| id |
cf2019_012 |
| authors |
Su, Zhouzhou |
| year |
2019 |
| title |
Optimizing Spatial Adjacency in Hospital Master Planning |
| source |
Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 101 |
| summary |
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 |
| series |
CAAD Futures |
| email |
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| full text |
 file.pdf (64,225 bytes) |
| references |
Content-type: text/plain
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| last changed |
2019/07/29 14:08 |
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