Many traffic participants are not aware of traffic misconduct, which leads to frequent traffic accidents, which in turn worsens the traffic environment and increase economic losses. This paper designs a questionnaire survey on the anomie behavior of three types of traffic participants and analyzes influencing factors, such as age and gender, using SPSS21.0 analysis software. A fault tree model is established to determine the key factors affecting the anomie behavior of traffic participants and analyzes the degree to which the key factors produce anomie behavior. FreeFta software is used to analyze and calculate the minimum cut set and structural importance, as well as perform quantitative analysis and calculation of the probability and critical importance. Finally, according to the analysis results, the key factors are summarized, and targeted measures are given to the three types of traffic participants, which is of great significance to alleviate traffic accidents.
Research and Analysis of Urban Road Traffic Anomie Behavior Based on Fault Tree Model
21st COTA International Conference of Transportation Professionals ; 2021 ; Xi’an, China
CICTP 2021 ; 1463-1472
14.12.2021
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Research on Anomie Behavior of Drivers on Non-physical Isolated Urban Road Based on Game Theory
DOAJ | 2019
|Anomie and Traffic Alcoholism: Establishments and Prospects
British Library Conference Proceedings | 1995
|Research on Urban Road Network Traffic Simulation Model
ASCE | 2014
|