Analyzing the causation of public accidents caused by urban logistics based on complex network

Based on the complex network theory, this paper establishes a new model to analyze the cause of public accidents by urban logistics. In the model, a node is defined as an obvious or potential cause of an accident. By using the complex network theory, especially its statistical indexes, we can analyze the accidents of urban logistics to public security from a global perspective and get the main reasons. This paper analyzes the case of "11.18" major warehouse fire in Daxing District, Beijing. The results show that the enterprise's safety education and training for employees and the non-standard electrical wiring have played an important role in the accident. In a word, the model provides theoretical clues for the prediction of public accidents caused by urban logistics, which can greatly reduce the occurrence of urban logistics accidents.

I. Introduction

In recent years, with the rapid development of e-commerce, the development of urban logistics industry accelerated. However, with the improvement of urban logistics business volume and the increase of urban logistics network, urban logistics to public safety has been widely concerned. The annual loss by packaging accidents of China's logistics industry is about 15 billion yuan, 50 billion yuan due to loading, unloading and transportation accidents, and about 3 billion yuan due to storage accidents [1].Therefore, strengthening the research on logistics risk management and control, reducing and controlling logistics risk has become an inevitable practical problem in academic community and the logistics industry.