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Automatic generative design and optimization of hospital building layouts in consideration of public health emergency

Ying Zhou (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China)
Yu Wang (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China)
Chenshuang Li (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China)
Lieyun Ding (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China)
Cong Wang (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 9 December 2022

76

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.

Keywords

Acknowledgements

The publication of this article was funded by the National Key Research and Development Plan of China [2020YFC2006000], the National Science Fund for Excellent Young Scholars of China [Grant No. 72122007], the National Natural Science Foundation of China (NSFC) [Grant Nos 72071089, 71821001].

Citation

Zhou, Y., Wang, Y., Li, C., Ding, L. and Wang, C. (2022), "Automatic generative design and optimization of hospital building layouts in consideration of public health emergency", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-08-2022-0757

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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