HEAVY-TAILED DISTRIBUTIONS IN FATAL TRAFFIC ACCIDENTS: ROLE OF HUMAN ACTIVITIES

Jie-Jun Tseng (), Ming-Jer Lee and Sai-Ping Li
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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;

International Journal of Modern Physics C (IJMPC), 2009, vol. 20, issue 08, 1281-1290

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.

Keywords: Heavy-tailed distributions; human activities; stochastic processes; traffic accidents; 02.50.-r; 89.75.Da; 89.40.-a (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1142/S0129183109014345

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