Subway station dwell time prediction and user-induced delay
Document Type
Journal Article
Publication Date
2021
Subject Area
mode - subway/metro, operations - capacity, operations - scheduling
Keywords
Subway, dwell time, user-Induced delay, scheduling
Abstract
Subway station dwell time (subway SDT) is used by transit agencies in determining scheduling, capacity, emissions, and cost. Currently, most use a static subway SDT value that is not responsive to changes in demand, weather, location, and users’ actions. The current research addressed these shortcomings by estimating a regression model that quantifies the impact of these variables on subway SDT. The research also introduced the concept of user-induced SDT delay, defined as any additional time it takes a subway to depart due to a passenger intentionally or unintentionally preventing the doors from closing. User-induced delay was found to increase SDT by 3.7 seconds. Furthermore, a Probit model was estimated that quantified the factors that increase the likelihood that a subway will experience user-induced delay at a given station. These factors include; an increase in boarding/alighting time and decreases in passenger arrival rate, time before doors open, and outdoor air temperature.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Volovski, M., Ieronymaki, E.S., Cao, C., & O'Loughlin, J.P. (2021). Subway station dwell time prediction and user-induced delay. Transportmetrica A: Transport Science, Vol. 17(4), pp. 521-539.
