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Mining smart card data to estimate transfer passenger flow in a metro network
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Mining smart card data to estimate transfer passenger flow in a metro network (2024)Mining smart card data to estimate transf…A review of public transport transfer coordination at the tactical planning phase (2021)A review of public transport …Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices (2020)Monitoring Public Transit Rid…A Review of Big Data Applications in Urban Transit Systems (2020)A Review of Big Data Applicat…Big data in public transportation: a review of sources and methods (2019)Big data in public transporta…Revealing group travel behavior patterns with public transit smart card data (2017)Revealing group travel behavi…Public Transport Planning with Smart Card Data (2017)Public Transport Planning wit…Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data (2017)Deep‐learning architecture to…Analysing the spatial-temporal characteristics of bus travel demand using the heat map (2017)Analysing the spatial-tempora…Impacts of weather on public transport ridership: Results from mining data from different sources (2016)Impacts of weather on public …Travel behavior analysis using smart card data (2015)Travel behavior analysis usin…Short-Term Prediction of Ridership on Public Transport with Smart Card Data (2015)Short-Term Prediction of Ride…Inferring building functions from a probabilistic model using public transportation data (2014)Inferring building functions …Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea (2008)Use of Smart Card Data to Def…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …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)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Understanding commuting patterns using transit smart card data (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)The potential of public transport smart card data (2005)Measuring transit use variability with smart-card data (2007)Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Evaluation of Transfer Efficiency between Bus and Subway based on Data Envelopment Analysis using Smart Card Data (2018)Observing the rhythms of daily life: A six-week travel diary (2002)Clustering Smart Card Data for Urban Mobility Analysis (2016)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)The Death and Life of Great American Cities (1962)Measuring variability of mobility patterns from multiday smart-card data (2015)The Death and Life of Great American Cities (2015)Integrating multi-source big data to infer building functions (2017)The Geography of Transport Systems (2020)Validating activity, time, and space diversity as essential components of urban vitality (2020)Estimation of the determinants of bicycle mode share for the journey to work using census data (2007)Commuting by Bicycle: An Overview of the Literature (2009)Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review (2012)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Improving alighting stop inference accuracy in the trip chaining method using neural networks (2019)Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data (2019)Probabilistic model for destination inference and travel pattern mining from smart card data (2020)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Social media analytics: a survey of techniques, tools and platforms (2014)Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model (2022)Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis (2022)Artificial intelligence for improving public transport: a mapping study (2023)The demand for public transport: The effects of fares, quality of service, income and car ownership (2006)Mining metro commuting mobility patterns using massive smart card data (2021)Review of Transit Data Sources: Potentials, Challenges and Complementarity (2021)AI-Driven Approach for Enhancing Sustainability in Urban Public Transportation (2024)Creating bus timetables with maximal synchronization (2001)Transit network design and scheduling: A global review (2008)Planning, operation, and control of bus transport systems: A literature review (2015)A review of public transport transfer synchronisation at the real-time control phase (2022)Understanding the route choice behaviour of metro-bikeshare users (2022)Optimizing public transport transfers by integrating timetable coordination and vehicle scheduling (2023)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Research on the influence of after-sales service quality factors on customer satisfaction (2020)
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References

  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2016Impacts of weather on public transport ridership: Results from mining data from different sources220 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2019Big data in public transportation: a review of sources and methods159 cited
  • 2014Inferring building functions from a probabilistic model using public transportation data131 cited
  • 2008Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea98 cited
  • 2021A review of public transport transfer coordination at the tactical planning phase95 cited
  • 2020A Review of Big Data Applications in Urban Transit Systems79 cited
  • 2017Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data77 cited
  • 2017Analysing the spatial-temporal characteristics of bus travel demand using the heat map68 cited
  • 2017Public Transport Planning with Smart Card Data66 cited
  • 2015Short-Term Prediction of Ridership on Public Transport with Smart Card Data65 cited
  • 2020Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices61 cited

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  • 2015Travel behavior analysis using smart card data60 cited
  • 2017Revealing group travel behavior patterns with public transit smart card data50 cited
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