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Estimating the activity types of transit travelers using smart card transaction data: a case study of Singapore
16 references·8 citing·32 second hop
Estimating the activity types of transit travelers using smart card transaction data: a case study of Singapore (2018)Estimating the activity types of transit …Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Deriving Personal Trip Data f…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…Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Automated Inference of Linked…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …Smart card data use in public transit: A literature review (2011)Smart card data use in public…Estimation method for railway passengers’ train choice behavior with smart card transaction data (2010)Estimation method for railway…Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data (2009)Analyzing Multimodal Public T…Enriching Archived Smart Card Transaction Data for Transit Demand Modeling (2008)Enriching Archived Smart Card…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …Operationalizing Neighborhood Accessibility for Land Use-Travel Behavior Research and Regional Modeling (2003)Operationalizing Neighborhood…A learning-based transportation oriented simulation system (2003)A learning-based transportati…Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Analysis: The…Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Discrete Choice Analysis: The…Spatial Autocorrelation (1974)Spatial AutocorrelationThe Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space (2025)The Fundamental Issues and De…Collaborative generative adversarial networks for fusing household travel survey and smart card data to generate heterogeneous activity schedules in urban digital twins (2025)Collaborative generative adve…Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China (2024)Understanding factors associa…Activity-travel pattern inference based on multi-source big data (2024)Activity-travel pattern infer…Impact Analysis of Traffic Factors on Urban Bus Bunching (2023)Impact Analysis of Traffic Fa…Spatio-temporally constrained origin–destination inferring using public transit fare card data (2022)Spatio-temporally constrained…Inference of activity patterns from urban sensing data using conditional random fields (2021)Inference of activity pattern…Impact of Landuse Morphology on Urban Transportation (2021)Impact of Landuse Morphology …A Pattern Language (1977)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Travel demand and the 3Ds: Density, diversity, and design (1997)The Compact City Fallacy (2005)The Impact of Transit-oriented Development on Housing Prices in San Diego, CA (2010)The Walkability Premium in Commercial Real Estate Investments (2011)Observing the rhythms of daily life: A six-week travel diary (2002)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Property, Privacy, and Personal Data (2004)Architecture of Cognition (1983)A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)How fixed is fixed? Gendered rigidity of space–time constraints and geographies of everyday activities (2008)Activity-based models of travel demand: promises, progress and prospects (2013)Introduction: Habitual travel choice (2003)The potential of public transport smart card data (2005)Passenger Segmentation Using Smart Card Data (2014)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)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)How the built environment affects physical activity (2002)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)Detecting the dynamics of urban structure through spatial network analysis (2014)Clustering Smart Card Data for Urban Mobility Analysis (2016)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)Under the hood Issues in the specification and interpretation of spatial regression models (2002)Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models (2004)Comparing implementations of global and local indicators of spatial association (2018)
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References

  • 1987Discrete Choice Analysis: Theory and Application to Travel Demand.5,542 cited
  • 1974Spatial Autocorrelation1,232 cited
  • 2011Smart card data use in public transit: A literature review930 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2003A learning-based transportation oriented simulation system583 cited
  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2003Operationalizing Neighborhood Accessibility for Land Use-Travel Behavior Research and Regional Modeling248 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 1987Discrete Choice Analysis: Theory and Application to Travel Demand193 cited
  • 2009Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data180 cited
  • 2013Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data163 cited
  • 2014Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies162 cited

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  • 2008Enriching Archived Smart Card Transaction Data for Transit Demand Modeling150 cited
  • 2010Estimation method for railway passengers’ train choice behavior with smart card transaction data149 cited
  • Cited by

    • 2021Impact of Landuse Morphology on Urban Transportation24 cited
    • 2024Activity-travel pattern inference based on multi-source big data23 cited
    • 2022Spatio-temporally constrained origin–destination inferring using public transit fare card data15 cited
    • 2024Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China14 cited
    • 2025The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space12 cited
    • 2025Collaborative generative adversarial networks for fusing household travel survey and smart card data to generate heterogeneous activity schedules in urban digital twins11 cited
    • 2021Inference of activity patterns from urban sensing data using conditional random fields7 cited
    • 2023Impact Analysis of Traffic Factors on Urban Bus Bunching6 cited