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Inferring Social-Demographics of Travellers based on Smart Card Data
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Inferring Social-Demographics of Travellers based on Smart Card Data (2018)Inferring Social-Demographics of Travelle…Inferring patterns in the multi-week activity sequences of public transport users (2016)Inferring patterns in the mul…Classification of London's public transport users using smart card data (2013)Classification of London's pu…The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics (1981)The Travel-Activity Patterns …Inferring Socioeconomic Characteristics from Travel Patterns (2023)Inferring Socioeconomic Chara…Targeted Advertising in the Public Transit Network Using Smart Card Data (2022)Targeted Advertising in the P…Investigating mandatory and non-mandatory trip patterns based on socioeconomic characteristics and traffic analysis zone features using deep neural networks (2022)Investigating mandatory and n…Modelling socioeconomic attributes of public transit passengers (2020)Modelling socioeconomic attri…EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY (2019)EXPLORING THE RELATIONSHIP BE…Location and Space-Economy. (1958)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Foundations of Social Research. (1977)Job Search and the Occupational Segregation of Women (1991)Place‐Based versus People‐Based Geographic Information Science (2007)How GIS can help address the uncertain geographic context problem in social science research (2012)BIOGEME: a free package for the estimation of discrete choice models (2003)Smart card data use in public transit: A literature review (2011)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Public transport trip purpose inference using smart card fare data (2018)Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system (2012)Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities (2021)The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei (2008)Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era (2009)An integrated Bayesian approach for passenger flow assignment in metro networks (2015)A generative adversarial network for inferring age attributes in subway based on automatic fare collection and point of interest data (2024)Transportation Research Part A: Policy and Practice (2009)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)The Measurement of Observer Agreement for Categorical Data (1977)Relationships between Land Use, Socioeconomic Factors, and Travel Patterns in Britain (2001)Gender and Differences in Travel Life Cycles (2002)Personalizing travel behaviour change interventions using the trans-theoretical model and multimodality data (2024)Determinants of private car users' acceptance of road pricing (2000)Travel Demand Management Targeting Reduced Private Car Use: Effectiveness, Public Acceptability and Political Feasibility (2007)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data (2019)Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design (2020)Mining commuting behavior of urban rail transit network by using association rules (2020)
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References

  • 1981The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics205 cited
  • 2016Inferring patterns in the multi-week activity sequences of public transport users197 cited
  • 2013Classification of London's public transport users using smart card data40 cited

Cited by

  • 2019EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY8 cited
  • 2022Investigating mandatory and non-mandatory trip patterns based on socioeconomic characteristics and traffic analysis zone features using deep neural networks6 cited
  • 2020Modelling socioeconomic attributes of public transit passengers5 cited
  • 2022Targeted Advertising in the Public Transit Network Using Smart Card Data4 cited
  • 2023Inferring Socioeconomic Characteristics from Travel Patterns3 cited

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