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Explaining the power-law distribution of human mobility through transportationmodality decomposition
16 references·16 citing·33 second hopsampled
Explaining the power-law distribution of human mobility through transportationmodality decomposition (2015)Explaining the power-law distribution of …Power-law distributions in empirical data (2018)Power-law distributions in em…Universal predictability of mobility patterns in cities (2014)Universal predictability of m…Unraveling the origin of exponential law in intra-urban human mobility (2013)Unraveling the origin of expo…Diversity of individual mobility patterns and emergence of aggregated scaling laws (2013)Diversity of individual mobil…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 taxicabsThe scaling of human mobility by taxis is exponential (2011)The scaling of human mobility…Understanding transportation modes based on GPS data for web applications (2010)Understanding transportation …Towards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…Characterizing the human mobility pattern in a large street network (2009)Characterizing the human mobi…Understanding mobility based on GPS data (2008)Understanding mobility based …Understanding individual human mobility patterns (2008)Understanding individual huma…Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …The scaling laws of human travel (2006)The scaling laws of human tra…Power laws, Pareto distributions and Zipf's law (2005)Power laws, Pareto distributi…A Brief History of Generative Models for Power Law and Lognormal Distributions (2004)A Brief History of Generative…Characterising travel behaviour patterns of transport hub station area users using mobile phone data (2024)Characterising travel behavio…Understanding spatial-temporal travel demand of free-floating bike sharing connecting with metro stations (2021)Understanding spatial-tempora…Mapping global variation in human mobility (2020)Mapping global variation in h…Urban Human Mobility (2019)Urban Human MobilityQuantifying human mobility resilience to extreme events using geo-located social media data (2019)Quantifying human mobility re…Characterizing preferred motif choices and distance impacts (2019)Characterizing preferred moti…Unraveling pedestrian mobility on a road network using ICTs data during great tourist events (2018)Unraveling pedestrian mobilit…Individual mobility prediction using transit smart card data (2018)Individual mobility predictio…Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective (2018)Exploring Human Mobility Patt…Multi-scale spatio-temporal analysis of human mobility (2017)Multi-scale spatio-temporal a…Human mobility in space from three modes of public transportation (2017)Human mobility in space from …Emergence of encounter networks due to human mobility (2017)Emergence of encounter networ…Aggregated responses of human mobility to severe winter storms: An empirical study (2017)Aggregated responses of human…Urban human mobility data mining: An overview (2016)Urban human mobility data min…Demand and Congestion in Multiplex Transportation Networks (2016)Demand and Congestion in Mult…A stochastic model of randomly accelerated walkers for human mobility (2016)A stochastic model of randoml…The origin of bursts and heavy tails in human dynamics (2005)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)The frequency distribution of scientific productivity (1926)Human behavior and the principle of least effort (1949)The Pricing of Options and Corporate Liabilities (1973)Cumulative Advantage as a Mechanism for Inequality: A Review of Theoretical and Empirical Developments (2006)Power Laws in Economics and Finance (2009)Dynamic population mapping using mobile phone data (2014)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Reality mining: sensing complex social systems (2005)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)Inferring High-Level Behavior from Low-Level Sensors (2003)Transportation mode detection using mobile phones and GIS information (2011)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)The Matthew Effect in Science (1968)The Matthew effect in science. The reward and communication systems of science are considered. (1968)Power-Law Distributions in Empirical Data (2009)Error and the Growth of Experimental Knowledge (1996)How popular is your paper? An empirical study of the citation distribution (1998)Weaponized Interdependence: How Global Economic Networks Shape State Coercion (2019)Next place prediction using mobility Markov chains (2012)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)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)
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References

  • 2018Power-law distributions in empirical data6,499 cited
  • 2008Understanding individual human mobility patterns6,071 cited
  • 2005Power laws, Pareto distributions and Zipf's law5,744 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2004A Brief History of Generative Models for Power Law and Lognormal Distributions1,809 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2008Understanding mobility based on GPS data1,131 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2011Urban computing with taxicabs529 cited
  • 2010Understanding transportation modes based on GPS data for web applications485 cited
  • 2009Characterizing the human mobility pattern in a large street network296 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2011The scaling of human mobility by taxis is exponential239 cited
  • 2014Universal predictability of mobility patterns in cities198 cited
  • 2013Unraveling the origin of exponential law in intra-urban human mobility165 cited

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  • 2013Diversity of individual mobility patterns and emergence of aggregated scaling laws159 cited
  • Cited by

    • 2018Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective149 cited
    • 2018Individual mobility prediction using transit smart card data140 cited
    • 2020Mapping global variation in human mobility137 cited
    • 2016Urban human mobility data mining: An overview132 cited
    • 2016A stochastic model of randomly accelerated walkers for human mobility114 cited
    • 2019Urban Human Mobility111 cited
    • 2019Quantifying human mobility resilience to extreme events using geo-located social media data100 cited
    • 2017Multi-scale spatio-temporal analysis of human mobility87 cited
    • 2021Understanding spatial-temporal travel demand of free-floating bike sharing connecting with metro stations63 cited
    • 2024Characterising travel behaviour patterns of transport hub station area users using mobile phone data49 cited
    • 2017Emergence of encounter networks due to human mobility46 cited
    • 2017Aggregated responses of human mobility to severe winter storms: An empirical study46 cited
    • 2017Human mobility in space from three modes of public transportation40 cited
    • 2016Demand and Congestion in Multiplex Transportation Networks39 cited
    • 2018Unraveling pedestrian mobility on a road network using ICTs data during great tourist events36 cited
    • 2019Characterizing preferred motif choices and distance impacts33 cited