Studying the impact of trained staff on evacuation scenarios by agent-based simulation

Daniel Formolo, Tibor Bosse, Natalie van der Wal

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Human evacuation experiments can trigger distress, be unethical and present high costs. As a solution, computer simulations can predict the effectiveness of new emergency management procedures. This paper applies multi-agent simulation to measure the influence of staff members with diverse training levels on evacuation time. A previously developed and validated model was extended with explicit mechanisms to simulate staff members helping people to egress. The majority of parameter settings have been based on empirical data acquired in earlier studies. Therefore, simulation results are expected to be realistic. Results show that staff are more effective in complex environments, especially when trained. Not only specialised security professionals but, especially, regular workers of shopping facilities and offices play a significant role in evacuation processes when adequately trained. These results can inform policy makers and crowd managers on new emergency management procedures.

LanguageEnglish
Title of host publicationSocial Informatics - 10th International Conference, SocInfo 2018, Proceedings
EditorsSteffen Staab, Olessia Koltsova, Dmitry I. Ignatov
PublisherSpringer - Verlag
Pages85-96
Number of pages12
ISBN (Print)9783030011581
DOIs
StatePublished - 1 Jan 2018
Event10th Conference on Social Informatics, SocInfo 2018 - Saint-Petersburg, Russian Federation
Duration: 25 Sep 201828 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11186 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Conference on Social Informatics, SocInfo 2018
CountryRussian Federation
CitySaint-Petersburg
Period25/09/1828/09/18

Fingerprint

Evacuation
Agent-based Simulation
Emergency Management
Scenarios
Multi-agent Simulation
Managers
Trigger
Computer simulation
Computer Simulation
Costs
Predict
Experiments
Experiment
Simulation
Model

Keywords

  • Agent-based model
  • Crowd management
  • Evacuation
  • Staff

Cite this

Formolo, D., Bosse, T., & van der Wal, N. (2018). Studying the impact of trained staff on evacuation scenarios by agent-based simulation. In S. Staab, O. Koltsova, & D. I. Ignatov (Eds.), Social Informatics - 10th International Conference, SocInfo 2018, Proceedings (pp. 85-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11186 LNCS). Springer - Verlag. DOI: 10.1007/978-3-030-01159-8_8
Formolo, Daniel ; Bosse, Tibor ; van der Wal, Natalie. / Studying the impact of trained staff on evacuation scenarios by agent-based simulation. Social Informatics - 10th International Conference, SocInfo 2018, Proceedings. editor / Steffen Staab ; Olessia Koltsova ; Dmitry I. Ignatov. Springer - Verlag, 2018. pp. 85-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Formolo, D, Bosse, T & van der Wal, N 2018, Studying the impact of trained staff on evacuation scenarios by agent-based simulation. in S Staab, O Koltsova & DI Ignatov (eds), Social Informatics - 10th International Conference, SocInfo 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11186 LNCS, Springer - Verlag, pp. 85-96, 10th Conference on Social Informatics, SocInfo 2018, Saint-Petersburg, Russian Federation, 25/09/18. DOI: 10.1007/978-3-030-01159-8_8

Studying the impact of trained staff on evacuation scenarios by agent-based simulation. / Formolo, Daniel; Bosse, Tibor; van der Wal, Natalie.

Social Informatics - 10th International Conference, SocInfo 2018, Proceedings. ed. / Steffen Staab; Olessia Koltsova; Dmitry I. Ignatov. Springer - Verlag, 2018. p. 85-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11186 LNCS).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Formolo D, Bosse T, van der Wal N. Studying the impact of trained staff on evacuation scenarios by agent-based simulation. In Staab S, Koltsova O, Ignatov DI, editors, Social Informatics - 10th International Conference, SocInfo 2018, Proceedings. Springer - Verlag. 2018. p. 85-96. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from, DOI: 10.1007/978-3-030-01159-8_8