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- W2998194275 abstract "Supplementary presentation to support poster presented at Transportation Research Board Annual Meeting, 2020.Version two contains results updated to reflect corrections to bus ridership data. Data, analysis and results pertaining to this analysis are stored on GitHub: Aston, L. Laura-k-a/BE-TU-Melbourne-MMLR, GitHub, https://github.com/Laura-k-a/BE-TU-Melbourne-MMLRPresentation details:Session:1695, Current Topics in Public TransportationSession Location: Hall A / Convention CenterSession Time: Wednesday, Jan 15, 2020 8:00AM 9:45AMPaper: 20-01322 - Exploring Variation in Built EnvironmentPredictors of Ridership by Transit ModePresentation Abstract:Many studies have identified links betweenthe built environment and transit use. However, little is known about whetherthe built environment predictors of bus, train, tram and other transit servicesare different. Studies to date typically analyze modes in aggregate, by combiningbus, train, and tram; or analyze each mode separately. Findings from thesestudies demonstrate the built environment attributes that are relevant forapportioning trips to transit. However, they do not differentiate demand for competingmodes. This study aims to investigate if built environment impacts on transitridership vary according to mode, by analyzing two types of co-located(matched) transit modes (train-bus and tram-bus) in Melbourne. Multivariatemultiple linear regression models were estimated to identify the relationshipsbetween different indicators of the built environment with patronage of eachmode.This researchindicates built environment impacts on ridership vary in type and relativeimportance according to mode. Tram and bus shared three significant predictors out of six. Access to employment and land use diversity were strong predictors of tram use but not bus, while bus depended on more sociodemographic and service factors than tram. In the train-bus sample, bus ridership was predicted by five built environment variables and train by four, but only one variable was a common predictor to both. Thesedifferences provide evidence that built environment impacts on transit cannotbe generalized for all modes. This suggests that ridership models differentiated for modes could produce more accurate forecasts." @default.
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- W2998194275 date "2020-01-08" @default.
- W2998194275 modified "2023-09-23" @default.
- W2998194275 title "Exploring Variation in Built Environment Predictors of Ridership by Transit Mode (Paper No: 20-01322)" @default.
- W2998194275 doi "https://doi.org/10.26180/5de6e60d8aab7" @default.
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