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Mining temporal patterns of transport behaviour for predicting future transport usage
4 references·12 citing·43 second hop
Mining temporal patterns of transport behaviour for predicting future transport usage (2013)Mining temporal patterns of transport beh…Pervasive Technology and Public Transport: Opportunities Beyond Telematics (2012)Pervasive Technology and Publ…Individuals among commuters: Building personalised transport information services from fare collection systems (2012)Individuals among commuters: …Avoiding the crowds (2012)Avoiding the crowdsOneBusAway (2010)OneBusAwayTransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data (2024)TransitCrowd: Estimating Subw…Survey of Automated Fare Collection Solutions in Public Transportation (2022)Survey of Automated Fare Coll…Temporal Point Pattern Analysis of Human Activities Using GIS Methods: A Case Study of Library Visiting Activities in Chengdu City, China (2019)Temporal Point Pattern Analys…Assessing the Evolution of Transit User Behavior from Smart Card Data (2019)Assessing the Evolution of Tr…Understanding temporal pattern of human activities using Temporal Areas of Interest (2018)Understanding temporal patter…Designing for way-finding as practices – A study of elderly people's mobility (2018)Designing for way-finding as …Smart card in public transportation: Designing a analysis system at the human scale (2016)Smart card in public transpor…Regularity of Public Transport Usage: A Case Study of Bus Rides in Lisbon, Portugal (2016)Regularity of Public Transpor…Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization (2016)Mining Ticketing Logs for Usa…Predictability of Public Transport Usage: A Study of Bus Rides in Lisbon, Portugal (2015)Predictability of Public Tran…Catch me if you can: Predicting mobility patterns of public transport users (2014)Catch me if you can: Predicti…Informing the design of future transport information services with travel behaviour data (2013)Informing the design of futur…Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties (2019)Network–wide prediction of public transportation ridership using spatio–temporal link–level information (2019)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Modeling Transport Accessibility with Open Data: Case Study of St. Petersburg (2016)A novel modelling approach of integrated taxi and transit mode and route choice using city-scale emerging mobility data (2023)DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination (2024)Socio-technical environments supporting people with cognitive disabilities using public transportation (2005)Dynamic at-stop real-time information displays for public transport: effects on customers (2007)Measuring the impact of opening the London shared bicycle scheme to casual users (2012)An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida (2014)The impact of real-time information on bus ridership in New York City (2015)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)Reality mining: sensing complex social systems (2005)The scaling laws of human travel (2006)Studying commuting behaviours using collaborative visual analytics (2013)Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data (2015)Understanding public transit patterns with open geodemographics to facilitate public transport planning (2018)Behavioral intentions of public transit passengers—The roles of service quality, perceived value, satisfaction and involvement (2010)Where Is My Bus? 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References

  • 2010OneBusAway204 cited
  • 2012Avoiding the crowds86 cited
  • 2012Pervasive Technology and Public Transport: Opportunities Beyond Telematics78 cited
  • 2012Individuals among commuters: Building personalised transport information services from fare collection systems73 cited

Cited by

  • 2022Survey of Automated Fare Collection Solutions in Public Transportation29 cited
  • 2019Assessing the Evolution of Transit User Behavior from Smart Card Data26 cited
  • 2016Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization23 cited
  • 2015Predictability of Public Transport Usage: A Study of Bus Rides in Lisbon, Portugal20 cited
  • 2014Catch me if you can: Predicting mobility patterns of public transport users20 cited
  • 2018Understanding temporal pattern of human activities using Temporal Areas of Interest19 cited
  • 2018Designing for way-finding as practices – A study of elderly people's mobility16 cited
  • 2016Regularity of Public Transport Usage: A Case Study of Bus Rides in Lisbon, Portugal13 cited
  • 2019Temporal Point Pattern Analysis of Human Activities Using GIS Methods: A Case Study of Library Visiting Activities in Chengdu City, China9 cited
  • 2024TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data

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8 cited
  • 2016Smart card in public transportation: Designing a analysis system at the human scale8 cited
  • 2013Informing the design of future transport information services with travel behaviour data6 cited