Abstract
In this paper, we analyzed the influence of time required to begin coping behaviors of managers in chemical terrorism. In order to calculate the damage of chemical attacks in a major rail station, our network model-based pedestrian simulator was applied with hazard prediction systems of indoor gas diffusion. Our analysis was used for enlightening the managers of the rail station in a tabletop exercise held by Kitakyushu City Fire and Disaster Management Department.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Burmeister, B., Haddadi, A., Matylis, G.: Application of Multi-Agent Systems in Traffic and Transportation. Software Engineering 144(1), 51–60 (2002)
Nara, M., Kato, S., Huang, H., Zhu, S.W.: Numerical analysis of fire on disasters with ”EVE SAYFA”, a fire simulator, and its validation? LES for thermal plume. Summaries of Technical Papers of 2006 Annual Meeting of Architectural Institute of Japan, pp. 317–318 (2006) (in Japanese)
Ohba, R., Kouchi, A., Hara, T.: Hazard Projection System of Intentional Attack in Urban Area. In: 11th Annual George Mason University, Conference on Atmospheric Transport and Dispersion Modeling (2007) (poster)
Ohba, R., Yamashita, T., Ukai, O., Kato, S.: Development of Hazard Prediction System for Intentional Attacks in Urban Areas. In: Seventh International Symposium on New Technologies for Urban Safety of Mega Cities in Asia (USMCA 2008), pp. 687–696 (2008)
Pan, X.: Computational Modelling of Human and Social Behaviours for Emergency Egress Analysis. Ph.D. Dissertation, Department of Civil and Environmental Engineering, Stanford University (2006)
http://venus.iis.u-tokyo.ac.jp/english/Research/field-e/evesayfa/index.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yamashita, T., Soeda, S., Noda, I. (2009). Evacuation Planning Assist System with Network Model-Based Pedestrian Simulator. In: Yang, JJ., Yokoo, M., Ito, T., Jin, Z., Scerri, P. (eds) Principles of Practice in Multi-Agent Systems. PRIMA 2009. Lecture Notes in Computer Science(), vol 5925. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11161-7_52
Download citation
DOI: https://doi.org/10.1007/978-3-642-11161-7_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11160-0
Online ISBN: 978-3-642-11161-7
eBook Packages: Computer ScienceComputer Science (R0)