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Revealing Taxi Interaction Network of Urban Functional Area Units in Shenzhen, China
16 references·0 citing·44 second hop
Revealing Taxi Interaction Network of Urban Functional Area Units in Shenzhen, China (2022)Revealing Taxi Interaction Network of Urb…The Influence of the Covid-19 Pandemic on Mobility Patterns: The First Wave’s Results (2021)The Influence of the Covid-19…Exploring urban taxi ridership and local associated factors using GPS data and geographically weighted regression (2019)Exploring urban taxi ridershi…Analysis on spatiotemporal urban mobility based on online car-hailing data (2019)Analysis on spatiotemporal ur…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…A Multilayer perspective for the analysis of urban transportation systems (2017)A Multilayer perspective for …Uncovering urban human mobility from large scale taxi GPS data (2015)Uncovering urban human mobili…Uncovering the spatial structure of mobility networks (2015)Uncovering the spatial struct…Spatial variation of the urban taxi ridership using GPS data (2015)Spatial variation of the urba…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Inferring trip purposes and u…Anatomy and efficiency of urban multimodal mobility (2014)Anatomy and efficiency of urb…Land-Use Classification Using Taxi GPS Traces (2012)Land-Use Classification Using…Discovering Spatial Patterns in Origin‐Destination Mobility Data (2012)Discovering Spatial Patterns …Mining time-dependent attractive areas and movement patterns from taxi trajectory data (2009)Mining time-dependent attract…Characterizing the human mobility pattern in a large street network (2009)Characterizing the human mobi…From spatial interaction data to spatial interaction information? 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References

  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2009Characterizing the human mobility pattern in a large street network296 cited
  • 2012Land-Use Classification Using Taxi GPS Traces290 cited
  • 2015Uncovering urban human mobility from large scale taxi GPS data280 cited
  • 2015Spatial variation of the urban taxi ridership using GPS data256 cited
  • 2015Inferring trip purposes and uncovering travel patterns from taxi trajectory data254 cited
  • 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
  • 2015Uncovering the spatial structure of mobility networks200 cited
  • 2012Discovering Spatial Patterns in Origin‐Destination Mobility Data173 cited
  • 2017A Multilayer perspective for the analysis of urban transportation systems156 cited
  • 2014Anatomy and efficiency of urban multimodal mobility128 cited
  • 2021The Influence of the Covid-19 Pandemic on Mobility Patterns: The First Wave’s Results123 cited
  • 2009Mining time-dependent attractive areas and movement patterns from taxi trajectory data122 cited
  • 2019Analysis on spatiotemporal urban mobility based on online car-hailing data

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97 cited
  • 2019Exploring urban taxi ridership and local associated factors using GPS data and geographically weighted regression76 cited
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