Assessment of Building Performance from the Standpoint of Elderly and Disabled Persons Using Neural Computation
PhD started in: 2011
M.Sc. Construction Technology,
University of Jos, Nigeria 2010
B.Sc. Building, ABU, Zaria, Nigeria 2002
Prof. Ir. Sevil Sariyildiz
Dr. Michael Bittermann
How can assessments on building performance from standpoint of elderly and disabled be brought into
computational form. , in the face of the
immense complexity of the interaction
between people and their built
An understanding as to
the relative importance among the
building features taking their
simultaneous interrelation into account
for the satisfaction of the demands of
elderly and disabled via Neural
Decision Support Model
Keywords: Building performance assessment, Aging, Disability, Neural computation.
Area of Research: Computation & Performance
Chair of Design Informatics, Dept. of Architectural Engineering + Technology, Faculty of Architecture
Assessment of the performance of a building from the view point of its suitability for elderly and disabled is a complex matter, because it concerns not only measurements of detailed properties of a building, such as the width of doors, or the height of door steps, but it also involves psychological assessments in terms of security, safety, privacy, visual comfort etc. In order to deal with this complexity, assessment of experts, as it is conventionally exercised, without support by means of appropriate computational means is insufficient. Ageing and disability as used in this context refer to all forms of impairments limiting the functioning of both physical and mental attributes of human, that make the daily use and interaction with the built environment challenging. Developing a computational model for the precision assessment of the performance of institutional and public buildings is the objective of this research. The performance assessment concerns particularly the degree of suitability of a building for usage by elderly or disabled people. The result from the model being pursued will be an understanding as to the relative importance among the building features taking their simultaneous interrelation into account for the satisfaction of the demands of elderly and disabled.
The methodology employed for this purpose, Neural Computation, is from the domain of computational intelligence, because it is uniquely able to deal with the complexity of the performance being assessed, namely the methodology emulates the ability of human to establish appropriate abstractions despite abundant information that contains many non-linear interrelations among multiple detailed attributes.
Zubairu T, Sariyildiz S, Ciftcioglu O (2014). Assessment of Building Performance Using Computational Intelligence: Focus on the Disabled and Elderly. Proceedings of the Education and research in Computer Aided Architectural Design in Europe (eCAADe) 2014 conference, 10-12 September 2014, Northumbria University, Newcastle-UK, Volume 2 (pp. 217-221)
Zubairu T. (2014). On-Body Fluid Bio-Marker For Inflammation & Neuro-degeneration (Elderly Issues - Poster Presentation), 5th NCA NUBIN Symposium Organized By NCA NUBIN of VU University Medical Centre, Amsterdam, The Netherlands.
Faculty of Architecture and the
2628 BL Delft