Analysis of a metropolitan-area wireless network
Wireless Networks - Selected Papers from Mobicom'99
Urban sensing: out of the woods
Communications of the ACM - Urban sensing: out of the woods
Proceedings of the 7th international conference on Mobile systems, applications, and services
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Planet-scale human mobility measurement
Proceedings of the 2nd ACM International Workshop on Hot Topics in Planet-scale Measurement
AccuLoc: practical localization of performance measurements in 3G networks
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Identifying important places in people's lives from cellular network data
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Assessing location privacy in mobile communication networks
ISC'11 Proceedings of the 14th international conference on Information security
Location-aware click prediction in mobile local search
Proceedings of the 20th ACM international conference on Information and knowledge management
Steps towards the extraction of vehicular mobility patterns from 3g signaling data
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Differentially private summaries for sparse data
Proceedings of the 15th International Conference on Database Theory
Human mobility modeling at metropolitan scales
Proceedings of the 10th international conference on Mobile systems, applications, and services
Human mobility characterization from cellular network data
Communications of the ACM
Inferring human mobility patterns from anonymized mobile communication usage
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Quantifying the potential of ride-sharing using call description records
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Modeling cellular user mobility using a leap graph
PAM'13 Proceedings of the 14th international conference on Passive and Active Measurement
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An improved understanding of human mobility patterns would yield insights into a variety of important societal issues such as the environmental impact of daily commutes. Location information from cellular wireless networks has great potential as a tool for studying these patterns. In this work, we use anonymous and aggregate statistics of the approximate locations of hundreds of thousands of cell phones in Los Angeles and New York City to demonstrate different mobility patterns in the two cities. For example, we show that Angelenos have median daily travel distances two times greater than New Yorkers, but that the most mobile 25% of New Yorkers travel six times farther than their Los Angeles counterparts.