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Understanding coupling dynamics of public transportation networks
16 references·8 citing·31 second hop
Understanding coupling dynamics of public transportation networks (2018)Understanding coupling dynamics of public…Validating travel behavior estimated from smartcard data (2014)Validating travel behavior es…Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)Examining the spatial–tempora…Anatomy and efficiency of urban multimodal mobility (2014)Anatomy and efficiency of urb…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Assessing public transport systems connectivity based on Google Transit data (2013)Assessing public transport sy…Understanding Road Usage Patterns in Urban Areas (2012)Understanding Road Usage Patt…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Detection of Activities of Pu…Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Travel Time and Transfer Anal…Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Assessing the cost of transfe…Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data (2009)Analyzing Multimodal Public T…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Individual Trip Destination E…The potential of public transport smart card data (2005)The potential of public trans…What role for smart-card data from bus systems? (2004)What role for smart-card data…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Origin and Destination Estima…Park‐and‐Ride: Alive, Well, and Expanding in the United States (1988)Park‐and‐Ride: Alive, Well, a…Understanding the interplay among urban public transport modes: Spatial variation and built environment effects (2024)Understanding the interplay a…Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use (2024)Exploring the association bet…Understanding the mobility of public transport systems based on weighted multiplex networks (2023)Understanding the mobility of…Identification of critical transportation cities in the multimodal transportation network of China (2023)Identification of critical tr…Using weighted multilayer networks to uncover scaling of public transport system (2022)Using weighted multilayer net…Sustainable optimal transport in multilayer networks (2022)Sustainable optimal transport…Sensing Multi-modal Mobility Patterns: A Case Study of Helsinki using Bluetooth Beacons and a Mobile Application (2022)Sensing Multi-modal Mobility …Statistical characteristics and transportation mode identification of individual trajectories (2020)Statistical characteristics a…Smart card data use in public transit: A literature review (2011)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 scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)A review of urban computing for mobile phone traces (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Transport modelling in the age of big data (2017)Geography: A Modern Synthesis (1972)Geography: a modern synthesis (2004)Spatiotemporal Patterns of Urban Human Mobility (2012)Behavioural data mining of transit smart card data: A data fusion approach (2014)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Pedestrian environment and route choice: evidence from New York City and Hong Kong (2012)Perceived accessibility, mobility, and connectivity of public transportation systems (2015)An integrated Bayesian approach for passenger flow assignment in metro networks (2015)Activity detection and transfer identification for public transit fare card data (2015)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Clustering Smart Card Data for Urban Mobility Analysis (2016)Detecting the dynamics of urban structure through spatial network analysis (2014)The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity (2017)
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References

  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
  • 2005The potential of public transport smart card data396 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • 2012Understanding Road Usage Patterns in Urban Areas371 cited
  • 2010Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground285 cited
  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 2009Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data180 cited
  • 2014Validating travel behavior estimated from smartcard data156 cited
  • 2010Travel Time and Transfer Analysis Using Transit Smart Card Data154 cited
  • 2012Detection of Activities of Public Transport Users by Analyzing Smart Card Data148 cited
  • 2014Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap146 cited
  • 2014Anatomy and efficiency of urban multimodal mobility128 cited
  • 1988Park‐and‐Ride: Alive, Well, and Expanding in the United States

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99 cited
  • 2004What role for smart-card data from bus systems?88 cited
  • 2013Assessing public transport systems connectivity based on Google Transit data77 cited
  • Cited by

    • 2023Identification of critical transportation cities in the multimodal transportation network of China20 cited
    • 2023Understanding the mobility of public transport systems based on weighted multiplex networks18 cited
    • 2024Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use17 cited
    • 2022Using weighted multilayer networks to uncover scaling of public transport system15 cited
    • 2022Sustainable optimal transport in multilayer networks15 cited
    • 2024Understanding the interplay among urban public transport modes: Spatial variation and built environment effects11 cited
    • 2022Sensing Multi-modal Mobility Patterns: A Case Study of Helsinki using Bluetooth Beacons and a Mobile Application7 cited
    • 2020Statistical characteristics and transportation mode identification of individual trajectories5 cited