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Subway Station Accessibility and Its Impacts on the Spatial and Temporal Variations of Its Outbound Ridership
16 references·5 citing·28 second hop
Subway Station Accessibility and Its Impacts on the Spatial and Temporal Variations of Its Outbound Ridership (2022)Subway Station Accessibility and Its Impa…Examining the relationship between built environment and metro ridership at station-to-station level (2020)Examining the relationship be…A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)A geographically and temporal…The built environment and travel behavior in urban China: A literature review (2016)The built environment and tra…Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul (2015)Land use characteristics of s…What influences Metro station ridership in China? Insights from Nanjing (2013)What influences Metro station…Half-Mile Circle (2012)Half-Mile CircleApplication 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…Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas (2008)Nature and/or nurture? Analyz…Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth (2006)Alternative Approaches to Mod…Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Geographically Weighted Regre…Travel and the Built Environment: A Synthesis (2001)Travel and the Built Environm…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…Mapping mobility gaps: geospatial analysis of accessibility and equity from socioeconomic perspectives (2025)Mapping mobility gaps: geospa…Analyzing High-Speed Rail’s Transformative Impact on Public Transport in Thailand Using Machine Learning (2025)Analyzing High-Speed Rail’s T…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…Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway (2024)Impact Evaluation of COVID-19…Evaluation and determinants of metro users' regularity: Insights from transit one-card data (2024)Evaluation and determinants o…A review of British evidence on time and service quality valuations (2001)Modeling the commute mode share of transit using continuous accessibility to jobs (2015)Who left riding transit? Examining socioeconomic disparities in the impact of COVID-19 on ridership (2020)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)How Accessibility Shapes Land Use (1959)Travel demand and the 3Ds: Density, diversity, and design (1997)Built environments and mode choice: toward a normative framework (2002)Spatial Econometrics: Methods and Models (1988)The role of distance in peri-urban national park use: Who visits them and how far do they travel? (2015)Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China (2016)Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations (2018)Correlation or causality between the built environment and travel behavior? Evidence from Northern California (2005)Advance transit oriented development typology: case study in Brisbane, Australia (2013)How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds (2019)Mixed land-uses and commuting: Evidence from the American Housing Survey (1996)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)How the built environment affects physical activity (2002)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Transit-Oriented Development in the United States: Experiences, Challenges, and Prospects (2004)Travel and the Built Environment (2010)Performance indicators for public transit connectivity in multi-modal transportation networks (2012)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)A measure of spatial stratified heterogeneity (2016)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)
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References

  • 2002Geographically Weighted Regression: The Analysis of Spatially Varying Relationships3,946 cited
  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 2001Travel and the Built Environment: A Synthesis1,882 cited
  • 2010Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices1,501 cited
  • 2010Transit-oriented development in a high-density city: Identifying its association with transit ridership in Seoul, Korea420 cited
  • 2008Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas401 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
  • 2012Half-Mile Circle337 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
  • 2020Examining the relationship between built environment and metro ridership at station-to-station level280 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2016The built environment and travel behavior in urban China: A literature review268 cited
  • 2006Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth263 cited
  • 2013What influences Metro station ridership in China? Insights from Nanjing260 cited
  • Cited by

    • 2024Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway10 cited
    • 2024Evaluation and determinants of metro users' regularity: Insights from transit one-card data10 cited
    • 2025Mapping mobility gaps: geospatial analysis of accessibility and equity from socioeconomic perspectives7 cited
    • 2025Analyzing High-Speed Rail’s Transformative Impact on Public Transport in Thailand Using Machine Learning7 cited
    • 2025A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks6 cited