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Optimizing Spatial Adjacency in Hospital Master Planning

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Computer-Aided Architectural Design. "Hello, Culture" (CAAD Futures 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1028))

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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.

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Authors and Affiliations

  1. EYP, Houston, TX, 77002, USA

    ZhouZhou Su

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  1. ZhouZhou Su
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Correspondence to ZhouZhou Su .

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Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Ji-Hyun Lee

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Su, Z. (2019). Optimizing Spatial Adjacency in Hospital Master Planning. In: Lee, JH. (eds) Computer-Aided Architectural Design. "Hello, Culture". CAAD Futures 2019. Communications in Computer and Information Science, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-13-8410-3_10

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  • DOI: https://doi.org/10.1007/978-981-13-8410-3_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8409-7

  • Online ISBN: 978-981-13-8410-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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