Abstract
PLAN C, an Agent-Based Model platform for urban disaster simulation and emergency planning, features a variety of reality-based agents interacting on a realistic city map and can simulate the complex dynamics of emergency responses in different urban catastrophe scenarios. Work reported here focuses on the incorporation of specific subpopulations of person agents, reflecting the existence of individuals with specific defining characteristics and needs, and their interactions with the available resources. Performance of these subpopulations are compared in both point-source attack and distributed disaster scenarios for disasters of different magnitudes. Specific “recovery points” can be derived both for total- and sub-populations, which estimate the duration of a response system’s/city’s vulnerability. The effect of varying topologies of available resources, i.e. different hospital maps, provides particular insight into the dynamics that can emerge in this complex system. PLAN C produces interesting emergent behavior which is often consistent with the literature on emergency medicine of previous events.
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References
Athale, C.A., Deisboeck, T.S.: The effects of egf-receptor density on multiscale tumor growth patterns. Journal of Theoretical Biology 238(4), 771–779 (2006)
Barrett, C.L., Eubank, S.G., Smith, J.P.: If smallpox strikes portland.. Scientific American 292(3), 42–49 (2005)
de Gutierrez Ceballos, J.P., Turegano Fuentes, F., Perez Diaz, D., Sanz Sanchez, M., Martin Llorente, C., Guerrero Sanz, J.E.: Casualties treated at the closest hospital in the madrid, march 11, terrorist bombings. Crit Care Med. 33(1), S107–112 (2005)
der Heide, E.A.: The importance of evidence-based disaster planning. Annals of Emergency Medicine 47(1), 34–49 (2006)
Emonet, T., Macal, C.M., North, M.J., Wickersham, C.E., Cluzel, P.: AgentCell: a digital single-cell assay for bacterial chemotaxis. Bioinformatics 21(11), 2714–2721 (2005)
Epstein, J.M.: Generative Social Science: Studies in Agent-Based Computational Modeling, vol. 2. Princeton University Press, Princeton (2007)
Rathlev, N.K., et al.: Time series analysis of variables associated with daily mean emergency department length of stay. Annals of Emergency Medicine 49(3), 265–271 (2007)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487 (2000)
Massaguer, D., Balasubramanian, V., Mehrotra, S., Venkatasubramanian, N.: Multi-agent simulation of disaster response. In: Proceedings of the First International Workshop on Agent Technology for Disaster Management, ATDM (2006)
Massaguer, D., Balasubramanian, V., Mehrotra, S., Venkatasubramanian, N.: Synthetic humans in emergency response drills. Demo paper in AAMAS (2006)
Mysore, V., Gill, O., Daruwala, R.-S., Antoniotti, M., Saraswat, V., Mishra, B.: Multi-agent modeling and analysis of the brazilian food-poisoning scenario. In: The Agent Conference (2005)
Mysore, V., Narzisi, G., Nelson, L., Rekow, D., Triola, M., Shapiro, A., Coleman, C., Gill, O., Daruwala, R.-S., Mishra, B.: Agent modeling of a sarin attack in manhattan. In: Proceedings of the First International Workshop on Agent Technology for Disaster Management, ATDM (2006)
Narzisi, G., Mysore, V., Nelson, L., Rekow, D., Triola, M., Halcomb, L., Portelli, I., Mishra, B.: Complexities, catastrophes and cities: Unraveling emergency dynamics. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, Springer, Heidelberg (2006)
Narzisi, G., Mysore, V., Mishra, B.: Multi-objective evolutionary optimization of agent based models: an application to emergency response planning. In: Computational Intelligence - CI 2006, pp. 224–230. ACTA Press (2006)
North, M.J., Collier, N.T., Vos, J.R.: Experiences creating three implementations of the repast agent modeling toolkit. ACM Transactions on Modeling and Computer Simulation 16(1), 1–25 (2006)
PNAS. Adaptive Agents, Intelligence, and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling, 99(3) (May 2002)
Schwehm, M., Leary, C., Duerr, H.-P., Eichner, M.: InterSim: A network-based outbreak investigation and intervention planning tool. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, Springer, Heidelberg (2006)
Tesfatsion, L., Judd, K. (eds.): Handbook of Computational Economics, Agent-Based Computational Economics, vol. 2. Elsevier, Amsterdam (2006)
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Narzisi, G., Mincer, J.S., Smith, S., Mishra, B. (2007). Resilience in the Face of Disaster: Accounting for Varying Disaster Magnitudes, Resource Topologies, and (Sub)Population Distributions in the PLAN C Emergency Planning Tool. In: Mařík, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_41
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DOI: https://doi.org/10.1007/978-3-540-74481-8_41
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