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

• Published in: Journal of public transportation Vol. 26; p. 100099
• Main Authors: Cheng, Yan, Hatzichristos, Thomas, Kostellou, Anastasia, Fujiyama, Taku, Argyropoulou, Konstantina, Spyropoulou, Ioanna
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 2024; Elsevier
• Subjects: Fuzzy clustering approach; Hyperparameter selection; Ridership pattern; Transit station classification; Hyperparameter selection; Transit station classification; Fuzzy clustering approach; Ridership pattern

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...