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arXiv 0901.3183physics.soc-phphysics.data-an
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致命交通事故中的重尾分布:人类活动的作用

Heavy-tailed distributions in fatal traffic accidents: role of human activities

Jie-Jun Tseng, Ming-Jer Lee, Sai-Ping Li

摘要:

在社会、技术和经济等复杂系统中,人类活动对观测量的统计特性起着至关重要的作用。我们证明了这一点,通过寻找在致命的飞机和汽车事故中的可观的重尾分布。它们的起源进行了检查,可以被理解为与人类活动有关的随机过程。提出了简单的数学模型来说明这样的过程,并从现有的数据库中获得的经验结果进行比较。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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