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Identification of Inelastic Subway Trips Based on Weekly Station Sequence Data: An Example from the Beijing Subway
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Identification of Inelastic Subway Trips Based on Weekly Station Sequence Data: An Example from the Beijing Subway (2018)Identification of Inelastic Subway Trips …Smart Card Data Mining of Public Transport Destination: A Literature Review (2018)Smart Card Data Mining of Pub…Effect of critical incidents on public transport satisfaction and loyalty: an Ordinal Probit SEM-MIMIC approach (2018)Effect of critical incidents …Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Spatio-Temporal Analysis of P…Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Analyzing year-to-year change…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction (2016)Transit passengers’ behaviour…Inferring patterns in the multi-week activity sequences of public transport users (2016)Inferring patterns in the mul…Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…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…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels (2013)A spatial microsimulation app…Rail Transit Travel Time Reliability and Estimation of Passenger Route Choice Behavior (2012)Rail Transit Travel Time Reli…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Commuting trips within tours: how is commuting related to land use? (2010)Commuting trips within tours:…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Observing the rhythms of daily life: A six-week travel diary (2002)Clustering Smart Card Data for Urban Mobility Analysis (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Property, Privacy, and Personal Data (2004)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban Spatial Structure (2010)Friendship and mobility (2011)Rethinking big data: A review on the data quality and usage issues (2015)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data (2019)Introduction: Habitual travel choice (2003)The potential of public transport smart card data (2005)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)BIOGEME: a free package for the estimation of discrete choice models (2003)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Public transport trip purpose inference using smart card fare data (2018)A Paradigm for Developing Better Measures of Marketing Constructs (1979)Understanding Attitudes and Predicting Social Behavior (1980)Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)The role of critical incidents and involvement in transit satisfaction and loyalty (2019)Investigating the complexity of perceived service quality and perceived safety and security in building loyalty among bus passengers in Vietnam – A PLS-SEM approach (2020)Multiple Attribute Decision Making: Methods and Applications (1981)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)The impacts of COVID-19 pandemic on public transit demand in the United States (2020)Measuring Regularity of Individual Travel Patterns (2017)Urban Human Mobility (2019)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)
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References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2016Inferring patterns in the multi-week activity sequences of public transport users197 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • 2016Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction191 cited
  • 2017Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data191 cited
  • 2010Commuting trips within tours: how is commuting related to land use?189 cited
  • 2017Analyzing year-to-year changes in public transport passenger behaviour using smart card data182 cited
  • 2018Effect of critical incidents on public transport satisfaction and loyalty: an Ordinal Probit SEM-MIMIC approach148 cited
  • 2012Rail Transit Travel Time Reliability and Estimation of Passenger Route Choice Behavior127 cited

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  • 2018Smart Card Data Mining of Public Transport Destination: A Literature Review88 cited
  • 2013A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels66 cited
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