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Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization
10 references·5 citing·39 second hop
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization (2016)Mining Ticketing Logs for Usage Character…From mobile phone data to the spatial structure of cities (2014)From mobile phone data to the…Clustering the Vélib׳ dynamic Origin/Destination flows using a family of Poisson mixture models (2014)Clustering the Vélib׳ dynamic…Mining temporal patterns of transport behaviour for predicting future transport usage (2013)Mining temporal patterns of t…Collective Human Mobility Pattern from Taxi Trips in Urban Area (2012)Collective Human Mobility Pat…Avoiding the crowds (2012)Avoiding the crowdsLimits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…The scaling laws of human travel (2006)The scaling laws of human tra…Sustainable Urban Transportation: Performance Indicators and Some Analytical Approaches (2002)Sustainable Urban Transportat…Analysis of traffic corridor impacts from the introduction of the new Athens Metro system (2002)Analysis of traffic corridor …Spatiotemporal Evolution of Travel Pattern Using Smart Card Data (2022)Spatiotemporal Evolution of T…Investigating the Potential of Data Science Methods for Sustainable Public Transport (2022)Investigating the Potential o…What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition (2021)What can we learn from 9 year…Smart card in public transportation: Designing a analysis system at the human scale (2016)Smart card in public transpor…A mixture model clustering approach for temporal passenger pattern characterization in public transport (2015)A mixture model clustering ap…The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Spatial Processes, Models and Applications (1983)Decisions with Multiple Objectives: Preferences and Value Tradeoffs. (1994)Local Indicators of Spatial Association—LISA (1995)Bicycle facility planning using GIS and multi-criteria decision analysis (2009)Application of fuzzy TOPSIS in evaluating sustainable transportation systems (2011)Transport sustainability index: Melbourne case study (2014)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)OneBusAway (2010)Pervasive Technology and Public Transport: Opportunities Beyond Telematics (2012)Catch me if you can: Predicting mobility patterns of public transport users (2014)Assessing the Evolution of Transit User Behavior from Smart Card Data (2019)Survey of Automated Fare Collection Solutions in Public Transportation (2022)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Identification and classification of public transport activity centres in Stockholm using passenger flows data (2015)A Review of Big Data Applications in Urban Transit Systems (2020)Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Smart card data use in public transit: A literature review (2011)Understanding bike trip patterns leveraging bike sharing system open data (2016)Do metro interruptions increase the demand for public rental bicycles? Evidence from Paris (2018)Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns (2023)Urban Spatial Structure (2010)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)The universal visitation law of human mobility (2021)A heteroscedastic extreme value model of intercity travel mode choice (1995)A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)Statistical and Econometric Methods for Transportation Data Analysis (2003)Integrated railways-based policies: The Regional Metro System (RMS) project of Naples and Campania (2008)New metro system and active travel: A natural experiment (2020)Transport Impacts of the Copenhagen Metro (2020)Diversity of individual mobility patterns and emergence of aggregated scaling laws (2013)Unraveling the origin of exponential law in intra-urban human mobility (2013)Understanding urban mobility patterns with a probabilistic tensor factorization framework (2016)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2014From mobile phone data to the spatial structure of cities458 cited
  • 2002Sustainable Urban Transportation: Performance Indicators and Some Analytical Approaches269 cited
  • 2012Collective Human Mobility Pattern from Taxi Trips in Urban Area206 cited
  • 2012Avoiding the crowds86 cited
  • 2002Analysis of traffic corridor impacts from the introduction of the new Athens Metro system63 cited
  • 2013Mining temporal patterns of transport behaviour for predicting future transport usage29 cited
  • 2014Clustering the Vélib׳ dynamic Origin/Destination flows using a family of Poisson mixture models26 cited

Cited by

  • 2022Investigating the Potential of Data Science Methods for Sustainable Public Transport18 cited
  • 2021What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition17 cited
  • 2015A mixture model clustering approach for temporal passenger pattern characterization in public transport14 cited
  • 2022Spatiotemporal Evolution of Travel Pattern Using Smart Card Data13 cited

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  • 2016Smart card in public transportation: Designing a analysis system at the human scale8 cited