Data from mobile phone operators: A tool for smarter cities?John Steenbruggen, Emmanouil Tranos, Peter J. Nijkamp2014-05-22articleTelecommunications Policy184 citationsgreenNo readable copy stored yet — this record is metadata only.Human Mobility and Location-Based AnalysisGeographic Information Systems StudiesSmart Cities and TechnologiesAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 184 citations exist upstream.References2008Understanding individual human mobility patterns1991The Global City2009The Rise of the Network Society2005Cities and the Creative Class2010Limits of Predictability in Human Mobility2005Reality mining: sensing complex social systems2005The origin of bursts and heavy tails in human dynamics2009Inferring friendship network structure by using mobile phone dataCited by2020Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations2018Big data and understanding change in the context of planning transport systems2020New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data2021Analyzing Urban Spatial Patterns and Functional Zones Using Sina Weibo POI Data: A Case Study of Beijing2020Exploring new ways of visitor tracking using big data sources: Opportunities and limits of passive mobile data for tourism2022A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland2019The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea2016Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots