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Predicting topographical and sociological information patterns from building access logs

Scanlon, Philip and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2015) Predicting topographical and sociological information patterns from building access logs. In: EventInsight Student Conference (INSIGHT-SC 2015), 30 Oct 2015, NUIG, Galway, Ireland.

Abstract
Building design is not just a matter for architects, engineers and planners but also for sociologists and behavioral scientists. Once completed and occupied, buildings adopt unique mannerisms based on their design, occupancy form, organizational culture and operational systems contained within their boundaries. Architects and planners base their building layout on a set of rule-based tools which assist them in their interpretation of an organization’s needs, both normal usage and under extreme circumstances, such as emergencies or evacuations. Previous researchers such as Penn et al. [2] have examined the mechanisms by which patterns of spatial structure affect interactions within a work environment and it is these patterns and the affect on the occupants of the building, that this research wishes to explore.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Information technology
Business > Workplace stress
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:This project has been funded by Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289
ID Code:21213
Deposited On:11 May 2016 10:26 by Philip Scanlon . Last Modified 31 Oct 2018 11:47
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