SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics
10 references·6 citing·31 second hop
The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics (2014)The City Browser: Utilizing Massive Call …A review of urban computing for mobile phone traces (2013)A review of urban computing f…Understanding Road Usage Patterns in Urban Areas (2012)Understanding Road Usage Patt…Discovering urban spatial-temporal structure from human activity patterns (2012)Discovering urban spatial-tem…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Urban computing with taxicabs (2011)Urban computing with taxicabsRedrawing the Map of Great Britain from a Network of Human Interactions (2010)Redrawing the Map of Great Br…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 scaling laws of human travel (2006)The scaling laws of human tra…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones (2019)Discovering Individual Life S…Understanding Travel Patterns of Tourists from Mobile Phone Data: A Case Study in Hainan (2018)Understanding Travel Patterns…A Comparative Study of Urban Mobility Patterns Using Large-Scale Spatio-Temporal Data (2018)A Comparative Study of Urban …Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata (2016)Analysis of Tourism Dynamics …Harnessing heterogeneous social data to explore, monitor, and visualize urban dynamics (2015)Harnessing heterogeneous soci…Discovering People's Life Patterns from Anonymized WiFi Scanlists (2014)Discovering People's Life Pat…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Limits of Predictability in Human Mobility (2010)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)URBAN SPATIAL STRUCTURE. (1997)Consumer city (2001)A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior (2013)Functionally critical locations in an urban transportation network: Identification and space–time analysis using taxi trajectories (2015)Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data (2016)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Inferring friendship network structure by using mobile phone data (2009)The Spatial Economy: Cities, Regions, and International Trade (2000)Computational Social Science (2009)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A survey of results on mobile phone datasets analysis (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Understanding intra-urban trip patterns from taxi trajectory data (2012)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Revealing travel patterns and city structure with taxi trip data (2015)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2011Urban computing with taxicabs529 cited
  • 2010Redrawing the Map of Great Britain from a Network of Human Interactions424 cited
  • 2012Understanding Road Usage Patterns in Urban Areas371 cited
  • 2013A review of urban computing for mobile phone traces254 cited
  • 2012Discovering urban spatial-temporal structure from human activity patterns99 cited

Cited by

  • 2016Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata13 cited
  • 2018Understanding Travel Patterns of Tourists from Mobile Phone Data: A Case Study in Hainan11 cited
  • 2019Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones6 cited
  • 2014Discovering People's Life Patterns from Anonymized WiFi Scanlists5 cited
  • 2018A Comparative Study of Urban Mobility Patterns Using Large-Scale Spatio-Temporal Data

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

5 cited
  • 2015Harnessing heterogeneous social data to explore, monitor, and visualize urban dynamics4 cited