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Optimizing Spatial Adjacency in Hospital Master Planning

  • ZhouZhou SuEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1028)

Abstract

Hospitals are one of the most complex building types. Each is comprised of a wide range of service areas and functional spaces. Spatial relationships comprise one of the most critical design criteria, to be considered early-on in the master planning stage. Proper adjacency contributes to shorter travel distances, better wayfinding, improved patient care, higher satisfaction, and reduced overall cost. However, there is a lack of research on the automatic generation of design solutions that can be applied to real-world hospital master planning projects. Moreover, given the complexity of hospital design, an optimization tool is needed that is capable of evaluating both machine- and human-generated solutions. This study proposes a rating system for evaluating existing plans and proposed designs in hospital master planning, and explores optimal design solutions through rapid computational simulations. The first stage of this work presents interviews with senior professionals in the industry to explore best practices regarding spatial relationships in hospital planning. The second stage describes an automatic analysis tool for ranking the design options generated by healthcare planners and examining optimal design solutions that feature the best spatial adjacencies. This tool was employed in a recent master planning project with over fifty programming spaces, in order to test its validity.

Keywords

Optimization Spatial adjacency Hospital master planning 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.EYPHoustonUSA

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