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

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


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



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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