Article2011

A Tale of One City: Using Cellular Network Data for Urban Planning

Ramón Cáceres · K. J. Hanson · Ji Meng Loh · Simon Urbanek · Chris T. Volinsky

275 citations0/0 files storedIEEE Pervasive Computing

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Human Mobility and Location-Based Analysis Urban Design and Spatial Analysis Data Management and Algorithms

Abstract

Cellular data from call detail records can help urban planners better understand city dynamics. The authors use CDR data to analyze people flow in and out of a suburban city near New York City.

Citations in this library

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References

2008Understanding individual human mobility patterns 2010Limits of Predictability in Human Mobility 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis 2007Cellular Census: Explorations in Urban Data Collection 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events

Cited by

2013Big Data Integration 2014Data from mobile phone operators: A tool for smarter cities?2018Analyzing large-scale human mobility data: a survey of machine learning methods and applications 2020Urban sensing based on mobile phone data: approaches, applications, and challenges 2014Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong 2016A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas 2012Discovering urban spatial-temporal structure from human activity patterns 2013Annotating mobile phone location data with activity purposes using machine learning algorithms

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