Understanding the intra-day and intra-week ridership patterns of urban rail transit stations in London using a fuzzy clustering approach

Understanding the intra-day and intra-week ridership patterns of urban rail transit stations in London using a fuzzy clustering approach

The needs for transit station classification are ever-growing as the planning process, be it at a strategic or operational level, becomes increasingly automated, data-oriented, and short-cycled. Whilst most existing models have used binary methods, this study applied a fuzzy clustering approach and...

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Bibliographic Details
Main Authors: Yan Cheng, Thomas Hatzichristos, Anastasia Kostellou, Taku Fujiyama, Konstantina Argyropoulou, Ioanna Spyropoulou
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of Public Transportation
Subjects:
Transit station classification
Fuzzy clustering approach
Hyperparameter selection
Ridership pattern
Online Access:http://www.sciencedirect.com/science/article/pii/S1077291X24000195

Internet

http://www.sciencedirect.com/science/article/pii/S1077291X24000195

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