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Transportation Research Part C: Emerging Technologies, 2018 While the influence of weather on public transport performance and ridership has been the topic for some research, the real-time response of transit usage to variations in weather conditions is yet to be fully understood. This paper redresses this gap by
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An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership
Transportation, 2020Yuxin He, Yang Zhao, Kwok-Leung Tsui
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Modelling the causes and impacts of personal safety perceptions on public transport ridership
Transport Policy, 2012Alexa Delbosc, Graham Currie
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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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Transportation Research, Part A: Policy and Practice
Abdul Rawoof Pinjari +2 more
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Abdul Rawoof Pinjari +2 more
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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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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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The association between residential housing prices, bicycle infrastructure and ridership volumes
, 2020City officials and planners have shown increased interest in pedestrian- and bicycle-friendly designs aimed at addressing urban problems such as traffic congestion, pollution, sprawl and housing availability.
L. Conrow, S. Mooney, E. Wentz
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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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Seasonal decomposition and combination model for short-term forecasting of subway ridership
International Journal of Machine Learning and Cybernetics, 2021The subway ridership is related with the social activities, such as, commuting, festival, holiday, and so on, which makes the time series of subway ridership presents seasonal characteristic. This characteristic inspires us to decompose the time series into a seasonal component and an epoch component, and employ a combination forecasting method to ...
Jiqiang Tang +3 more
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