Investigating semantic regularity of human mobility lifestyle

Monteiro De Lira V., Rinzivillo S., Renso C., Cesario Times V., Cabral Tedesco P.

H.2.8 Database Applications 

In recent years, the exponential growth of positioning-enabled devices have allowed us to study the mobility behavior of in-dividuals analyzing their collected tracks. In this context, a small, but steadily increasing part of the literature is looking at the semantic aspects of mobility. This paper presents a contribution to this trend, and is concerned with the definition of semantic regularity profiles. We based our methodology on the entropy of both spatial and temporal frequency of visits of individuals to places to perform an activity. This allows us to define the concept of semantic regular or irregular user behavior identifying users who are more or less loyal to the same places in contrast to the flexibility in visiting different places to perform an activity. We experiment on a crowdsensed trajectory dataset annotated by the visited Points of Interest which represent the activity performed. Analysis evidence that the regularity depends on the particular activity to be performed. Copyright 2014 ACM.

Source: IDEAS'14 - 18th International Database Engineering & Applications Symposium, pp. 314–317, Porto, Portugal, 7-9 July 2014

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