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Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway
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Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway (2021)Exploring Passengers’ Dependency Variety …Job-worker spatial dynamics in Beijing: Insights from Smart Card Data (2018)Job-worker spatial dynamics i…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Ridership patterns at subway stations of Seoul capital area and characteristics of station influence area (2016)Ridership patterns at subway …Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia (2016)Relationships among discretio…Detecting home location and trip purposes for cardholders by mining smart card transaction data in Beijing subway (2016)Detecting home location and t…Uncovering the spatial structure of mobility networks (2015)Uncovering the spatial struct…coMobile (2015)coMobileCombining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…Understanding Passenger Patterns in Public Transit Through Smart Card and Socioeconomic Data: A case study in Rennes, France (2014)Understanding Passenger Patte…Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …Jobs-Housing Balance of Bus Commuters in Beijing (2014)Jobs-Housing Balance of Bus C…Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Discovering Urban Functional …Trip purpose inference using automated fare collection data (2013)Trip purpose inference using …Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Travel Time and Transfer Anal…The social dimension in action: A multilevel, personal networks model of social activity frequency between individuals (2008)The social dimension in actio…Smart card data use in public transit: A literature review (2011)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)Modelling Transport (2011)A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Unravelling daily human mobility motifs (2013)Understanding individual routing behaviour (2016)The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods (2019)The statistical physics of cities (2019)Map projections: A working manual (1987)Discovering regions of different functions in a city using human mobility and POIs (2012)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Regularity and Conformity (2015)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)The potential of public transport smart card data (2005)Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)An integrated Bayesian approach for passenger flow assignment in metro networks (2015)Birds of a Feather: Homophily in Social Networks (2001)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Building a Network Theory of Social Capital (2017)Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference (2017)On the subjective quality of social Interactions: Influence of neighborhood walkability, social cohesion and mobility choices (2017)Social networks, social influence and activity-travel behaviour: a review of models and empirical evidence (2017)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? 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References

  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2015Uncovering the spatial structure of mobility networks200 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • 2010Travel Time and Transfer Analysis Using Transit Smart Card Data154 cited
  • 2008The social dimension in action: A multilevel, personal networks model of social activity frequency between individuals138 cited
  • 2013Trip purpose inference using automated fare collection data122 cited
  • 2016Detecting home location and trip purposes for cardholders by mining smart card transaction data in Beijing subway84 cited
  • 2018Job-worker spatial dynamics in Beijing: Insights from Smart Card Data66 cited
  • 2016Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia48 cited
  • 2016Ridership patterns at subway stations of Seoul capital area and characteristics of station influence area42 cited
  • 2014Jobs-Housing Balance of Bus Commuters in Beijing

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37 cited
  • 2015coMobile36 cited
  • 2014Understanding Passenger Patterns in Public Transit Through Smart Card and Socioeconomic Data: A case study in Rennes, France36 cited
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