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The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models
16 references·10 citing·41 second hop
The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models (2018)The Influence of the Built Environment on…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)A geographically and temporal…Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods (2015)A review on the effects of ph…Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …What influences Metro station ridership in China? Insights from Nanjing (2013)What influences Metro station…Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research (2012)Independent Mobility and Mode…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…Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)Geographically and temporally…Factors generating boardings at Metro stations in the Seoul metropolitan area (2010)Factors generating boardings …Household interactions and children’s school travel: the effect of parental work patterns on walking and biking to school (2008)Household interactions and ch…Children’s mode choice for the school trip: the role of distance and school location in walking to school (2007)Children’s mode choice for th…Geographically weighted Poisson regression for disease association mapping (2005)Geographically weighted Poiss…Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2004)Geographically Weighted Regre…Factors influencing light-rail station boardings in the United States (2004)Factors influencing light-rai…Spatiotemporal heterogeneity exploration in the effects of TOD structural characteristics on metro ridership: Evidence from Shanghai (2025)Spatiotemporal heterogeneity …Assessing the impact of urban place irreplaceability on intercity travel mode choice (2025)Assessing the impact of urban…Evaluation and determinants of metro users' regularity: Insights from transit one-card data (2024)Evaluation and determinants o…Local modeling as a solution to the lack of stop-level ridership data (2023)Local modeling as a solution …Transit Ridership Modeling at the Bus Stop Level: Comparison of Approaches Focusing on Count and Spatially Dependent Data (2022)Transit Ridership Modeling at…Interactive Impacts of Built Environment Factors on Metro Ridership Using GeoDetector: From the Perspective of TOD (2022)Interactive Impacts of Built …Influence of Built Environment on Subway Trip Origin and Destination: Insights Based on Mobile Positioning Data (2022)Influence of Built Environmen…Analyzing travel destinations distribution using large-scaled GPS trajectories: A spatio-temporal Log-Gaussian Cox process (2022)Analyzing travel destinations…Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students (2021)Exploring the Built Environme…Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data (2019)Research on classification an…Travel demand and the 3Ds: Density, diversity, and design (1997)Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation (2003)Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)Cycling or walking? Determinants of mode choice in the Netherlands (2018)Neighbourhood walkability: A review and bibliometric analysis (2019)Pathways from built environment to health: A conceptual framework linking behavior and exposure-based impacts (2019)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)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)Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul (2015)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? (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)One False Move...: A Study of Children's Independent Mobility (1991)Discrete Choice Methods with Simulation (2003)Personal, Family, Social, and Environmental Correlates of Active Commuting to School (2006)Why Parents Drive Children to School: Implications for Safe Routes to School Programs (2009)U.S. School Travel, 2009 (2011)The theory of planned behavior (1991)Health Behavior and Health Education: Theory, Research, and Practice (1992)Scoping studies: towards a methodological framework (2005)The decline in active school transportation (AST): A systematic review of the factors related to AST and changes in school transport over time in North America (2017)Transport and child well-being: An integrative review (2017)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)A Toolkit for Measuring Sprawl (2008)Advances in spatial epidemiology and geographic information systems (2016)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)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)Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning (2020)
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References

  • 2010Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices1,501 cited
  • 2004Geographically Weighted Regression: The Analysis of Spatially Varying Relationships1,067 cited
  • 2005Geographically weighted Poisson regression for disease association mapping565 cited
  • 2004Factors influencing light-rail station boardings in the United States443 cited
  • 2007Children’s mode choice for the school trip: the role of distance and school location in walking to school422 cited
  • 2015A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods407 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
  • 2018A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership333 cited
  • 2012Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research282 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2013What influences Metro station ridership in China? Insights from Nanjing260 cited
  • 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data

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251 cited
  • 2010Factors generating boardings at Metro stations in the Seoul metropolitan area248 cited
  • 2008Household interactions and children’s school travel: the effect of parental work patterns on walking and biking to school225 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • Cited by

    • 2019Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data23 cited
    • 2022Transit Ridership Modeling at the Bus Stop Level: Comparison of Approaches Focusing on Count and Spatially Dependent Data19 cited
    • 2022Interactive Impacts of Built Environment Factors on Metro Ridership Using GeoDetector: From the Perspective of TOD17 cited
    • 2021Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students13 cited
    • 2022Analyzing travel destinations distribution using large-scaled GPS trajectories: A spatio-temporal Log-Gaussian Cox process13 cited
    • 2022Influence of Built Environment on Subway Trip Origin and Destination: Insights Based on Mobile Positioning Data13 cited
    • 2024Evaluation and determinants of metro users' regularity: Insights from transit one-card data10 cited
    • 2023Local modeling as a solution to the lack of stop-level ridership data10 cited
    • 2025Spatiotemporal heterogeneity exploration in the effects of TOD structural characteristics on metro ridership: Evidence from Shanghai8 cited
    • 2025Assessing the impact of urban place irreplaceability on intercity travel mode choice5 cited