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Revealing the Influence of the Fine-Scale Built Environment on Urban Rail Ridership with a Semiparametric GWPR Model
16 references·0 citing·34 second hop
Revealing the Influence of the Fine-Scale Built Environment on Urban Rail Ridership with a Semiparametric GWPR Model (2023)Revealing the Influence of the Fine-Scale…Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model (2021)Examining the spatial-tempora…The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou (2020)The varying patterns of rail …Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)Spatially varying impacts of …Understanding the impact of built environment on metro ridership using open source in Shanghai (2019)Understanding the impact of b…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 job-housing relationship and commuting pattern in Chinese cities: Past, present and future (2016)Understanding job-housing rel…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…Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership (2014)Exploring the impacts of land…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…Rail-based transit-oriented development: Lessons from New York City and Hong Kong (2010)Rail-based transit-oriented d…Factors generating boardings at Metro stations in the Seoul metropolitan area (2010)Factors generating boardings …Geographically weighted Poisson regression for disease association mapping (2005)Geographically weighted Poiss…Factors influencing light-rail station boardings in the United States (2004)Factors influencing light-rai…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)Examining the relationship between built environment and metro ridership at station-to-station level (2020)The Geography of Urban Transportation (1988)Transit ridership forecasting at station level: an approach based on distance-decay weighted regression (2011)New evidence on walking distances to transit stops: identifying redundancies and gaps using variable service areas (2013)Activity-based disaggregate travel demand model system with activity schedules (2001)The New transit town: best practices in transit-oriented development (2004)Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning (2020)Spatial Econometrics: Methods and Models (1988)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)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? (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)Travel and the Built Environment: A Synthesis (2001)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)Lisrel 8: Structural Equation Modeling With the Simplis Command Language (1993)Principles and Practice of Structural Equation Modeling (1998)Principles and Practice of Structural Equation Modeling (2012)Ecological Correlations and the Behavior of Individuals (1950)Optimal discretization for geographical detectors-based risk assessment (2013)The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models (2014)GWmodel : An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2015)Travel and the Built Environment (2010)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Transit-Oriented Development in the United States: Experiences, Challenges, and Prospects (2004)Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo (2018)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices (2018)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)
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References

  • 2005Geographically weighted Poisson regression for disease association mapping565 cited
  • 2004Factors influencing light-rail station boardings in the United States443 cited
  • 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 cited
  • 2010Rail-based transit-oriented development: Lessons from New York City and Hong Kong369 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
  • 2016The built environment and travel behavior in urban China: A literature review268 cited
  • 2013What influences Metro station ridership in China? Insights from Nanjing260 cited
  • 2010Factors generating boardings at Metro stations in the Seoul metropolitan area248 cited
  • 2020Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China225 cited
  • 2019Understanding the impact of built environment on metro ridership using open source in Shanghai214 cited
  • 2014Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership

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182 cited
  • 2020The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou157 cited
  • 2016Understanding job-housing relationship and commuting pattern in Chinese cities: Past, present and future127 cited
  • 2021Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model80 cited
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