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Modelling trip generation using mobile phone data: A latent demographics approach
13 references·16 citing·35 second hop
Modelling trip generation using mobile phone data: A latent demographics approach (2017)Modelling trip generation using mobile ph…Scaling identity connects human mobility and social interactions (2016)Scaling identity connects hum…The path most traveled: Travel demand estimation using big data resources (2015)The path most traveled: Trave…Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data (2014)Intra-Urban Human Mobility an…Inferring user demographics and social strategies in mobile social networks (2014)Inferring user demographics a…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Understanding urban human act…The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Human mobility modeling at metropolitan scales (2012)Human mobility modeling at me…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Understanding individual human mobility patterns (2008)Understanding individual huma…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …Conditional logit analysis of qualitative choice behavior (1972)Conditional logit analysis of…A comprehensive review of trip generation models based on land use characteristics (2022)A comprehensive review of tri…Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data (2021)Synthesising digital twin tra…Regional mobility during the Covid-19 pandemic: Analysis of trends and repercussions using mobile phones data across the EU (2021)Regional mobility during the …Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda (2021)Mobile Technology and Studies…COVID-19 and social distancing: Disparities in mobility adaptation between income groups (2021)COVID-19 and social distancin…Understanding Human Activity and Urban Mobility Patterns From Massive Cellphone Data: Platform Design and Applications (2020)Understanding Human Activity …Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns (2020)Mobile phone data statistics …Methods for Inferring Route Choice of Commuting Trip From Mobile Phone Network Data (2020)Methods for Inferring Route C…Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling (2020)Getting the best of both worl…Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys (2020)Exploring strengths and weakn…Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data (2020)Effects of Data Preprocessing…Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model (2020)Comparative Analysis of Trave…Modelling residential mobility decision and its impact on car ownership and travel mode (2019)Modelling residential mobilit…Modelling departure time choice using mobile phone data (2019)Modelling departure time choi…Analysis of trip generation rates in residential commuting based on mobile phone signaling data (2019)Analysis of trip generation r…Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data (2018)Understanding travellers’ pre…Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Predicting future locations with hidden Markov models (2012)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)A universal model for mobility and migration patterns (2012)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The Age of Migration (1998)Friendship and mobility (2011)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Agent-based modeling: Methods and techniques for simulating human systems (2002)Limits of Predictability in Human Mobility (2010)A scalable framework for spatiotemporal analysis of location-based social media data (2015)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Uncovering the spatial structure of mobility networks (2015)A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Data from mobile phone operators: A tool for smarter cities? (2014)Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Macroeconomics and Reality (1980)Discrete Choice Methods with Simulation (2001)Urban activity pattern classification using topic models from online geo-location data (2014)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)The TimeGeo modeling framework for urban mobility without travel surveys (2016)Understanding congested travel in urban areas (2016)A survey of results on mobile phone datasets analysis (2015)
this work references cited by second hop

References

  • 1972Conditional logit analysis of qualitative choice behavior14,281 cited
  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 2015The path most traveled: Travel demand estimation using big data resources418 cited
  • 2013Understanding urban human activity and mobility patterns using large-scale location-based data from online social media315 cited
  • 2012Human mobility modeling at metropolitan scales295 cited
  • 2014Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data216 cited
  • 2014Inferring user demographics and social strategies in mobile social networks203 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2016Scaling identity connects human mobility and social interactions109 cited

Cited by

  • 2021COVID-19 and social distancing: Disparities in mobility adaptation between income groups66 cited

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2021
Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data
56 cited
  • 2018Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data56 cited
  • 2020Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling44 cited
  • 2020Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys43 cited
  • 2019Modelling residential mobility decision and its impact on car ownership and travel mode36 cited
  • 2020Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data36 cited
  • 2022A comprehensive review of trip generation models based on land use characteristics35 cited
  • 2019Analysis of trip generation rates in residential commuting based on mobile phone signaling data27 cited
  • 2020Understanding Human Activity and Urban Mobility Patterns From Massive Cellphone Data: Platform Design and Applications23 cited
  • 2019Modelling departure time choice using mobile phone data22 cited
  • 2020Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model20 cited
  • 2020Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns17 cited
  • 2020Methods for Inferring Route Choice of Commuting Trip From Mobile Phone Network Data17 cited
  • 2021Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda15 cited
  • 2021Regional mobility during the Covid-19 pandemic: Analysis of trends and repercussions using mobile phones data across the EU14 cited