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.