@inproceedings{0ff781da570d422e93505d6fa75a1c09,
title = "Studying the impact of trained staff on evacuation scenarios by agent-based simulation",
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.",
keywords = "Agent-based model, Crowd management, Evacuation, Staff",
author = "Daniel Formolo and Tibor Bosse and {van der Wal}, Natalie",
year = "2018",
doi = "10.1007/978-3-030-01159-8_8",
language = "English",
isbn = "9783030011581",
volume = "2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer - Verlag",
pages = "85--96",
editor = "Steffen Staab and Olessia Koltsova and Ignatov, {Dmitry I.}",
booktitle = "Social Informatics - 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25 – 28, 2018 - Proceedings",
note = "10th Conference on Social Informatics, SocInfo 2018 ; Conference date: 25-09-2018 Through 28-09-2018",
}