IEEE Pervasive Computing · 2007 · 404 citations · 13 references
Social SciencesUrban PlanningUrban StudiesMobile ComputingSpatial AnalysisUrban GeographyCensus Data CollectionMobility Pattern AnalysisUrban NetworksUrban Spatial AnalysisUrban Spatial DistributionData AccessMobile Data CollectionSpatiotemporal Data AnalysisSpatiotemporal Urban DynamicsTelecommunications NetworksUrban Data AnalyticsUrban SensingUrban Survey
Urban systems have traditionally been studied through surveys, which provide detailed but static snapshots, while recent mobile‑device approaches have not yet leveraged the vast daily data generated by mobile networks due to data‑sharing barriers. This study investigates how researchers can use comprehensive metropolitan mobile‑phone data to analyze urban dynamics. In 2006, a partnership between Telecom Italia and MIT’s Senseable City Laboratory granted unprecedented access to aggregate mobile‑phone data from Rome, enabling this analysis.
Much of our understanding of urban systems comes from traditional data collection methods such as surveys by person or phone. These approaches can provide detailed information about urban behaviors, but they're hard to update and might limit results to "snapshots in time." In the past few years, some innovative approaches have sought to use mobile devices to collect spatiotemporal data. But little research has been done to develop and analyze the much larger samples of existing data generated daily by mobile networks. The most common explanation for this is that the challenge of data-sharing with the telecommunications industry has hampered data access. However, in early 2006, a collaboration between Telecom Italia, which serves 40 percent of the Roman market, and MIT's SKNSEable City Laboratory (http://senseable.mit.edu) allowed unprecedented access to aggregate mobile phone data from Rome. Here, we explore how researchers might be able to use data for an entire metropolitan region to analyze urban dynamics.
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Mimí Sheller, John Urry · Environment and Planning A Economy and Space · 2006 · 5.4K citations
Reality mining: sensing complex social systems
Nathan Eagle, Alex Pentland · Personal and Ubiquitous Computing · 2005 · 2.8K citations
Computing, Data Science, Data Mining +13