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A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership

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References

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2019How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds

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311 cited

2013What influences Metro station ridership in China? Insights from Nanjing260 cited

2016Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China258 cited

2015Spatial variation of the urban taxi ridership using GPS data256 cited

Cited by

2023Examining the effects of station-level factors on metro ridership using multiscale geographically weighted regression51 cited
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2024Exploring the nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-destination level24 cited
2024Causality between multi-scale built environment and rail transit ridership in Beijing and Tokyo22 cited
2022Interactive Impacts of Built Environment Factors on Metro Ridership Using GeoDetector: From the Perspective of TOD17 cited
2023Spatio-Temporal Investigation of Public Transport Demand Using Smart Card Data16 cited
2024Non-linear impact of the built environment on metro commuter flows before and after the COVID-19 outbreak: A case study in Guangzhou15 cited
2023Advancing and lagging effects of weather conditions on intercity traffic volume: A geographically weighted regression analysis in the Guangdong-Hong Kong-Macao Greater Bay Area14 cited
2024How do access and spatial dependency shape metro passenger flows14 cited
2025How do built environment characteristics influence metro-bus transfer patterns across metro station types in Shanghai?12 cited
2025Shared mobility choices in metro connectivity: shared bikes versus shared e-bikes12 cited
2025Metro ridership recoverability and the built environment: Exploring station-level non-linear impacts11 cited
2025Assessing the impact of network and station accessibility on station-level rail transit ridership during peak and off-peak hours9 cited
2024Spatially Varying Effect Mechanism of Intermodal Connection on Metro Ridership: Evidence from a Polycentric Megacity with Multilevel Ring Roads8 cited
2024How does the built environment affect intermodal transit demand across different spatiotemporal contexts?8 cited
2023Examining Built Environment Effects on Metro Ridership at Station‐to‐Station Level considering Circle Heterogeneity: A Case Study from Xi’an, China8 cited