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Mobility networks in Greater Mexico City
16 references·1 citing·44 second hop
Mobility networks in Greater Mexico City (2024)Mobility networks in Greater Mexico CityIntermunicipal travel networks of Mexico during the COVID-19 pandemic (2023)Intermunicipal travel network…Unveiling transit mobility structure towards sustainable cities: An integrated graph embedding approach (2021)Unveiling transit mobility st…Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data (2021)Resolving urban mobility netw…Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada (2020)Visualizing public transit sy…Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data (2020)Urban mobility and resilience…Ranking places in attributed temporal urban mobility networks (2020)Ranking places in attributed …Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)Multiscale dynamic human mobi…Revealing latent characteristics of mobility networks with coarse-graining (2019)Revealing latent characterist…Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System (2019)Analysis of Network Structure…Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data (2017)Depicting urban boundaries fr…Understanding congested travel in urban areas (2016)Understanding congested trave…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset (2014)From bicycle sharing system m…Cities, mobility and climate change (2011)Cities, mobility and climate …Understanding individual human mobility patterns (2008)Understanding individual 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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2011Cities, mobility and climate change493 cited
  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2016Understanding congested travel in urban areas406 cited
  • 2020Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic259 cited
  • 2017Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data113 cited
  • 2014From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset92 cited
  • 2021Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data65 cited
  • 2020Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada60 cited
  • 2019Revealing latent characteristics of mobility networks with coarse-graining37 cited
  • 2019Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System34 cited
  • 2020Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data28 cited
  • 2021Unveiling transit mobility structure towards sustainable cities: An integrated graph embedding approach

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26 cited
  • 2020Ranking places in attributed temporal urban mobility networks14 cited
  • 2023Intermunicipal travel networks of Mexico during the COVID-19 pandemic11 cited
  • Cited by

    • 2025Human Mobility Datasets in the Complex Metro System of Shanghai7 cited