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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

8 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)388-396
Journal / PublicationProcedia Computer Science
Volume32
Publication statusPublished - 2014

Conference

Title5th International Conference on Ambient Systems, Networks and Technologies, ANT 2014 and 4th International Conference on Sustainable Energy Information Technology, SEIT 2014
PlaceBelgium
CityHasselt
Period2 - 5 June 2014

Link(s)

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.

Research Area(s)

  • Agent-based Model, Evacuation, People Movement

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