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Heavy-Tailed Distributions In Fatal Traffic Accidents: Role Of Human Activities

Author

Listed:
  • JIE-JUN TSENG

    (Institute of Physics, Academia Sinica, Taipei 115, Taiwan)

  • MING-JER LEE

    (Institute of Physics, Academia Sinica, Taipei 115, Taiwan)

  • SAI-PING LI

    (Institute of Physics, Academia Sinica, Taipei 115, Taiwan;
    Department of Physics, University of Toronto, Toronto, Ontario M5S 1A7, Canada)

Abstract

Human activities can play a crucial role in the statistical properties of observables in many complex systems such as social, technological, and economic systems. We demonstrate this by looking into the heavy-tailed distributions of observables in fatal plane and car accidents. Their origin is examined and can be understood as stochastic processes that are related to human activities. Simple mathematical models are proposed to illustrate such processes and compared with empirical results obtained from existing databanks.

Suggested Citation

  • Jie-Jun Tseng & Ming-Jer Lee & Sai-Ping Li, 2009. "Heavy-Tailed Distributions In Fatal Traffic Accidents: Role Of Human Activities," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1281-1290.
    • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:08:n:s0129183109014345
    DOI: 10.1142/S0129183109014345
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    References listed on IDEAS

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    1. Metzger, T. & Irawan, A. & Tsotsas, E., 2006. "Remarks on the paper “Extension of Hoshen–Kopelman algorithm to non-lattice environments” by A. Al-Futaisi and T.W. Patzek, Physica A 321 (2003) 665–678," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 558-560.
    2. ., 2006. "Physical and Social Indicators," Chapters, in: Middle East Oil Exporters, chapter 5, Edward Elgar Publishing.
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