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Understanding Effects of Complexity in Cities During Disasters

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Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

Cities are considered as complex systems which consist of highly heterogeneous and interconnected sub-systems and autonomous entities connected by non-linear, multiple interactions. When such a complex system is struck by a hazard, it stops operating as in normal conditions, due to interrupted interconnections among sub-systems. Which sub-systems and/or their interconnections are vulnerable to disasters and may create disruption to the urban system can be assessed by vulnerability analysis. However, how a disruption in a sub-system could affect the urban system cannot be foreseen in every detail prior to the occurrence of an event. In order to further the understanding of cities during disasters, this paper gives examples of consequences of uncertain interactions between urban systems and unforeseen reactions of humans during disasters such as the 1995 Kobe Earthquake, 2005 Rita and Katrina Hurricanes, and the 2010 volcanic eruption of Eyjafjallajokull.

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References

  • Allen, P.M.: Cities and Regions as Self-Organizing Systems: Models of Complexity. Environmental Problems and Social Dynamics Series. Taylor and Francis, London (2005)

    Google Scholar 

  • Allen, T., Moses, J., Hastings, D., Lloyd, S., Little, J., McGowan, D., Magee, C., Moavenzadeh, F., Nightingale, D., Roos, D., Whitney, D.: ESD Terms and Definitions (Version 12). http://esd.mit.edu/WPS/esd-wp-2002-01.pdf (2001)

  • Arthur, W.B.: Complexity and the economy. Science 284, 107–109 (1999)

    Article  Google Scholar 

  • Atun, F.: Enhancing resilience of transportation systems in case of disasters. PhD Thesis in Spatial Planning and Urban Development Program, at Architecture and Urban Studies Department, Politecnico di Milano (2013)

    Google Scholar 

  • Beck, U.: Risk Society: Towards a New Modernity. Sage, London (1992)

    Google Scholar 

  • Bonebeu, E.: Agent-based modelling: methods and techniques for simulating human systems. PNAS 99(3), 7280–7287 (2002)

    Article  Google Scholar 

  • Brown, D.G., Page, S.E., Riolo, R., Rand, W.: Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling & Software 19, 1097–1109 (2004)

    Google Scholar 

  • Browne, M.: Interview with Professor Michael Browne, Professor of Logistics. University of Westminster, London (2011)

    Google Scholar 

  • Cavalcante, R.C., Bittencourt, I.I., da Silva, A.P., Silva, M., Costa, E., Santos, R.: A survey of security in multi-agent systems. Expert Syst. Appl. 39(5), 4835–4846 (2012)

    Article  Google Scholar 

  • Chaturvedi, A.R., Gupta, M., Mehta, S.R., Yue, W.T.: Agent-based simulation approach to information warfare in the SEAS environment. In: Proceedings of the 33rd Annual Hawaii International Conference System Sciences 2000 (2000)

    Google Scholar 

  • Comfort, L.K.: Shared Risk: Complex Systems in Seismic Response. Pergamon, Oxford (1999)

    Google Scholar 

  • Comfort, L.K., Haase, ThW: Communication, coherence, and collective action: the impact of hurricane Katrina on communications infrastructure. Public Works Manag. Policy 10(4), 328–343 (2006)

    Article  Google Scholar 

  • Comfort, L.K., Sungu, Y., Johnson, D., Dunn, M.: Complex systems in crisis: anticipation and resilience in dynamic environments. J. Contingencies Crisis Manag. 9(3), 144–158 (2001)

    Article  Google Scholar 

  • Courdier, R., Guerrin, F., Andriamasinoro, F.H., Paillat, J.-M.: Agent-based simulation of complex systems: application to collective management of animal wastes. J. Artif. Societies Soc. Simul. 5(3), 1–26 (2002)

    Google Scholar 

  • Davies, G.J., Kendall, G., Soane, E., Li, J., Charnley, F., Pollard, S.J.T.: Regulators as ‘agents’: power and personality in risk regulation and a role for agent-based simulation. J. Risk Res. 13(8), 961–982 (2010)

    Article  Google Scholar 

  • Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison-Wesley, New York (1999)

    Google Scholar 

  • Feuillette, S., Bousquet, F., Le Goulvenc, P.: SINUSE: a multi-agent model to negotiate water demand management on a free access water table. Environ. Model. Softw. 18, 413–427 (2003)

    Article  Google Scholar 

  • Gell-Mann, M.: The Quark and the Jaguar. Adventures in the Simple and Complex. Abacus, London (1995)

    MATH  Google Scholar 

  • Goltz, J.D.: Emergency Response in the Great Hanshin-Awasi Earthquake of January 17, 1995: Planning, Mobilization and Inter-Organizational Coordination. Eleventh World Conference on Earthquake Engineering, p. 589. Elsevier, Amsterdam (1996)

    Google Scholar 

  • Hale, A., Heijer, T.: Is resilience really necessary? the case of railways. In: Hollnagel, E., Woods, D.D., Leveson, N. (eds.) Resilience Engineering: Concepts and Precepts, pp. 125–148. Ashgate, Farnham (2006)

