摘要
本文分析信号为红灯情况下影响行人过街行为的因素及其重要程度。选取北京市3个较为规范的十字交叉口为调查点,结合问卷调查数据,建立了基于不同影响因素的行人过街行为的Logit回归模型,进行模型参数标定和验证,得出交通信息因素、个体因素、心理因素和约束因素对过街行为起到的作用,从而有针对性地提出减少行人违章的建议。此结论对行人交通规划和管理有较好的指导意义。
This paper analyzed on the importance of factors that could impact pedestrian crossing behavior under the red light.Then conducted a survey in the standard intersections of Beijing to get the data through questionnaires methods,established a Logit regression model based on different affecting factors of pedestrian behavior,with the model parameter calibration and validation.The results showed that transportation information factor,personal factor,psychological factor as well as constraint factor played a significant role on pedestrian＇s behavior.The conclusion was good for the guide to the pedestrian traffic planning and management.
出处
《铁路计算机应用》
2012年第11期8-11,共4页
Railway Computer Application
关键词
行人过街行为
影响因素
问卷调查
LOGIT回归模型
pedestrian crossing behaver
influencing factor
questionnaire survey
Logit regression model
