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Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations
16 references·16 citing·41 second hopsampled
Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations (2015)Passive Mobile Phone Dataset to Construct…From traces to trajectories: How well can we guess activity locations from mobile phone traces? (2014)From traces to trajectories: …Influence of weather conditions on transit ridership: A statistical study using data from Smartcards (2013)Influence of weather conditio…Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments (2013)Exploiting Foursquare and Cel…Understanding Road Usage Patterns in Urban Areas (2012)Understanding Road Usage Patt…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Friendship and mobility (2011)Friendship and mobilityEstimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)The Geography of Taste: Analy…Understanding individual human mobility patterns (2008)Understanding individual huma…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Household travel surveys: Where are we going? (2006)Household travel surveys: Whe…Extracting places from traces of locations (2004)Extracting places from traces…Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey (2003)Impact of Underreporting on M…Extracting origin destination information from mobile phone data (2002)Extracting origin destination…An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques (2024)An Interdisciplinary Survey o…Potential of cellular signaling data for time-of-day estimation and spatial classification of travel demand: a large-scale comparative study with travel survey and land use data (2021)Potential of cellular signali…Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey, location-based big data and discrete choice models (2021)Estimating commuting matrix a…Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement (2021)Data-Driven Methodology for S…COVID-19 and social distancing: Disparities in mobility adaptation between income groups (2021)COVID-19 and social distancin…Probabilistic positioning in mobile phone network and its consequences for the privacy of mobility data (2020)Probabilistic positioning in …Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns (2020)Mobile phone data statistics …A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France) (2020)A data-driven approach for or…Social media and urban mobility: Using twitter to calculate home-work travel matrices (2019)Social media and urban mobili…Estimating the Residential Population from Mobile Phone Data, an Initial Exploration (2019)Estimating the Residential Po…Estimating the geographic distribution of originating air travel demand using a bi-level optimization model (2019)Estimating the geographic dis…Origin-Destination estimation using mobile network probe data (2018)Origin-Destination estimation…Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case (2018)Improving A Priori Demand Est…Estimation of Originating-Destination Trips in Yangon by Using Big Data Source (2018)Estimation of Originating-Des…Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis (2018)Access and egress times to hi…Closer to the total? Long-distance travel of French mobile phone users (2017)Closer to the total? Long-dis…Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)A Tale of One City: Using Cellular Network Data for Urban Planning (2011)From taxi GPS traces to social and community dynamics (2013)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)A review of urban computing for mobile phone traces (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)The origin of bursts and heavy tails in human dynamics (2005)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)Property, Privacy, and Personal Data (2004)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Children's Independent Movement in the Local Environment (2007)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)A GPS/GIS method for travel mode detection in New York City (2011)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)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)DeepMove (2018)Power-law distributions in empirical data (2018)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)The universal visitation law of human mobility (2021)Observing the rhythms of daily life: A six-week travel diary (2002)Introduction: Habitual travel choice (2003)The potential of public transport smart card data (2005)Passenger Segmentation Using Smart Card Data (2014)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Inferring patterns in the multi-week activity sequences of public transport users (2016)Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities (2011)Traffic zone division based on big data from mobile phone base stations (2015)Transport modelling in the age of big data (2017)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2011Friendship and mobility2,912 cited
  • 2011Smart card data use in public transit: A literature review930 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2012Understanding Road Usage Patterns in Urban Areas371 cited
  • 2006Household travel surveys: Where are we going?317 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events280 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2004Extracting places from traces of locations238 cited
  • 2003Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey178 cited
  • 2014From traces to trajectories: How well can we guess activity locations from mobile phone traces?164 cited
  • 2013Influence of weather conditions on transit ridership: A statistical study using data from Smartcards158 cited
  • 2013Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments

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133 cited
  • 2002Extracting origin destination information from mobile phone data99 cited
  • Cited by

    • 2019Social media and urban mobility: Using twitter to calculate home-work travel matrices79 cited
    • 2017Closer to the total? Long-distance travel of French mobile phone users71 cited
    • 2020A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)68 cited
    • 2021COVID-19 and social distancing: Disparities in mobility adaptation between income groups66 cited
    • 2018Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis64 cited
    • 2024An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques55 cited
    • 2018Origin-Destination estimation using mobile network probe data43 cited
    • 2018Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case30 cited
    • 2021Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement26 cited
    • 2019Estimating the Residential Population from Mobile Phone Data, an Initial Exploration24 cited
    • 2019Estimating the geographic distribution of originating air travel demand using a bi-level optimization model21 cited
    • 2021Potential of cellular signaling data for time-of-day estimation and spatial classification of travel demand: a large-scale comparative study with travel survey and land use data19 cited
    • 2021Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey, location-based big data and discrete choice models19 cited
    • 2020Probabilistic positioning in mobile phone network and its consequences for the privacy of mobility data18 cited
    • 2018Estimation of Originating-Destination Trips in Yangon by Using Big Data Source18 cited
    • 2020Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns17 cited