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Detecting Home and Work Locations from Mobile Phone Cellular Signaling Data
16 references·10 citing·36 second hop
Detecting Home and Work Locations from Mobile Phone Cellular Signaling Data (2021)Detecting Home and Work Locations from Mo…Tracking job and housing dynamics with smartcard data (2018)Tracking job and housing dyna…Mobile Phone Data Analysis: A Spatial Exploration Toward Hotspot Detection (2018)Mobile Phone Data Analysis: A…Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Clustering Passenger Trip Dat…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore (2015)Exploratory Analysis of a Sma…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Urban Sensing Using Mobile Ph…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…A Survey of Digital Map Processing Techniques (2014)A Survey of Digital Map Proce…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Jobs-Housing Balance Revisited: Trends and Impacts in the San Francisco Bay Area (1996)Jobs-Housing Balance Revisite…ERROR ON CHOROPLETHIC MAPS: DEFINITION, MEASUREMENT, REDUCTION (1971)ERROR ON CHOROPLETHIC MAPS: D…Urban Functional Zone Classification via Advanced Multi-Modal Data Fusion (2024)Urban Functional Zone Classif…Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories (2024)Investigating the relative ac…From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research (2024)From cell tower location to u…A Transport Mode Detection Framework Based on Mobile Phone Signaling Data Combined with Bus GPS Data (2024)A Transport Mode Detection Fr…LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification (2023)LTP-Net: Life-Travel Pattern …Inferring alighting bus stops from smart card data combined with cellular signaling data (2023)Inferring alighting bus stops…Data-driven traffic zone division in smart city: Framework and technology (2022)Data-driven traffic zone divi…Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain (2022)Analysis of Key Commuting Rou…Activity location recognition from mobile phone data using improved HAC and Bi‐LSTM (2022)Activity location recognition…A Travel Mode Identification Framework Based on Cellular Signaling Data (2022)A Travel Mode Identification …Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Returners and explorers dichotomy in human mobility (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Using GPS to learn significant locations and predict movement across multiple users (2003)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Annals of the Association of American Geographers (1921)A statistical theory of spatial distribution models (1967)Is the Journey to Work Explained by Urban Structure? (1993)Moving up versus moving out: Neighborhood effects in housing mobility programs (1997)Efficient Urbanisation: Economic Performance and the Shape of the Metropolis (2001)How important is access to jobs? Old question--improved answer (2009)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)A universal model for mobility and migration patterns (2012)Modelling the scaling properties of human mobility (2010)The path most traveled: Travel demand estimation using big data resources (2015)Big data: The next frontier for innovation, competition, and productivity (2011)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Inferring dynamic origin-destination flows by transport mode using mobile phone data (2019)Transport mode detection based on mobile phone network data: A systematic review (2019)Travel and the Built Environment (2010)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Choropleth Maps Without Class Intervals? (1973)Maximum‐Difference Barriers: An Alternative Numerical Regionalization Method* (1973)Historical GIS: Technologies, Methodologies, and Scholarship (2008)Travel mode detection based on GPS track data and Bayesian networks (2015)Fifteen years of social media in emergencies: A retrospective review and future directions for crisis Informatics (2017)Social media for intelligent public information and warning in disasters: An interdisciplinary review (2019)
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References

  • 2014A Survey of Digital Map Processing Techniques694 cited
  • 1971ERROR ON CHOROPLETHIC MAPS: DEFINITION, MEASUREMENT, REDUCTION690 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 1996Jobs-Housing Balance Revisited: Trends and Impacts in the San Francisco Bay Area343 cited
  • 2014Urban Sensing Using Mobile Phone Network Data: A Survey of Research334 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2018Tracking job and housing dynamics with smartcard data193 cited
  • 2015Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore92 cited
  • 2018Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus

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79 cited
  • 2018Mobile Phone Data Analysis: A Spatial Exploration Toward Hotspot Detection61 cited
  • Cited by

    • 2024From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research15 cited
    • 2022A Travel Mode Identification Framework Based on Cellular Signaling Data14 cited
    • 2022Data-driven traffic zone division in smart city: Framework and technology14 cited
    • 2022Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain12 cited
    • 2024Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories8 cited
    • 2024Urban Functional Zone Classification via Advanced Multi-Modal Data Fusion5 cited
    • 2022Activity location recognition from mobile phone data using improved HAC and Bi‐LSTM5 cited
    • 2024A Transport Mode Detection Framework Based on Mobile Phone Signaling Data Combined with Bus GPS Data4 cited
    • 2023LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification4 cited
    • 2023Inferring alighting bus stops from smart card data combined with cellular signaling data4 cited