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The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China
16 references·3 citing·46 second hop
The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China (2023)The Non-Linear Influence of Built Environ…Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Nonlinear and synergistic eff…Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning (2020)Threshold and moderating effe…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…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo (2018)Applying gradient boosting de…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…Neighborhood Environment and Physical Activity Among Youth (2011)Neighborhood Environment and …Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem (2011)Built environment correlates …Travel and the Built Environment (2010)Travel and the Built Environm…School site and the potential to walk to school: The impact of street connectivity and traffic exposure in school neighborhoods (2010)School site and the potential…Neighborhood, Route, and School Environments and Children's Active Commuting (2010)Neighborhood, Route, and Scho…Factors generating boardings at Metro stations in the Seoul metropolitan area (2010)Factors generating boardings …Personal, Family, Social, and Environmental Correlates of Active Commuting to School (2006)Personal, Family, Social, and…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…Nonlinear and Threshold Effects on Station-Level Ridership: Insights from Disproportionate Weekday-to-Weekend Impacts (2024)Nonlinear and Threshold Effec…Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities (2024)Detecting anomalous commuting…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)Systematic reviews: CRD's guidance for undertaking reviews in health care (2010)Built environment, physical activity, and obesity: What have we learned from reviewing the literature? 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References

  • 2010Travel and the Built Environment5,396 cited
  • 2011Neighborhood Environment and Physical Activity Among Youth913 cited
  • 2006Personal, Family, Social, and Environmental Correlates of Active Commuting to School802 cited
  • 2018Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo446 cited
  • 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 cited
  • 2010School site and the potential to walk to school: The impact of street connectivity and traffic exposure in school neighborhoods325 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
  • 2021Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree280 cited
  • 2013What influences Metro station ridership in China? Insights from Nanjing260 cited
  • 2010Neighborhood, Route, and School Environments and Children's Active Commuting259 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
  • 2011Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem239 cited
  • 2020Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning226 cited
  • Cited by

    • 2024Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities9 cited
    • 2025A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks6 cited
    • 2024Nonlinear and Threshold Effects on Station-Level Ridership: Insights from Disproportionate Weekday-to-Weekend Impacts5 cited