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Activity-Based Urban Mobility Modeling from Cellular Data
16 references·1 citing·38 second hop
Activity-Based Urban Mobility Modeling from Cellular Data (2018)Activity-Based Urban Mobility Modeling fr…Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Predictability of population displacement after the 2010 Haiti earthquake (2012)Predictability of population …Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)Improved Response to Disaster…Friendship and mobility (2011)Friendship and mobilityLimits of Predictability in Human Mobility (2010)Limits of Predictability in H…Inferring friendship network structure by using mobile phone data (2009)Inferring friendship network …Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Deriving and validating trip …Understanding mobility based on GPS data (2008)Understanding mobility based …Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …Predestination: Inferring Destinations from Partial Trajectories (2006)Predestination: Inferring Des…Activity-based disaggregate travel demand model system with activity schedules (2001)Activity-based disaggregate t…Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Discrete Choice Analysis: The…BISTRO: Berkeley Integrated System for Transportation Optimization (2019)BISTRO: Berkeley Integrated S…Understanding individual human mobility patterns (2008)Power-Law Distributions in Empirical Data (2009)A survey of results on mobile phone datasets analysis (2015)Big Data for Development: A Review of Promises and Challenges (2015)Power-law distributions in empirical data (2018)Simulating dynamical features of escape panic (2000)Reality mining: sensing complex social systems (2005)A universal model for mobility and migration patterns (2012)Smart cities of the future (2012)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Discrete choice analysis: Theory and application to travel demand (1988)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Activity-based models of travel demand: promises, progress and prospects (2013)Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey (2014)Computational Social Science (2009)Human development report 2015: work for human development (2015)Predicting poverty and wealth from mobile phone metadata (2015)Measuring the information society (1989)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Social physics (2022)Birds of a Feather: Homophily in Social Networks (2001)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Natural Scales in Geographical Patterns (2017)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Geo-located Twitter as proxy for global mobility patterns (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Human mobility: Models and applications (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Urban Computing (2014)A survey of methods for time series change point detection (2016)Psychological status of the script concept. (1981)Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms (2010)The Voice of the Customer (1993)Discrete Choice Methods with Simulation (2001)How the built environment affects physical activity (2002)
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References

  • 1987Discrete Choice Analysis: Theory and Application to Travel Demand5,673 cited
  • 2010Limits of Predictability in Human Mobility3,282 cited
  • 2011Friendship and mobility2,972 cited
  • 2009Inferring friendship network structure by using mobile phone data1,872 cited
  • 2008Understanding mobility based on GPS data1,152 cited
  • 2014Dynamic population mapping using mobile phone data929 cited
  • 2001Activity-based disaggregate travel demand model system with activity schedules830 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example659 cited
  • 2011Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti652 cited
  • 2012Predictability of population displacement after the 2010 Haiti earthquake633 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web617 cited
  • 2013Unravelling daily human mobility motifs593 cited
  • 2014Development of origin–destination matrices using mobile phone call data524 cited
  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands519 cited

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  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories473 cited
  • Cited by

    • 2019BISTRO: Berkeley Integrated System for Transportation Optimization3 cited