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17 From Taxi GPS Traces to Social and Community Dynamics: A Survey
16 references·5 citing·25 second hop
17 From Taxi GPS Traces to Social and Community Dynamics: A Survey (2013)17 From Taxi GPS Traces to Social and Com…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 taxicabsModelling the scaling properties of human mobility (2010)Modelling the scaling propert…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Inferring social ties from geographic coincidences (2010)Inferring social ties from ge…Find me if you can (2010)Find me if you canInferring friendship network structure by using mobile phone data (2009)Inferring friendship network …Understanding individual human mobility patterns (2008)Understanding individual huma…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…OpenStreetMap: User-Generated Street Maps (2008)OpenStreetMap: User-Generated…Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …Learning and inferring transportation routines (2007)Learning and inferring transp…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Inferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes] (2021)2TD Path-Planner: Towards a M…Research on taxi drivers' passenger hotspot selecting patterns based on GPS data: A case study in Wuhan (2017)Research on taxi drivers' pas…An analysis of movement patterns between zones using taxi GPS data (2017)An analysis of movement patte…Understanding Taxi Drivers’ Multi-day Cruising Patterns (2015)Understanding Taxi Drivers’ M…Discovering People's Life Patterns from Anonymized WiFi Scanlists (2014)Discovering People's Life Pat…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)The world is flat: a brief history of the twenty-first century (2006)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Understanding mobility based on GPS data (2008)Me++ (2003)Me++: The Cyborg Self and the Networked City (2003)Dynamic population mapping using mobile phone data (2014)A survey of results on mobile phone datasets analysis (2015)Human mobility: Models and applications (2018)Psychological status of the script concept. (1981)Computational Social Science (2009)Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms (2010)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Social signal processing: Survey of an emerging domain (2008)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)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2008OpenStreetMap: User-Generated Street Maps3,219 cited
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2009Inferring friendship network structure by using mobile phone data1,858 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2007Learning and inferring transportation routines798 cited
  • 2010Find me if you can705 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2011Urban computing with taxicabs529 cited
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited

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2010
Inferring social ties from geographic coincidences
473 cited

Cited by

  • 2017An analysis of movement patterns between zones using taxi GPS data18 cited
  • 20212TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes]10 cited
  • 2017Research on taxi drivers' passenger hotspot selecting patterns based on GPS data: A case study in Wuhan10 cited
  • 2015Understanding Taxi Drivers’ Multi-day Cruising Patterns8 cited
  • 2014Discovering People's Life Patterns from Anonymized WiFi Scanlists5 cited