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Inferring weekly primary activity patterns using public transport smart card data and a household travel survey
3 references·16 citing·44 second hop
Inferring weekly primary activity patterns using public transport smart card data and a household travel survey (2016)Inferring weekly primary activity pattern…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Detection of Activities of Pu…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Activity-travel pattern inference based on multi-source big data (2024)Activity-travel pattern infer…Using smart card data to model public transport user profiles in light of the COVID-19 pandemic (2023)Using smart card data to mode…Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile (2023)Estimation of trip purposes i…Activity Schedule Modeling Using Machine Learning (2023)Activity Schedule Modeling Us…Revisiting the gravity laws of inter-city mobility in megacity regions (2022)Revisiting the gravity laws o…Metagraph-Based Life Pattern Clustering With Big Human Mobility Data (2022)Metagraph-Based Life Pattern …Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data (2022)Characterizing the activity p…Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability (2020)Recent Progress in Activity-B…Modeling and forecasting daily non-work/school activity patterns in an activity-based model using skeleton schedule constraints (2020)Modeling and forecasting dail…Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data (2020)Identifying and Segmenting Co…Who, Where, Why and When? 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Insights from large-scale city images and GPS trajectories (2024)Utilizing Multi-Source Geospatial Big Data to Examine How Environmental Factors Attract Outdoor Jogging Activities (2024)The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons (1946)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Identifying the spatio-temporal dynamics of mega city region range and hinterland: A perspective of inter-city flows (2024)Spatiotemporal dynamics and determining factors of intercity mobility: A comparison between holidays and non-holidays in China (2024)COVID-19 pandemic and road infrastructure exerted stage-dependent spatiotemporal influences on inter-city road travel in China (2025)Public transport values of time (2004)Exploring the impacts of COVID-19 on travel behavior and mode preferences (2020)Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile (2023)The impact of lockdown, fatigue, and social interaction on highway demand during the COVID-19 pandemic: The case of Santiago, Chile (2023)Assessing the influence of the COVID-19 pandemic on passengers' reliance on public transport (2024)
this work references cited by second hop

References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2012Detection of Activities of Public Transport Users by Analyzing Smart Card Data148 cited

Cited by

  • 2019Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility45 cited
  • 2022Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data44 cited
  • 2022Revisiting the gravity laws of inter-city mobility in megacity regions35 cited
  • 2018Multi-day activity-travel pattern sampling based on single-day data33 cited
  • 2018The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models28 cited
  • 2020Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data26 cited
  • 2023Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile24 cited
  • 2018Identifying primary public transit corridors using multi-source big transit data24 cited
  • 2024Activity-travel pattern inference based on multi-source big data23 cited
  • 2019Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data23 cited

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  • 2020Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability22 cited
  • 2020Modeling and forecasting daily non-work/school activity patterns in an activity-based model using skeleton schedule constraints20 cited
  • 2023Using smart card data to model public transport user profiles in light of the COVID-19 pandemic20 cited
  • 2022Metagraph-Based Life Pattern Clustering With Big Human Mobility Data18 cited
  • 2017Inferring passenger types from commuter eigentravel matrices18 cited
  • 2023Activity Schedule Modeling Using Machine Learning14 cited