Using agent-based simulation model for studying fire escape process in metro stations

S. M. Lo; W. L. Wang; S. B. Liu; J. Ma

doi:10.1016/j.procs.2014.05.439

Using agent-based simulation model for studying fire escape process in metro stations

S. M. Lo, W. L. Wang, S. B. Liu, J. Ma

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

14 Citations (Scopus)

89 Downloads (CityUHK Scholars)

Abstract

The Hong Kong Metro System has been operating for more than 30 years. With the increase in population, some of the stations are crowded in most time of a day. To facilitate the design and the alteration works for a station, the crowding and passenger movement pattern, especially the escape pattern in case of fire, should be studied. This article illustrated an agent-based people movement model, and a case targeting at the people movement pattern and egress process in a metro station has been studied. The simulation results demonstrate that the model is useful for assisting building designers to evaluate different design alternatives and to support fire safety performance studies. © 2014 Published by Elsevier B.V.

Original language	English
Pages (from-to)	388-396
Journal	Procedia Computer Science
Volume	32
DOIs	https://doi.org/10.1016/j.procs.2014.05.439
Publication status	Published - 2014
Event	5th International Conference on Ambient Systems, Networks and Technologies, ANT 2014 and 4th International Conference on Sustainable Energy Information Technology, SEIT 2014 - Hasselt, Belgium Duration: 2 Jun 2014 → 5 Jun 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Research Keywords

Agent-based Model
Evacuation
People Movement

Publisher's Copyright Statement

This full text is made available under CC-BY-NC-ND 3.0. https://creativecommons.org/licenses/by-nc-nd/3.0/

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10.1016/j.procs.2014.05.439

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AU - Lo, S. M.

AU - Wang, W. L.

AU - Liu, S. B.

AU - Ma, J.

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N2 - The Hong Kong Metro System has been operating for more than 30 years. With the increase in population, some of the stations are crowded in most time of a day. To facilitate the design and the alteration works for a station, the crowding and passenger movement pattern, especially the escape pattern in case of fire, should be studied. This article illustrated an agent-based people movement model, and a case targeting at the people movement pattern and egress process in a metro station has been studied. The simulation results demonstrate that the model is useful for assisting building designers to evaluate different design alternatives and to support fire safety performance studies. © 2014 Published by Elsevier B.V.

AB - The Hong Kong Metro System has been operating for more than 30 years. With the increase in population, some of the stations are crowded in most time of a day. To facilitate the design and the alteration works for a station, the crowding and passenger movement pattern, especially the escape pattern in case of fire, should be studied. This article illustrated an agent-based people movement model, and a case targeting at the people movement pattern and egress process in a metro station has been studied. The simulation results demonstrate that the model is useful for assisting building designers to evaluate different design alternatives and to support fire safety performance studies. © 2014 Published by Elsevier B.V.

KW - Agent-based Model

KW - Evacuation

KW - People Movement

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84902688720&origin=recordpage

U2 - 10.1016/j.procs.2014.05.439

DO - 10.1016/j.procs.2014.05.439

M3 - RGC 21 - Publication in refereed journal

SN - 1877-0509

VL - 32

SP - 388

EP - 396

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 5th International Conference on Ambient Systems, Networks and Technologies, ANT 2014 and 4th International Conference on Sustainable Energy Information Technology, SEIT 2014

Y2 - 2 June 2014 through 5 June 2014

ER -

Using agent-based simulation model for studying fire escape process in metro stations

Abstract

UN SDGs

Research Keywords

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