TR123: Computer Models & Methods for a Disabled Access Analysis Design Environment
Abstract/Contents
- Abstract
- This research develops a design-aid framework to support the disabled access analysis utilizing a design-intent or objective-based approach. This approach depends on the clear intent or objectives of the code or standard and the ability to decompose the intent and objectives into testable code-compliant or usability methods. In addition, as part of a performance-based approach, this research also utilizes motion-planning techniques to test the wheelchair usability of a facility. This new framework also provides an Internet-based design environment for users or designers to interact virtually with the design of a facility. An additional component of the framework, an interactive environment, also addresses the deficiencies of the performance-based approach related to the difficulties in accurately modeling all the relevant behaviors.
Description
Type of resource | text |
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Date created | July 2000 |
Creators/Contributors
Author | Han, Charles S. | |
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Author | Law, Kincho H. | |
Author | Kunz, John |
Subjects
Subject | CIFE |
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Subject | Center for Integrated Facility Engineering |
Subject | Stanford University |
Subject | Computer Modeling |
Subject | Objective-Based Approach |
Subject | Performance-Based Approach |
Genre | Technical report |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Han, Charles S. and Law, Kincho H. and Kunz, John. (2000). TR123: Computer Models & Methods for a Disabled Access Analysis Design Environment. Stanford Digital Repository. Available at: http://purl.stanford.edu/hs087cr7645
Collection
CIFE Publications
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- Contact
- cife-email@stanford.edu
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