, Y; Li, C; Ding, L and Wang, C (2024) Automatic generative design and optimization of hospital building layouts in consideration of public health emergency. Engineering, Construction and Architectural Management, 31(4), pp. 1391-1407. ISSN 0969-9988
Abstract
Purpose: This study aimed to propose a performance-oriented approach of automatically generative design and optimization of hospital building layouts in consideration of public health emergency, which intended to conduct reasonable layout design of hospital building to meet different performance requirements for both high efficiency during normal periods and low risk in the pandemic. Design/methodology/approach: The research design follows a sequential mixed methodology. First, key points and parameters of hospital building layout design (HBLD) are analyzed. Then, to meet the requirements of high efficiency and low risk, adjacent preference score and infection risk coefficient are constructed as constraints. On this basis, automatic generative design is conducted to generate building layout schemes. Finally, multi-objective deviation analysis is carried out to obtain the optimal scheme of hospital building layouts. Findings: Automatic generative design of building layouts that integrates adjacent preferences and infection risks enables hospitals to achieve rapid transitions between normal (high efficiency) and pandemic (low risk) periods, which can effectively respond to public health emergencies. The proposed approach has been verified in an actual project, which can help systematically explore the solution for better decision-making. Research limitations/implications: The form of building layouts is limited to rectangles, and future work can explore conducting irregular layouts into optimization for the framework of generative design. Originality/value: The contribution of this paper is the developed approach that can quickly and effectively generate more hospital layout alternatives satisfying high operational efficiency and low infection risk by formulating space design rules, which is of great significance in response to public health emergency.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | generative design and optimization; hospital building layouts; performance; public health emergency |
| Index terms: | methodology, decision-making, generative design, preference, efficiency, pandemic, public health, research design, deviation |
| Subjects: | research design and methodology, financial and cost management, design process, health risk and incident analysis, research methods, decision-making and reasoning, performance management, environmental health, decision analysis |
| Topics: | Design Practice, Quality Management, Risk Management, Sustainability, Cost Management, Health and Safety, Research Practice |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here