Understanding mobility based on GPS data
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
T-drive: driving directions based on taxi trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Friendship and mobility: user movement in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th international conference on Ubiquitous computing
Where to find my next passenger
Proceedings of the 13th international conference on Ubiquitous computing
On the levy-walk nature of human mobility
IEEE/ACM Transactions on Networking (TON)
Discovering regions of different functions in a city using human mobility and POIs
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
T-share: A large-scale dynamic taxi ridesharing service
ICDE '13 Proceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)
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Existing studies extensively utilized taxicab trips and individuals' movements captured by mobile phone usages (referred as "mobile phone movements" hereafter) to understand human mobility patterns in an area. However, all these studies analyze taxicab trips and mobile phone movements separately. In this paper, we: (1) integrate mobile phone and taxicab usages together to explore human movements in Singapore and reveal that mobile phone movements as a general proxy to all kinds of human mobility has substantially different characteristics compared to taxicab trips, which are one of the frequently used means of transportation; (2) investigate the ratio of taxicab trips and mobile phone movements between two arbitrary locations, which not only characterizes taxicab demands between these locations but also sheds light on underlying land use patterns. In details, we quantify the distinct characteristics of mobile phone movements and taxicab trips, and particularly confirm that the number of taxicab trips decays with distance more slowly compared to mobile phone movements. From a spatial network perspective, taxicab trips largely reflect interactions between further-separating locations than mobile phone movements, resulting in emergence of larger spatial communities (delineated based on people mobility) in Singapore. The contribution of this research is two-fold: (1) we clarified the divergences between observed human mobility patterns based on taxicab and mobile phone data; (2) we implemented an integrated approach of taxicab and mobile phone usages for gaining more informative insights in population dynamics, transportation and urban configuration.