Understanding occupancy and user behaviour through Wi-Fi based indoor positioning

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Wang, Y. and Shao, L. orcid id iconORCID: https://orcid.org/0000-0002-1544-7548 (2018) Understanding occupancy and user behaviour through Wi-Fi based indoor positioning. Building Research and Information, 46 (7). pp. 725-737. ISSN 1466-4321 doi: 10.1080/09613218.2018.1378498

Abstract/Summary

A 30-day monitoring campaign was conducted in a university library building to investigate the usefulness of a novel Wi-Fi based indoor location system for revealing indoor occupancy patterns and related user behaviour. The system has demonstrated its effectiveness in providing occupancy information with a relatively high degree of granularity and accuracy in this study. The occupancy results revealed that the 24-hour opening policy for the library during the term time was not necessary. On the other hand, the 8-hour library-opening duration during the summer vacation could be extended to include the early evening hours to benefit user productivity. Four occupancy patterns were identified based on cluster analysis. Most users were found to belong to the short-occupancy one-time visitor type, while a minority were the long-occupancy users. The cross-correlations between various occupancy parameters were investigated. For example, the pattern of user arrival times at the library was found to be significantly correlated with their study durations. Further data analysis showed that the majority of long-occupancy users tended not to have frequent breaks with some taking no break for 4 hours. This could have implications for their health and wellbeing as well as their productivity.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/72977
Identification Number/DOI 10.1080/09613218.2018.1378498
Refereed Yes
Divisions Science > School of the Built Environment > Energy and Environmental Engineering group
Uncontrolled Keywords buildings, data mining, facility management, monitoring, occupancy, occupancy detection, occupancy patterns, time use, user behaviour, Wi-Fi
Publisher Taylor & Francis
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