Paper Info
Title
The Impact of Temporal Factors on Mobility Patterns
Abstract
Many applications such as management of wireless networks and the spread of mobile or biological viruses depend on modeling and predicting human mobility. However, widespread wireless localization technology, such as pervasive cell-tower/GPS location estimation, has only been available for the last few years, thus many factors that impact human mobility patterns remain under-researched. In this paper, we investigate how temporal factors impact mobility characteristics and location prediction. Our analysis of 180 mobile phone location traces show that people move farther distances, choose more unpredictable locations to visit, and have a more scattered spatial probability distribution for their location on the weekends compared to week days, or at after-work hours compared to work hours. We also analyzed location traces for a month and divided days and hours into groups for each user to obtain probability distribution of their places for each group of time intervals, and observed major improvement in future 'time-based' predictions of their location.
Year
DOI
Venue
2012
10.1109/HICSS.2012.572
HICSS
Keywords
Field
DocType
temporal factors impact mobility,location prediction,unpredictable location,location trace,mobility patterns,scattered spatial probability distribution,impact human mobility pattern,mobile phone location trace,gps location estimation,temporal factors,human mobility,probability distribution,entropy,global positioning system,mobility,wireless network,estimation,mobile device,location,mobile computing,statistical distributions,mobile devices,trajectory
Mobile computing,Wireless network,Names of the days of the week,Wireless,Computer science,Knowledge management,Computer network,Mobile device,Probability distribution,Global Positioning System,Mobile phone,Statistics
Conference
Citations 
PageRank 
References 
9
0.58
9
Authors
3
Name
Order
Citations
PageRank
Sara Motahari1404.46
Hui Zang2105277.25
Phyllis Reuther390.58