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Detecting weak public transport connections from cellphone and public transport data
12 references·8 citing·40 second hop
Detecting weak public transport connections from cellphone and public transport data (2014)Detecting weak public transport connectio…Exploring human movements in Singapore (2013)Exploring human movements in …Estimation of urban commuting patterns using cellphone network data (2012)Estimation of urban commuting…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Estimating Origin-Destination flows using opportunistically collected mobile phone location data from one million users in Boston Metropolitan Area (2011)Estimating Origin-Destination…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Understanding transportation modes based on GPS data for web applications (2010)Understanding transportation …Learning and inferring transportation routines (2007)Learning and inferring transp…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Mobility Detection Using Everyday GSM Traces (2006)Mobility Detection Using Ever…Cellular-Based Data-Extracting Method for Trip Distribution (2006)Cellular-Based Data-Extractin…Extracting origin destination information from mobile phone data (2002)Extracting origin destination…Are human activities consistent with planning? A big data evaluation of master plan implementation in Changchun (2022)Are human activities consiste…Travel cost analysis of an urban protected area and parks in Singapore: a mobile phone data application (2020)Travel cost analysis of an ur…Approaches, technologies and importance of analysis of the number of train travellers (2019)Approaches, technologies and …Use of mobile phone data for analysis of number of train travellers (2018)Use of mobile phone data for …Public Transportation Mode Detection from Cellular Data (2017)Public Transportation Mode De…Investigating Potential Transit Ridership by Fusing Smartcard and Global System for Mobile Communications Data (2017)Investigating Potential Trans…How bad is selfish routing in practice? (2017)How bad is selfish routing in…Traffic Measurement and Route Recommendation System for Mass Rapid Transit (MRT) (2015)Traffic Measurement and Route…Inferring High-Level Behavior from Low-Level Sensors (2003)Reality mining: sensing complex social systems (2005)Understanding and capturing people’s privacy policies in a mobile social networking application (2008)Mining Individual Life Pattern Based on Location History (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban magnetism through the lens of geo-tagged photography (2015)Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage (2018)Urban sensing based on mobile phone data: approaches, applications, and challenges (2020)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)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)Learning transportation mode from raw gps data for geographic applications on the web (2008)Understanding mobility based on GPS data (2008)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Applying mobile phone data to travel behaviour research: A literature review (2017)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)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)Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Evaluating long‐distance travel patterns in Israel by tracking cellular phone positions (2011)Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations (2015)Updating origin–destination matrices with aggregated data of GPS traces (2016)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)Moving and Calling: Mobile Phone Data Quality Measurements and Spatiotemporal Uncertainty in Human Mobility Studies (2013)Investigating the Mobile Phone Data to Estimate the Origin Destination Flow and Analysis; Case Study: Paris Region (2015)Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data (2020)
this work references cited by second hop

References

  • 2007Learning and inferring transportation routines798 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2010Understanding transportation modes based on GPS data for web applications485 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2006Mobility Detection Using Everyday GSM Traces277 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2013Exploring human movements in Singapore113 cited
  • 2002Extracting origin destination information from mobile phone data99 cited
  • 2011Estimating Origin-Destination flows using opportunistically collected mobile phone location data from one million users in Boston Metropolitan Area78 cited
  • 2012Estimation of urban commuting patterns using cellphone network data70 cited
  • 2006Cellular-Based Data-Extracting Method for Trip Distribution63 cited

Cited by

  • 2020Travel cost analysis of an urban protected area and parks in Singapore: a mobile phone data application66 cited
  • 2015Traffic Measurement and Route Recommendation System for Mass Rapid Transit (MRT)24 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2017Public Transportation Mode Detection from Cellular Data18 cited
  • 2018Use of mobile phone data for analysis of number of train travellers16 cited
  • 2017Investigating Potential Transit Ridership by Fusing Smartcard and Global System for Mobile Communications Data15 cited
  • 2022Are human activities consistent with planning? A big data evaluation of master plan implementation in Changchun12 cited
  • 2017How bad is selfish routing in practice?12 cited
  • 2019Approaches, technologies and importance of analysis of the number of train travellers11 cited