TY - GEN
T1 - Using multiple sources of data for monitoring facility usage on campus
AU - Wepulanon, P.
AU - Lam, W. H.K.
AU - Sumalee, A.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Activity-mobility analysis
KW - Facility usage monitoring
KW - Multiple data sources
KW - Smart application
KW - Wi-Fi signature data
UR - http://www.scopus.com/inward/record.url?scp=85050627015&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85050627015
T3 - Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation
SP - 165
EP - 172
BT - Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation
A2 - Wong, Allan Wing Gun
A2 - Wong, Simon Ho Fai
A2 - Leung, Gordon Lai Ming
PB - Hong Kong Society for Transportation Studies Limited
T2 - 21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016
Y2 - 10 December 2016 through 12 December 2016
ER -