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• W2783281344 abstract "This study aims to improve the understanding of the underlying mechanism of passenger boarding and alighting processes, as well as its potential influence on train dwell time. The study examines if the interference between different passenger movements (boarding, alighting, and standing) affects the length of passenger service time. This study also postulates that the level of interference can be related to the position of the train door in terms of its proximity to platform entries. We collected passenger service time data from one of busiest metro stations in Seoul, Korea, and analysed the empirical data to identify the spatial and temporal variation in the passenger service rate (number of passengers serviced at each door per unit time). This study introduces the Dynamic Time Warping technique for similarity measures and clustering of the time series data. The analysis revealed four distinct shapes of the temporal service rate curve. Each curve represents a unique temporal service pattern that is attributed to varying levels of interference and passenger demand. A new passenger service time model is presented to include the cluster variable in a categorical form. The significance of the cluster variable is demonstrated by comparing the prediction capability of the model with and without the variable." @default.
• W2783281344 created "2018-01-26" @default.
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• W2783281344 date "2017-01-01" @default.
• W2783281344 modified "2023-09-23" @default.
• W2783281344 title "Impact of the spatial and temporal variation in passenger service rate on train dwell time" @default.
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• W2783281344 hasPublicationYear "2017" @default.
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