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Estimating long-distance travel demand with mobile phone billing data
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Estimating long-distance travel demand with mobile phone billing data (2016)Estimating long-distance travel demand wi…Pattern analysis of Japanese long-distance travel change under the COVID-19 pandemic (2023)Pattern analysis of Japanese …Inferring Inter-City Trip Purpose From the Perspective of the Group (2021)Inferring Inter-City Trip Pur…Mode choice and spatial distribution in long-distance passenger transport – Does mobile network data deliver similar results to other transportation models? (2020)Mode choice and spatial distr…Geographical veracity of indicators derived from mobile phone data (2018)Geographical veracity of indi…Trip extraction for traffic analysis using cellular network data (2017)Trip extraction for traffic a…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Development of origin–destination matrices using mobile phone call data (2014)The path most traveled: Travel demand estimation using big data resources (2015)Limits of Predictability in Human Mobility (2010)Predicting Personality Using Novel Mobile Phone-Based Metrics (2013)Dynamic population mapping using mobile phone data (2014)Can Mobile Phone Data Improve the Measurement of International Tourism in France? (2019)Citizen Data and Trust in Official Statistics (2019)Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)The Four-Step Model (2007)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Understanding individual human mobility patterns (2008)How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands (2020)A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions (2025)Railway-station-area vitality in response to COVID-19: A case study of diverse Japanese cities (2025)Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021 (2025)
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Cited by

  • 2020Mode choice and spatial distribution in long-distance passenger transport – Does mobile network data deliver similar results to other transportation models?10 cited
  • 2018Geographical veracity of indicators derived from mobile phone data10 cited
  • 2023Pattern analysis of Japanese long-distance travel change under the COVID-19 pandemic9 cited
  • 2021Inferring Inter-City Trip Purpose From the Perspective of the Group4 cited
  • 2017Trip extraction for traffic analysis using cellular network data4 cited

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