Using multiple sources of data for monitoring facility usage on campus

Abstract

This paper aims to investigate the possibility of developing facility usage monitoring system on campus, using multiple sources of information. The data sources can be classified as primary and secondary data. The primary data is significant as it can be processed to derive activity-mobility information of the students, whereas the secondary data is valuable for the in-depth analysis of student behavior. In this paper, the Wi-Fi communication data broadcasted by students' portable electronic devices is considered as a primary data. To derive student mobility information and monitor facility usage, data processing algorithms are introduced. The system performance is evaluated using a case study on The Hong Kong Polytechnic University. The results show that the status of facility usage on the campus can be identified with acceptable accuracy. Moreover, the integration of multiple data sources can enhance the deliverable results of student behavior analysis.