Human dynamics scaling characteristics for aerial inbound logistics operation

In recent years. the study of power-law scaling characteristics of real-life networks has attracted much interest from scholars, it deviates from the Poisson process. In this paper, we take the whole process of aerial inbound operation in a logistics company as the empirical object The main aim of this work is to study the statistical scaling characteristics of the task-restricted work patterns We found that the statistical variables have the scaling characteristics of unimodal distribution with a power-law tail in five statistical distributions that is to say, there obviously exists a peak in each distribution, the shape of the left part closes to a Poisson distribution, and the right part has a heavy-tailed scaling statistics Furthermore, to our surprise, there is only one distribution where the right parts can be approximated by the power-law form with exponent alpha = 150 Others are bigger than 1.50 (three of four are about 2.50, one of four is about 3.00) We then obtain two inferences based on these empirical results. first, the human behaviors probably both close to the Poisson statistics and power-law distributions on certain levels, and the human-computer interaction behaviors may be the most common in the logistics operational areas, even in the whole task-restricted work pattern areas Second, the hypothesis in Vazquez et al. (2006) [A Vazquez, J G Oliveira, Z Dezso, K.-I. Goh, I Kondor, A -L Barabasi. Modeling burst and heavy tails in human dynamics, Phys. Rev E 73 (2006) 036127] is probably not sufficient, it claimed that human dynamics can be classified as two discrete university classes There may be a new human dynamics mechanism that is different from the classical Barabasi models (C) 2010 Elsevier B.V. All rights reserved.