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Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns
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Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns (2023)Spatiotemporal effects of built environme…Examining the relationship between built environment and metro ridership at station-to-station level (2020)Examining the relationship be…How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds (2019)How does the station-area bui…A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)A geographically and temporal…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…The built environment and travel behavior in urban China: A literature review (2016)The built environment and tra…Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Delineating urban functional …Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul (2015)Land use characteristics of s…Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…Application of geographically weighted regression to the direct forecasting of transit ridership at station-level (2012)Application of geographically…Transit ridership forecasting at station level: an approach based on distance-decay weighted regression (2011)Transit ridership forecasting…Transit-oriented development in a high-density city: Identifying its association with transit ridership in Seoul, Korea (2010)Transit-oriented development …Rail-based transit-oriented development: Lessons from New York City and Hong Kong (2010)Rail-based transit-oriented d…Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)Geographically and temporally…Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era (2009)Impact of the jobs-housing ba…Factors influencing light-rail station boardings in the United States (2004)Factors influencing light-rai…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…The influences of built environment on ultra-peak for urban rail transit station passenger flows based on lasso-multiscale geographically weighted regression (2025)The influences of built envir…How do built environment characteristics influence metro-bus transfer patterns across metro station types in Shanghai? (2025)How do built environment char…Exploring the Joint Influence of Built Environment Factors on Urban Rail Transit Peak-Hour Ridership Using DeepSeek (2025)Exploring the Joint Influence…Exploring spatiotemporal dynamic of metro ridership and the influence of built environment factors at the station level: A case study of Nanjing, China (2025)Exploring spatiotemporal dyna…Discovering impacts of built environment on transit ridership in the post-COVID era: policy intervention and nonlinear dynamics (2025)Discovering impacts of built …Assessing the impact of network and station accessibility on station-level rail transit ridership during peak and off-peak hours (2025)Assessing the impact of netwo…A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks (2025)A novel multimodal deep learn…Urban dynamics unveiled: A comprehensive analysis of Beijing’s subway evolution over the past decade (2024)Urban dynamics unveiled: A co…Understanding the Spatial Heterogeneity Impact of Determinants on Ridership of Urban Rail Transit Across Different Passenger Groups (2024)Understanding the Spatial Het…Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 11 (2024)Metro Stations as Catalysts f…How does the built environment affect intermodal transit demand across different spatiotemporal contexts? (2024)How does the built environmen…How do access and spatial dependency shape metro passenger flows (2024)How do access and spatial dep…Exploring the Spatiotemporal Effects of the Built Environment on the Nonlinear Impacts of Metro Ridership: Evidence from Xi’an, China (2024)Exploring the Spatiotemporal …Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments (2024)Comparative analysis of nonli…Analyzing the Impacts of Land Use and Network Features on Passenger Flow Distribution at Urban Rail Stations from a Classification Perspective (2024)Analyzing the Impacts of Land…Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking (1994)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Travel demand and the 3Ds: Density, diversity, and design (1997)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Geographically Weighted Regression (1998)Annals of the American association of geographers (2016)The effect of urbanization on environmental pollution in rapidly developing urban agglomerations (2019)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)The Geography of Urban Transportation (1988)New evidence on walking distances to transit stops: identifying redundancies and gaps using variable service areas (2013)How Accessibility Shapes Land Use (1959)Built environments and mode choice: toward a normative framework (2002)Spatial Econometrics: Methods and Models (1988)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)The role of distance in peri-urban national park use: Who visits them and how far do they travel? 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References

  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 2010Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices1,501 cited
  • 2004Factors influencing light-rail station boardings in the United States443 cited
  • 2010Transit-oriented development in a high-density city: Identifying its association with transit ridership in Seoul, Korea420 cited
  • 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 cited
  • 2011Transit ridership forecasting at station level: an approach based on distance-decay weighted regression371 cited
  • 2010Rail-based transit-oriented development: Lessons from New York City and Hong Kong369 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2018A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership333 cited
  • 2015Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul320 cited
  • 2019How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds311 cited
  • 2020Examining the relationship between built environment and metro ridership at station-to-station level280 cited
  • 2016The built environment and travel behavior in urban China: A literature review

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268 cited
  • 2016Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method268 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2009Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era263 cited
  • Cited by

    • 2024Exploring the Spatiotemporal Effects of the Built Environment on the Nonlinear Impacts of Metro Ridership: Evidence from Xi’an, China31 cited
    • 2024Urban dynamics unveiled: A comprehensive analysis of Beijing’s subway evolution over the past decade18 cited
    • 2024How do access and spatial dependency shape metro passenger flows14 cited
    • 2024Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments12 cited
    • 2025How do built environment characteristics influence metro-bus transfer patterns across metro station types in Shanghai?12 cited
    • 2024Analyzing the Impacts of Land Use and Network Features on Passenger Flow Distribution at Urban Rail Stations from a Classification Perspective9 cited
    • 2025Assessing the impact of network and station accessibility on station-level rail transit ridership during peak and off-peak hours9 cited
    • 2024How does the built environment affect intermodal transit demand across different spatiotemporal contexts?8 cited
    • 2025Exploring spatiotemporal dynamic of metro ridership and the influence of built environment factors at the station level: A case study of Nanjing, China7 cited
    • 2025Exploring the Joint Influence of Built Environment Factors on Urban Rail Transit Peak-Hour Ridership Using DeepSeek6 cited
    • 2025A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks6 cited
    • 2025The influences of built environment on ultra-peak for urban rail transit station passenger flows based on lasso-multiscale geographically weighted regression5 cited
    • 2025Discovering impacts of built environment on transit ridership in the post-COVID era: policy intervention and nonlinear dynamics5 cited
    • 2024Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 115 cited
    • 2024Understanding the Spatial Heterogeneity Impact of Determinants on Ridership of Urban Rail Transit Across Different Passenger Groups5 cited