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Understanding Urban Mobility Pattern with Cellular Phone Data: A Case Study of Residents and Travelers in Nanjing
16 references·0 citing·31 second hop
Understanding Urban Mobility Pattern with Cellular Phone Data: A Case Study of Residents and Travelers in Nanjing (2019)Understanding Urban Mobility Pattern with…Multi-scale spatio-temporal analysis of human mobility (2017)Multi-scale spatio-temporal a…Mapping collective human activity in an urban environment based on mobile phone data (2014)Mapping collective human acti…Exploring human mobility with multi-source data at extremely large metropolitan scales (2014)Exploring human mobility with…Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Correction: A Tale of Many Ci…Are call detail records biased for sampling human mobility? (2012)Are call detail records biase…A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic (2012)A Visual Analytics Approach f…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Understanding individual human mobility patterns (2008)Understanding individual huma…The role of transport infrastructure in international tourism development: A gravity model approach (2007)The role of transport infrast…The scaling laws of human travel (2006)The scaling laws of human tra…A gravity model analysis of international migration to North America (2000)A gravity model analysis of i…The calibration of trip distribution models with exponential or similar cost functions (1971)The calibration of trip distr…The origin of bursts and heavy tails in human dynamics (2005)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data (2017)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic (2021)A Theoretical Foundation for the Gravity Equation. (1979)A new insight into land use classification based on aggregated mobile phone data (2014)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)A universal model for mobility and migration patterns (2012)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Initial conditions and moment restrictions in dynamic panel data models (1998)Testing for unit roots in heterogeneous panels (2003)A Spatial Econometric Approach to Model Spillover Effects in Tourism Flows (2012)Gravity models for tourism demand: theory and use (2014)The effects of natural disasters on international tourism: A global analysis (2020)Specification Tests in Econometrics (1978)The theory and practice of econometrics (1986)Analysis of Panel Data (2003)The impact of mega-sport events on tourist arrivals (2011)The effect of income and immigration policies on international migration (2013)The Effectiveness of Immigration Policies (2013)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)The universal visitation law of human mobility (2021)A survey of results on mobile phone datasets analysis (2015)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2007The role of transport infrastructure in international tourism development: A gravity model approach669 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2000A gravity model analysis of international migration to North America549 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2014Exploring human mobility with multi-source data at extremely large metropolitan scales153 cited
  • 1971The calibration of trip distribution models with exponential or similar cost functions134 cited
  • 2012Are call detail records biased for sampling human mobility?124 cited
  • 2012Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility111 cited
  • 2017Multi-scale spatio-temporal analysis of human mobility87 cited
  • 2014

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Mapping collective human activity in an urban environment based on mobile phone data
66 cited
  • 2012A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic57 cited
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