An agent-based evacuation model with social contagion mechanisms and cultural factors

C. Natalie van der Wal, Daniel Formolo, Tibor Bosse

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

© Springer International Publishing AG 2017. A fire incident at a transport hub can cost many lives. To save lives, effective crisis management and prevention measures need to be taken. In this project, the effect of cultural factors in managing and preventing emergencies in public transport systems is analysed. An agent–based model of an evacuating crowd was created. Socio-cultural factors that were modelled are: familiarity with environment, response time and social contagion of fear and beliefs about the situation. Simulation results show that (1) familiarity and social contagion decrease evacuation time, while increasing the number of falls; (2) crowd density and social contagion increase evacuation time and falls. All three factors show different effects on the response time. This model will be used by transport operators to estimate the effect of these socio-cultural factors and prepare for emergencies.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer/Verlag
Pages620-627
Number of pages8
ISBN (Print)9783319600413
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10350 LNCS

Keywords

  • Crowd model
  • Evacuation simulation
  • Social contagion

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