Modeling and Analysis of Traffic Accidents' Inducements Based on Factorial Experiment Method

Traffic accidents are caused by a variety of factors, while major accident inducements are different for specific districts. Effective activities can be done to reduce potential traffic risk by studying the mechanisms of accident formation for a particular area. This paper applies a biochemical factorial experiment method to traffic accidents' inducement analysis, and describes the processes of modeling and data processing in detail. Causes and their additive effects that significantly affect the accident quantity of a specific district can be distinguished in this manner, while the traditional statistical method only provides some simple percentages. Strengths and weaknesses of this new idea are both discussed based on a simple illustration. Data processing is mostly done by SPSS in this paper.