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Extended model of pedestrian escalator behaviour based on data collected within a Chinese underground station

Extended model of pedestrian escalator behaviour based on data collected within a Chinese underground station

Kinsey, Michael J., Galea, Edwin R. and Lawrence, Peter (2009) Extended model of pedestrian escalator behaviour based on data collected within a Chinese underground station. 4th International Symposium on Human Behaviour in Fire 2009: Conference Proceedings. Interscience Communications Ltd, London, UK, pp. 173-182. ISBN 978-0-9556548-3-1

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Abstract

This paper presents data relating to pedestrian escalator behaviour collected in an underground station in Shanghai, China. While data was not collected under emergency or simulated emergency conditions, it is argued that the data collected under rush-hour conditions - where commuters are under time pressures to get to work on time - may be used to approximate emergency evacuation conditions - where commuters are also under time pressures to exit the building as quickly as possible. Data pertaining to escalator/stair choice, proportion of walkers to riders, walker speeds and side usage are presented. The collected data is used to refine the buildingEXODUS escalator model allowing the agents to select whether to use an escalator or neighbouring parallel stair based on congestion conditiions at the base of the stair/escalator and expected travel times. The new model, together with the collected data, is used to simulate a series of hypothetical evacuation scenarios to demonstrate the impact of escalators on evacuation performance.

Item Type: Book Section
Additional Information: This paper forms part of the Proceedings of the 4th International Symposium on Human Behaviour in Fire, held 13-15 July 2009, at Robinson College, Cambridge, UK.
Uncontrolled Keywords: pedestrian escalator behaviour, underground station, emergency evacuation, buildingEXODUS escalator model
Subjects: T Technology > TH Building construction
T Technology > TA Engineering (General). Civil engineering (General)
Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
Related URLs:
Last Modified: 18 Jul 2018 17:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1294

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