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Activity Determination based on Wi-Fi Monitoring

Conference paper (2016)

Authors

S.C. van der Spek OLD Urban Design
E. Verbree OLD Department of GIS Technology
C.W. Quak OLD Department of GIS Technology
Research Group
OLD Urban Design
Copyright: © 2016 S.C. van der Spek, E. Verbree, C.W. Quak, IJ.D.G. Groeneveld, R. Sulzer, E. Theocharous, M.S. Tryfona, O.T. Willems, Y. Xu
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Published Date

2016

Language

English

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Research Group

OLD Urban Design

Abstract

The distribution of people in buildings, the occupancy of lecture-, work- and study places and the accessibility of facilities are essential information at university campuses who have to cope with limited and even shrinking budgets and huge, rising real estate costs. Only little insight is gained in both occupancy and movement patterns with traditional counting techniques and user-based questionnaires. Management teams state that rooms and facilities are hardly used, though staff and students complain about overcrowded facilities and limited flexibility. Actual and accurate data on a 24/7 scale with high-granularity is missing.
In general Facility- and Asset Management lacks efficient methods for realtime, comprehensive and high-granularity information of location, capacity and use of tangible and intangible assets. Asset management could benefit from more detailed, more accurate and longitudinal data on assets, providing more insight into efficiency and effectiveness on different levels of scale through time.
Existing technologies could provide a platform delivering those required insights. Navigation- and communication technologies such as GNSS, Wi-Fi, Bluetooth, RFID can be used to ‘locate’ users, estimate intensities and reveal patterns of movement and patterns of use. For Asset management indoor
localisation is essential.