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Understanding public transit patterns with open geodemographics to facilitate public transport planning
10 references·16 citing·42 second hop
Understanding public transit patterns with open geodemographics to facilitate public transport planning (2018)Understanding public transit patterns wit…Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research (2015)Efficiency and effectiveness …A novel discrete network design problem formulation and its global optimization solution algorithm (2015)A novel discrete network desi…Topic evolution based on LDA and HMM and its application in stem cell research (2014)Topic evolution based on LDA …Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Individuals among commuters: Building personalised transport information services from fare collection systems (2012)Individuals among commuters: …Smart card data use in public transit: A literature review (2011)Smart card data use in public…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Individual Trip Destination E…Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning (2006)Potential Uses of Transit Sma…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …Identifying human mobility patterns using smart card data (2023)Identifying human mobility pa…Do similar social groups have similar mobility in a city? Social areas and mobility in Shenzhen, China (2023)Do similar social groups have…Reproduction, cultural symbolism, and online relationship: Constructing city spatial imagery on TikTok (2022)Reproduction, cultural symbol…Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach (2022)Quantifying the social impact…Is “Attending Nearby School” Near? 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for Geodemographic inference using transit smart card data (2020)You are how you travel: A mul…Variability in individual home-work activity patterns (2020)Variability in individual hom…Profiling tourists' use of public transport through smart travel card data (2020)Profiling tourists' use of pu…Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data (2020)Identifying and Segmenting Co…Exploring Travel Patterns during the Holiday Season—A Case Study of Shenzhen Metro System During the Chinese Spring Festival (2020)Exploring Travel Patterns dur…Considering context and dynamics: A classification of transit-orientated development for New York City (2020)Considering context and dynam…Measuring the efficiency of decision making units (1978)A model for technical inefficiency effects in a stochastic frontier production function for panel data (1995)Stochastic Frontier Analysis (2000)Air transport and high-speed rail competition: Environmental 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Patterns at Subway Stations: A Case in Nanjing, China (2019)Measuring transit use variability with smart-card data (2007)Measuring Regularity of Individual Travel Patterns (2017)Urban Human Mobility (2019)Walking Distances to and from Light-Rail Transit Stations (1996)Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City (2009)Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system (2012)Trip purpose inference using automated fare collection data (2013)Human mobility: Models and applications (2018)Unravelling the spatial properties of individual mobility patterns using longitudinal travel data (2022)Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation (2024)A review of human mobility: Linking data, models, and real-world applications (2025)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

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • 2015Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research163 cited
  • 2006Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning129 cited
  • 2015A novel discrete network design problem formulation and its global optimization solution algorithm125 cited
  • 2012Individuals among commuters: Building personalised transport information services from fare collection systems73 cited
  • 2014Topic evolution based on LDA and HMM and its application in stem cell research42 cited

Cited by

  • 2023Identifying human mobility patterns using smart card data61 cited
  • 2020Profiling tourists' use of public transport through smart travel card data52 cited
  • 2022Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach51 cited

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

2021
Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London
50 cited
  • 2021Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City49 cited
  • 2020Considering context and dynamics: A classification of transit-orientated development for New York City40 cited
  • 2020You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data38 cited
  • 2021A cross-boundary travel tale: Unraveling Hong Kong residents’ mobility pattern in Shenzhen by using metro smart card data28 cited
  • 2020Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data26 cited
  • 2020Exploring Travel Patterns during the Holiday Season—A Case Study of Shenzhen Metro System During the Chinese Spring Festival24 cited
  • 2021Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility24 cited
  • 2021Analyzing Influencing Factors of Transfer Passenger Flow of Urban Rail Transit: A New Approach Based on Nested Logit Model Considering Transfer Choices17 cited
  • 2022Is “Attending Nearby School” Near? An Analysis of Travel-to-School Distances of Primary Students in Beijing Using Smart Card Data14 cited
  • 2023Do similar social groups have similar mobility in a city? Social areas and mobility in Shenzhen, China13 cited
  • 2020Variability in individual home-work activity patterns12 cited
  • 2022Reproduction, cultural symbolism, and online relationship: Constructing city spatial imagery on TikTok11 cited