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

被引：1

作者：

Tseng, Jie-Jun ^{[1
]}

Lee, Ming-Jer ^{[1
]}

Li, Sai-Ping ^{[1
,2
]}

机构：

[1] Acad Sinica, Inst Phys, Taipei 115, Taiwan

[2] Univ Toronto, Dept Phys, Toronto, ON M5S 1A7, Canada

来源：

INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2009年 / 20卷 / 08期

关键词：

Heavy-tailed distributions; human activities; stochastic processes; traffic accidents; TIME-SERIES;

D O I：

10.1142/S0129183109014345

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1281 / 1290

页数：10

共 10 条

[1] Time-evolving distribution of time lags between commercial airline disasters [J].