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Abstract [en]
Crowding is one of the major issues of public transport systems and has many negative effects for both users and operators. Passengers can be highly unevenly distributed between individual cars of a train even when the total passenger load exceeds the practical capacity.
Transit assignment models (TAM) are widely used for describing and evaluating crowding in the vehicle. However, these models usually do not capture how passengers are distributed across the vehicle. To this end, this study introduced to an agent-based simulation model the capability to analyze the effective capacity utilization of the train, by considering passengers' distribution among individual train cars.
The developed model is validated and applied to a case study for the Stockholm metro network, evaluating three scenarios. The findings suggest that an increase in peak hour demand leads to a more even passenger distribution among individual cars upon train departure from the most crowded stops, where passengers' choices are less flexible. The closure of the most popular entrance point at Danderyds sjukhus stop, where passenger distribution is highly skewed, is found to lead to lower crowding unevenness at the specific stop but also upon departure from the downstream stops.
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-261657 (URN)
Merknad
QC 20191011
2019-10-092019-10-092022-06-26bibliografisk kontrollert