TY - JOUR
T1 - Spatial decision support systems for hospital layout design
T2 - A review
AU - Jia, Zhuoran
AU - Nourian, Pirouz
AU - Luscuere, Peter
AU - Wagenaar, Cor
N1 - Funding Information:
The computational assessment of layouts requires specific data structures and algorithms. The data structures, as explained further must be compatible or related to BIM and GIS structures due to the scale and complexity of hospitals. The algorithms required for the assessment of hospitals must be capable of analysing their network models and also running simulations on top of such network-space models. Thus, the paper has sections dedicated to discussing the specifics of such algorithms and their application for layout assessment in hospital design. The paper is structured as follows: Section 1, an introduction including the focus of this review and relevant previous reviews. Section 2, the methodology used in this review. Section 3, brief introductions of the terminologies pertained to this study. Section 4, defines what is layout configuration. Section 5, a brief introduction to Spatial Network Analysis (SNA). Section 6, the introduction of three different methods of Simulation Modelling including Agent-Based Modelling (ABM), Discrete-Event Simulation (DES), and Random Walk Simulation (RWS). Section 7, introductions of methods of fair comparison and decision support. Section 8, review taxonomies that categorize the reviewed papers into five groups. Section 9, review results and Section 10, conclusion.
Publisher Copyright:
© 2023 The Authors
PY - 2023/5/15
Y1 - 2023/5/15
N2 - This study presents a systematic review of the literature on decision support for designing hospital layouts using spatial network analysis and/or simulation modelling. The review includes 102 articles, which are classified into five different categories concerning their layout-related challenges. Specifically, the categories include overcrowding, patient waiting times, visibility & staff interaction, wayfinding & walkability, and other issues such as hospital-acquired infections. The main finding is the cross-referenced table of different performance issues related to the hospital layout to different assessment methods, indicators, and quality criteria. The review suggests prospects for associating hospital design problems/challenges with spatial layout, as well as a framework for developing methods for layout representation, aggregation and relativization borrowing from the fields of transport planning and operations research. The main focus of this study lies in the spatial layout. Viewing the spatial complexity of a hospital as an indoor spatial environment is at least as complex as an urban environment, thus justifying a geographical approach; hence we expand the scope of the literature review to papers that may not directly address hospital design but have relations to spatial decision support systems.
AB - This study presents a systematic review of the literature on decision support for designing hospital layouts using spatial network analysis and/or simulation modelling. The review includes 102 articles, which are classified into five different categories concerning their layout-related challenges. Specifically, the categories include overcrowding, patient waiting times, visibility & staff interaction, wayfinding & walkability, and other issues such as hospital-acquired infections. The main finding is the cross-referenced table of different performance issues related to the hospital layout to different assessment methods, indicators, and quality criteria. The review suggests prospects for associating hospital design problems/challenges with spatial layout, as well as a framework for developing methods for layout representation, aggregation and relativization borrowing from the fields of transport planning and operations research. The main focus of this study lies in the spatial layout. Viewing the spatial complexity of a hospital as an indoor spatial environment is at least as complex as an urban environment, thus justifying a geographical approach; hence we expand the scope of the literature review to papers that may not directly address hospital design but have relations to spatial decision support systems.
KW - Agent-based modelling
KW - Decision support systems
KW - Discrete event simulations
KW - Hospital layout design
KW - Markov chain random walk simulations
KW - Space syntax analysis
KW - ITC-CV
U2 - 10.1016/j.jobe.2023.106042
DO - 10.1016/j.jobe.2023.106042
M3 - Review article
AN - SCOPUS:85147548991
SN - 2352-7102
VL - 67
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 106042
ER -
