Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747701
Title: Crowd management on metro station platforms
Author: Seriani, Sebastian
ISNI:       0000 0004 7232 2439
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2018
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Abstract:
To reduce problems of interaction at the platform train interface (PTI) crowd management measures (CMM) have been implemented in the London Underground (LU). As an example, platform edge doors (PEDs) are used as door positions indicators at the PTI. However, there is little research focused on the effect of these types of measures on the behaviour and interaction of passengers boarding and alighting. In addition, there is a lack of methods and frameworks to represent and evaluate their behaviour and interaction. A simple framework is proposed to help designers and planners to identify and benchmark the degree of interaction when CMM are used such as PEDs. This framework included a new method, in which the platform conflict area (PCA) is divided into layers of 50 cm each and 40 cm square cells. The framework is supported by observation at two existing stations (with and without PEDs) and laboratory experiments under controlled conditions at UCL’s Pedestrian Accessibility Movement Environmental Laboratory (PAMELA). A tracking tool was used to obtain the position of each passenger on the PCA. The results show that PEDs on their own have no overall negative impact on the boarding and alighting time (BAT) and that in most situations they encourage passengers to wait beside the doors. Measuring the density by layers was more representative of the interaction than average values of density. The space of alighting passengers can be represented as an asymmetrical ellipse and their speed not always increased when they have more space. In addition, if R (boarding/alighting) increases then the formation of flow lines decreases at the PTI. The new framework is able to describe well the phenomena of high interactions and can be used to evaluate suitable CMM in railway infrastructure. Possible applications of the framework, as well as further investigation, were discussed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.747701  DOI: Not available
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