Inferring social influence in transport mode choice using mobile phone data
Abstract A longitudinal mobile phone data that include both location and communication logs is analyzed to infer social influence in terms of ego-network effect in the commute mode choice. The results show that person’s strong ties are more important to determine if driving is the person’s transport...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2017-06-01
|
Series: | EPJ Data Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1140/epjds/s13688-017-0108-6 |