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Modal share changes due to COVID-19: The case of Budapest. [PDF]
Bucsky P.
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Transactions in GIS, 2022
AbstractUnderstanding the spatial patterns of transit ridership and their ascribable factors is critical for urban and transportation planning. Existing studies predominantly examine a single type of transit ridership but neglect important cross‐ridership correlation.
Hui Luan, Shanqi Zhang
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AbstractUnderstanding the spatial patterns of transit ridership and their ascribable factors is critical for urban and transportation planning. Existing studies predominantly examine a single type of transit ridership but neglect important cross‐ridership correlation.
Hui Luan, Shanqi Zhang
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A transit ridership‐revenue model
Transportation Planning and Technology, 1984The paper outlines the theoretical underpinnings of an urban mass transit revenue and ridership model designed to provide medium term forecasts of future trends in situations of data sparsity. The specific example laid out in the paper relates to the Greater Vancouver Regional District but the framework is of general applicability.
F. P. D. Navin, K. J. Button
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Gaussian process-based predictive modeling for bus ridership
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, 2013The dynamics of a city are characterized, among others, by the traveling patterns of its dwellers. Accurate knowledge of human mobility patterns would have applications, e.g., in urban design, in the optimization of public transportation operating costs, and in the improvement of public transportation services.
Sourav Bhattacharya +5 more
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How to Increase Rail Ridership in Maryland: Direct Ridership Models for Policy Guidance
Journal of Urban Planning and Development, 2016AbstractThe State of Maryland aims to double its transit ridership by the end of 2020. The Maryland Statewide Transportation Model (MSTM) has been used to analyze different policy options at a system-wide level. Direct ridership models (DRMs) estimate ridership as a function of station environment and transit service features rather than using mode ...
Chao Liu +3 more
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Bicycle Ridership Using Crowdsourced Data: Ordered Probit Model Approach
Journal of Transportation Engineering, Part A: Systems, 2020AbstractCycling is a healthier and greener travel mode that city planners and policymakers have encouraged for short-distance trips.
Zijing Lin, Wei “David” Fan
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Transit Ridership Model Based on Geographically Weighted Regression
Transportation Research Record: Journal of the Transportation Research Board, 2006This paper describes the development of a geographically weighted regression (GWR) model to explore the spatial variability in the strength of the relationship between public transit use for home-based work (HBW) trip purposes and an array of potential transit use predictors.
Chow, Lee-Fang +4 more
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