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Converting Urban Trips to Multi-Dimensional Signals to Improve Trip Purpose Inference
16 references·0 citing·46 second hop
Converting Urban Trips to Multi-Dimensional Signals to Improve Trip Purpose Inference (2024)Converting Urban Trips to Multi-Dimension…Inferring trip purpose by clustering sequences of smart card records (2021)Inferring trip purpose by clu…ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs (2021)ActivityNET: Neural networks …Interpretable machine-learning models for estimating trip purpose in smart card data (2020)Interpretable machine-learnin…Fare evasion in public transport systems: a review of the literature (2020)Fare evasion in public transp…Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility (2019)Who, Where, Why and When? Usi…Public transport trip purpose inference using smart card fare data (2018)Public transport trip purpose…Detecting home location and trip purposes for cardholders by mining smart card transaction data in Beijing subway (2016)Detecting home location and t…Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Trip purpose inference using automated fare collection data (2013)Trip purpose inference using …Residential location and daily travel distances: the influence of trip purpose (2013)Residential location and dail…Walking Distance by Trip Purpose and Population Subgroups (2012)Walking Distance by Trip Purp…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…Measuring and Controlling Subway Fare Evasion (2011)Measuring and Controlling Sub…Influence of varied parking tariffs on parking occupancy levels by trip purpose (2006)Influence of varied parking t…Prototype Model of Household Activity-Travel Scheduling (2003)Prototype Model of Household …Observing the rhythms of daily life: A six-week travel diary (2002)Mining smart card data for transit riders’ travel patterns (2013)Clustering Smart Card Data for Urban Mobility Analysis (2016)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Relative Influences of Individual, Social Environmental, and Physical Environmental Correlates of Walking (2003)Perceived and objective environmental measures and physical activity among urban adults (2005)Built Environment Correlates of Walking (2008)Active-transport walking behavior: destinations, durations, distances (2012)Active travel, public transportation use, and daily transport among older adults: The association of built environment (2018)Effect of COVID-19 response policies on walking behavior in US cities (2021)Property, Privacy, and Personal Data (2004)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Mail and Telephone Surveys: The Total Design Method. (1979)Mail and Telephone Surveys: The Total Design Method. (1982)Economic Valuation with Stated Preference Techniques: a Manual (2002)Managing Urban Traffic Congestion (2007)Temporal variance of revealed preference on-street parking price elasticity (2009)Integrating parking behaviour in activity-based travel demand modelling: Investigation of the relationship between parking type choice and activity scheduling process (2011)Activity spaces: measures of social exclusion? (2003)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)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)The potential of public transport smart card data (2005)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics (2021)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)ALBATROSS : a learning based transportation oriented simulation system (2000)Generating complete all-day activity plans with genetic algorithms (2005)ILUTE: An Operational Prototype of a Comprehensive Microsimulation Model of Urban Systems (2005)Activity-based models of travel demand: promises, progress and prospects (2013)Transit capacity and quality of service manual (2003)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Data-driven activity scheduler for agent-based mobility models (2018)Big data in public transportation: a review of sources and methods (2019)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Public transport fare elasticities from smartcard data: Evidence from a natural experiment (2021)Review of Transit Data Sources: Potentials, Challenges and Complementarity (2021)Robustness and disturbances in public transport (2022)Job-worker spatial dynamics in Beijing: Insights from Smart Card Data (2018)Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space (2021)
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References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2012Walking Distance by Trip Purpose and Population Subgroups518 cited
  • 2003Prototype Model of Household Activity-Travel Scheduling383 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2018Public transport trip purpose inference using smart card fare data160 cited
  • 2012Detection of Activities of Public Transport Users by Analyzing Smart Card Data148 cited
  • 2013Trip purpose inference using automated fare collection data122 cited
  • 2006Influence of varied parking tariffs on parking occupancy levels by trip purpose110 cited
  • 2016Detecting home location and trip purposes for cardholders by mining smart card transaction data in Beijing subway84 cited
  • 2020Fare evasion in public transport systems: a review of the literature84 cited
  • 2013Residential location and daily travel distances: the influence of trip purpose83 cited
  • 2011Measuring and Controlling Subway Fare Evasion72 cited
  • 2019Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility45 cited
  • 2021Inferring trip purpose by clustering sequences of smart card records42 cited
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ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs
40 cited
  • 2020Interpretable machine-learning models for estimating trip purpose in smart card data23 cited
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