    Google Scholar 

  • Hollnagel, E.: Resilience: the challenge of the unstable. In: Hollnagel, E., Woods, D.D., Leveson, N. (eds.): Resilience Engineering: Concepts and Precepts, pp. 9–18. Ashgate, Farnham (2006)

    Google Scholar 

  • Janssen, M.A.: Agent-based Modeling. In: Proops, J., Safonov, P. (eds): Modeling in Ecological Economics, pp. 155–172. Edward Elgar, Cheltenham (2005)

    Google Scholar 

  • Johnson, N.: Simply Complexity: A Clear Guide to Complexity Theory. One-World Publications, Oxford (2009)

    Google Scholar 

  • Kaufmann, S.: At Home in the Universe: The Search for Laws of Self-Organization and Complexity. Oxford University Press, Oxford (1996)

    Google Scholar 

  • Kurahashi, S., Terano, T.: Analysing norm emergence in communal sharing via agent-based simulation. Syst. Comput. Jpn 36(6), 102–112 (2005)

    Article  MATH  Google Scholar 

  • Landry, B.J.L., Koger, M.S.: Dispelling 10 common disaster myths: lessons learned from hurricane Katrina and other disasters. ACM J. Educ. Res. Comput. 6(4), 1–14 (2006)

    Article  Google Scholar 

  • Litman, T.: Lessons learned from Katrina and Rita: what a major disaster can teach transportation planners. J. Transp. Eng. 132, 11–18 (2006)

    Article  Google Scholar 

  • McConnell, J.B.: A Life Cycle Flexibility Framework for Designing, Evaluating and Managing “Complex” Real Options: Case Studies in Urban Transportation and Aircraft Systems. Thesis of Doctor of Philosophy in Technology, Management and Policy at the Massachusetts Institute of Technology (2007)

    Google Scholar 

  • Matthews, R.B., Gilbert, N., Roach, A., Polhill, G., Gotts, N.: Agent-based land-use models: a review of applications. Landscape Ecol. 22, 1447–1459 (2007)

    Article  Google Scholar 

  • Menoni, S.: Chains of damages and failures in a metropolitan environment: some observations on the Kobe earthquake in 1995. J. Hazard. Mater. 86, 101–119 (2001)

    Article  Google Scholar 

  • Mitchell, M.: Complexity: A Guided Tour. Oxford University Press, Oxford (2009)

    MATH  Google Scholar 

  • Nute, D., Potter, W.D., Maier, F., Wang, J., Twery, M., Rauscher, H.M., Thomasma, S., Dass, M., Uchiyama, H., Glende, A.: NED-2: an agent-based decision support system for forest ecosystem management. Environ. Modell. Software 19, 831–843 (2004)

    Article  Google Scholar 

  • Olshansky, R.B., Johnson, L.A., Topping, K.C.: Rebuilding communities following disaster: lessons from Kobe and Los Angeles. Built Environ. 32(4), 357–374 (2006)

    Article  Google Scholar 

  • Park, S., Sugumaran, V.: Designing multi-agent systems: a framework and application. Expert Syst. Appl. 28, 259–271 (2005)

    Article  Google Scholar 

  • Paton, D., Johnston, D. (eds.): Disaster Resilience: An Integrated Approach. Charles C. Thomas, Springfield, Ill. (2006)

    Google Scholar 

  • Pidgeon, N., O’Leary, M.: Man-made disasters: why technology and organizations (sometimes) fail. Saf. Sci. 34, 15–30 (2000)

    Article  Google Scholar 

  • Schneider, S.K.: Flirting with Disaster: Public Management in Crisis Situations. M.E. Sharpe, Armonk (1995)

    Google Scholar 

  • Shaw, R., Goda, K.: From disaster to sustainable civil society: the Kobe experience. Disasters 28(1), 16–40 (2004)

    Article  Google Scholar 

  • Turner, B.L., Kasperson, R.E., Matson, P.A., McCarthy, J.J., Corell, R.W., Christensen, L., Eckleyg, N., Kasperson, J.X., Luerse, A., Martellog, M.L., Polskya, C., Pulsiphera, A., Schiller, A.: A framework for vulnerability analysis in sustainability science. Proc. Nat. Acad. Sci. 100(14), 8074–8079 (2003)

    Article  Google Scholar 

  • White, G.F.: Notes on flood protection and land use planning. Planners J. 3(3), 57–61 (1936)

    Article  Google Scholar 

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Acknowledgement

The author would like to thank Christian Walloth and Scira Menoni for their valuable comments on earlier drafts and for the support during the writing process.

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Correspondence to Funda Atun .

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Atun, F. (2014). Understanding Effects of Complexity in Cities During Disasters. In: Walloth, C., Gurr, J., Schmidt, J. (eds) Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-02996-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-02996-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02995-5

  • Online ISBN: 978-3-319-02996-2

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