Abstract
| Language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer/Verlag |
| Pages | 620-627 |
| Number of pages | 8 |
| ISBN (Print) | 9783319600413 |
| DOIs | |
| State | Published - 2017 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10350 LNCS |
Fingerprint
Keywords
- Crowd model
- Evacuation simulation
- Social contagion
Cite this
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An agent-based evacuation model with social contagion mechanisms and cultural factors. / van der Wal, C. Natalie; Formolo, Daniel; Bosse, Tibor.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer/Verlag, 2017. p. 620-627 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10350 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - An agent-based evacuation model with social contagion mechanisms and cultural factors
AU - van der Wal,C. Natalie
AU - Formolo,Daniel
AU - Bosse,Tibor
PY - 2017
Y1 - 2017
N2 - © 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.
AB - © 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.
KW - Crowd model
KW - Evacuation simulation
KW - Social contagion
U2 - 10.1007/978-3-319-60042-0_68
DO - 10.1007/978-3-319-60042-0_68
M3 - Chapter
SN - 9783319600413
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 620
EP - 627
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer/Verlag
ER -