Key management area identification method for safety education improvement

Abstract

The invention relates to a key management area identification method for safety education improvement. The key management area identification method comprises the steps: 1, acquiring urban traffic accident data, land utilization data, social economic data and road network data; 2, dividing urban safety education macroscopic modeling analysis units; 3, constructing a sample data set; 4, establishing a Bayesian Poisson logarithmic normal condition autoregression model to predict the number of involved personnel; 5, calculating a security improvable spatial value; 6, carrying out safety education key management area identification to obtain an identification result. Compared with the prior art, the method has the advantages of being accurate, reliable, more reasonable and the like.

Description

technical field [0001] The invention relates to the technical field of traffic safety management and safety education scheme optimization, in particular to a key management area identification method for safety education improvement. Background technique [0002] In the context of urbanization, the safety planning and construction management of road facilities failed to meet the rapidly increasing traffic demand in a timely manner. Coupled with the serious mixed traffic situation in my country, traffic safety has become a bottleneck restricting the sustainable development of cities. Under the increasingly severe road traffic safety situation, the application of active safety management measures can improve the city's traffic safety from the source by conducting targeted safety education in key management areas of safety education, that is, areas where residents' awareness of safe travel is weak. Level. In this context, accurately identifying the key management areas of safe...

AI Technical Summary

Problems solved by technology

[0004] However, the existing identification of key management areas is based on the location of the accident. Due to the difference between the location of the accident and the residence of the people involved, the traditional method is difficult to meet the precise identification requirements for safety education measures.

At the same time, foreign related studies have further shown that regional characteristics such as socio-economic characteristics have different impacts on the distribution of accidents and personnel involved.

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