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Exploring spatiotemporal dynamic of metro ridership and the influence of built environment factors at the station level: A case study of Nanjing, China
16 references·0 citing·33 second hop
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 dynamic of metro…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…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…Geographically weighted regression and multicollinearity: dispelling the myth (2016)Geographically weighted regre…Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Mining point-of-interest data…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…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…Factors influencing light-rail station boardings in the United States (2004)Factors influencing light-rai…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…Travel demand and the 3Ds: Density, diversity, and design (1997)Travel demand and the 3Ds: De…The Geography of Urban Transportation (1988)New evidence on walking distances to transit stops: identifying redundancies and gaps using variable service areas (2013)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)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Multiple Factor Analysis (2007)Travel and the Built Environment (2010)How Accessibility Shapes Land Use (1959)Built environments and mode choice: toward a normative framework (2002)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Spatial Econometrics: Methods and Models (1988)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)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)Mixed land-uses and commuting: Evidence from the American Housing Survey (1996)A comparison of string distance metrics for name-matching tasks (2003)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Social Media data: Challenges, opportunities and limitations in urban studies (2018)Multiple Attribute Decision Making: Methods and Applications (1981)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)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)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)How the built environment affects physical activity (2002)
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References

  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 2002Geographically Weighted Regression: The Analysis of Spatially Varying Relationships3,946 cited
  • 2001Travel and the Built Environment: A Synthesis1,882 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
  • 2015Mining point-of-interest data from social networks for urban land use classification and disaggregation337 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
  • 2016Geographically weighted regression and multicollinearity: dispelling the myth299 cited

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2020
Examining the relationship between built environment and metro ridership at station-to-station level
280 cited
  • 2016The built environment and travel behavior in urban China: A literature review268 cited
  • 2013What influences Metro station ridership in China? Insights from Nanjing260 cited
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