Abstract:

To explore cargo electric tricycles' risk behavioral characteristics of driving behaviors and its factors， a questionnaire scale of "personality trait-attitude/perception-behaviors" factors of risk behavior was designed and implemented. The data of 906 electric tricycle riders and 280 control group were analyzed， and four risk behavior models of road lapse， errors， speeding and red-light violations were given by structural equation. Based on the information entropy of the sample data， the risk factors were given weight to analyze the influencing mechanism of each factor on the risky riding behavior of cargo electric tricycles. Studies have shown that people who are prone to anger （β=0.332，0.309） and hardly to altruism （β=-0.215，-0.156） are more likely to make risk behaviors of errors and speeding， and people who are prone to anger（β=0.275）， have a strong normlessness（β=0.164） and have a poor altruism（β=-0.209） are more likely to make risk behaviors of lapses. People with a high anxiety（β=0.144） and a strong normlessness（β=0.231） are more likely to make risk behavior of red-light running. People with a poor safety attitude are prone to all four risk behaviors. The comprehensive risk scores of the four types of risk behaviors are 0.367， 0.176， 0.321 and 0.136 respetively.

Key words: transportation safety engineering, risk behaviors, structural equation, cargo electric tricycles, cause analysis