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Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data
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Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data (2018)Characteristics analysis for travel behav…Characterizing Passenger Flow for a Transportation Hub Based on Mobile Phone Data (2016)Characterizing Passenger Flow…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…Mapping collective human activity in an urban environment based on mobile phone data (2014)Mapping collective human acti…From traces to trajectories: How well can we guess activity locations from mobile phone traces? (2014)From traces to trajectories: …Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China (2013)Investigating commuting flexi…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Estimation of urban commuting patterns using cellphone network data (2012)Estimation of urban commuting…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)Activity-Aware Map: Identifyi…Understanding individual human mobility patterns (2008)Understanding individual huma…Cellular-Based Data-Extracting Method for Trip Distribution (2006)Cellular-Based Data-Extractin…Tracking survey for individual travel behaviour using mobile communication instruments (2004)Tracking survey for individua…Revealing non-work travel patterns under the influence of multiple actors: An integrated geospatial agent-based approach (2025)Revealing non-work travel pat…Designing Feeder Bus Routes: A Two-Stage Programming Model Using Existing Bus Stops (2025)Designing Feeder Bus Routes: …Non-linear effects of built environment and socio-demographics on activity space (2023)Non-linear effects of built e…Mobile Phone Data: A Survey of Techniques, Features, and Applications (2023)Mobile Phone Data: A Survey o…Decomposition of travel time expenditure through individual mobility trajectories based on mobile phone signaling data (2023)Decomposition of travel time …Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data (2022)Travel Patterns Analysis Usin…Data-driven behavioral analysis and applications: A case study in Changchun, China (2022)Data-driven behavioral analys…Vehicle travel path recognition in urban dense road network environments by using mobile phone data (2021)Vehicle travel path recogniti…Short-Term Estimation and Prediction of Pedestrian Density in Urban Hot Spots Based on Mobile Phone Data (2021)Short-Term Estimation and Pre…Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information (2021)Modeling Tourists’ Departure …Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda (2021)Mobile Technology and Studies…Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data (2021)Discovering spatiotemporal ch…An Adaptive Staying Point Recognition Algorithm Based on Spatiotemporal Characteristics Using Cellular Signaling Data (2021)An Adaptive Staying Point Rec…Revealing Urban Traffic Demand by Constructing Dynamic Networks With Taxi Trajectory Data (2020)Revealing Urban Traffic Deman…Study of the School–Residence Spatial Relationship and the Characteristics of Travel-to-School Distance in Shenyang (2019)Study of the School–Residence…Revenue Model of Supply Chain by Internet of Things Technology (2018)Revenue Model of Supply Chain…Reality mining: sensing complex social systems (2005)Correlating mobile phone usage and travel behavior – A case study of Harbin, China (2011)Intra-urban human mobility patterns: An urban morphology perspective (2011)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)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)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data (2015)A data driven method for OD matrix estimation (2019)The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area (2021)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Route Choice: Wayfinding in Transport Networks (1990)Measuring behaviour: an introductory guide (1994)Measuring Behaviour. An Introductory Guide (1994)A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games (2011)New Approaches to Human Mobility: Using Mobile Phones for Demographic Research (2012)Supporting large-scale travel surveys with smartphones – A practical approach (2013)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)The universal visitation law of human mobility (2021)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge (2016)A Generative Model of Urban Activities from Cellular Data (2017)Transport mode detection based on mobile phone network data: A systematic review (2019)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data280 cited
  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2004Tracking survey for individual travel behaviour using mobile communication instruments196 cited
  • 2014From traces to trajectories: How well can we guess activity locations from mobile phone traces?164 cited
  • 2013Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China124 cited
  • 2012Estimation of urban commuting patterns using cellphone network data70 cited
  • 2014Mapping collective human activity in an urban environment based on mobile phone data66 cited
  • 2006Cellular-Based Data-Extracting Method for Trip Distribution63 cited

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  • 2016Characterizing Passenger Flow for a Transportation Hub Based on Mobile Phone Data46 cited
  • Cited by

    • 2021Short-Term Estimation and Prediction of Pedestrian Density in Urban Hot Spots Based on Mobile Phone Data37 cited
    • 2021Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data35 cited
    • 2023Mobile Phone Data: A Survey of Techniques, Features, and Applications34 cited
    • 2023Non-linear effects of built environment and socio-demographics on activity space29 cited
    • 2018Revenue Model of Supply Chain by Internet of Things Technology23 cited
    • 2019Study of the School–Residence Spatial Relationship and the Characteristics of Travel-to-School Distance in Shenyang21 cited
    • 2020Revealing Urban Traffic Demand by Constructing Dynamic Networks With Taxi Trajectory Data20 cited
    • 2021Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda15 cited
    • 2021An Adaptive Staying Point Recognition Algorithm Based on Spatiotemporal Characteristics Using Cellular Signaling Data11 cited
    • 2021Vehicle travel path recognition in urban dense road network environments by using mobile phone data11 cited
    • 2023Decomposition of travel time expenditure through individual mobility trajectories based on mobile phone signaling data9 cited
    • 2022Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data6 cited
    • 2025Revealing non-work travel patterns under the influence of multiple actors: An integrated geospatial agent-based approach4 cited
    • 2022Data-driven behavioral analysis and applications: A case study in Changchun, China4 cited
    • 2021Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information3 cited
    • 2025Designing Feeder Bus Routes: A Two-Stage Programming Model Using Existing Bus Stops2 cited