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Space Syntax Analysis: Tools for Augmenting the Precision of Healthcare Facility Spatial Analysis
Ahmed Hassem Sadek1, Mardelle McCuskey Shepley2
1Department of Architecture, Faculty of Engineering, Assiut University, Assiut, Egypt Faculty of Architecture, Building and Planning, Melbourne School of Design, University of Melbourne, Victoria, Australia ahmed-sadek@hotmail.com sadeka@student.unimelb.edu.au.
HERD
|January 10, 2016
Summary
This study explores Space Syntax methods for accurately describing healthcare facility layouts. New spatial measures enhance evidence-based design by linking space to health outcomes.
Area of Science:
- Architecture
- Urban Planning
- Healthcare Design
Background:
- Evidence-based design (EBD) uses credible data to inform building design for positive health outcomes.
- Quantitative environmental analysis is crucial for understanding human behavior and cognitive processes within spaces.
- Accurate spatial descriptions are essential for effective healthcare facility planning.
Purpose of the Study:
- To review and present spatial measures for describing diverse layout typologies, focusing on healthcare facilities.
- To demonstrate the effectiveness of Space Syntax theory and methods in healthcare design.
- To introduce a comprehensive model correlating spatial measures with behavioral and perceptual consequences.
Main Methods:
- Utilizing Space Syntax theory and quantitative spatial measures derived from graph theory.
- Employing computer tools to quantify relational properties of spaces and provide numerical data.
- Developing enhanced Space Syntax tools to improve data credibility.
Main Results:
- Space Syntax provides accurate quantitative measures for individual spaces and entire layouts.
- New spatial measures offer precise descriptions of spatial configurations.
- The study validates the application of Space Syntax in healthcare facility research.
Conclusions:
- Space Syntax and its novel measures are effective for healthcare facility design and research.
- A comprehensive model integrating spatial measures with behavioral outcomes is presented.
- This work serves as a foundation for future research in evidence-based healthcare design.
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