Name
Abstract | ||
|---|---|---|
The dichotomy between two opposite propensities, exploration and exploitation, characterizes and drives many human behaviors, from decision making to social learning. Recently, this dichotomy has been found also in human mobility where people can be divided into two basic types: returners, those who are very regular in their daily mobility; and explorers, those who are inclined to break out of their daily mobility routine and explore new places. While the former attitude has been widely studied in literature and results in the well-known tendency to frequently visit a few locations (e.g. home and workplace), the latter trait remains an unexplored aspect and deserves further investigation. In this work we focus on the characterization of the places that an individual visits when she is driven by her propensity for exploration, i.e. non-routine places which are outside her usual daily mobility patterns. To this end, we mine an anonymized mobile phone dataset which integrates call, text and data activities of about one million subscribers in Milan, to detect and characterize the non-routine places. Moreover, we complement it with Foursquare venues along with their category to semantically characterize the reasons driving the choice of the places to explore. The analysis of the non-routine places and the mobility patterns during the exploration phase brings to light some interesting findings: i) to a greater or lesser extent, all individuals are explorers since they visit a significant number of non-routine places; ii) due to the exceptionality of a visit, non-routine places are farther from home and workplace than frequently visited places; iii) we are explorers in our leisure time; iv) we get to a non-routine place leaving our home, then we return home later; and v) in Milan, shopping, in particular at fashion and clothing stores, is the main interest behind the need to explore non-routine places. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/DSAA.2018.00075 | DSAA |
Keywords | Field | DocType |
Urban areas,Mobile handsets,Global Positioning System,Clustering algorithms,Measurement,Employment,Task analysis | Internet privacy,Task analysis,Trait,Sociology,Clothing,Human behavior,Social learning,Mobile phone | Conference |
ISSN | ISBN | Citations |
2472-1573 | 978-1-5386-5090-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Quadri | 1 | 27 | 7.96 |
| Matteo Zignani | 2 | 85 | 13.07 |
| Sabrina Gaito | 3 | 209 | 29.64 |
| Gian Paolo Rossi | 4 | 390 | 78.09 |