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Predicting Transit Ridership at Stop Level: Role of Service and Urban Form

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References

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Cited by

2019Analysis of Metro Station Ridership Considering Spatial Heterogeneity56 cited
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2017An efficient General Transit Feed Specification (GTFS) enabled algorithm for dynamic transit accessibility analysis53 cited
2020How does the built environment affect transit use by train, tram and bus?49 cited
2020Who’s ditching the bus?

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46 cited

2022All ridership is local: Accessibility, competition, and stop-level determinants of daily bus boardings in Portland, Oregon41 cited

2015Factors Influencing Stop-Level Transit Ridership in Arnhem–Nijmegen City Region, Netherlands36 cited

2015Who, What, When, and Where31 cited

2019Direct modeling of subway ridership at the station level: a study based on mixed geographically weighted regression30 cited

2015The demand for reliable transit service: New evidence using stop level data from the Los Angeles Metro bus system29 cited

2019Impact of childhood experiences on public transport travel behaviour29 cited

2023The node-place model, accessibility, and station level transit ridership27 cited

2018Evaluating the impact of a newly added commuter rail system on bus ridership: a grouped ordered logit model approach27 cited

2021Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models21 cited

2022A direct demand model for bus transit ridership in Bengaluru, India20 cited

2023Does dockless bike-share influence transit use? Evidence from the Sacramento region20 cited