道路交叉口行人不安全行为影响因素研究

发布时间：2018-04-23 10:28

  本文选题：道路交通 + 行人违章行为　； 参考：《北京交通大学》2015年硕士论文

【摘要】：各种交通工具在信号交叉口汇集,行人作为城市交通的重要构成部分,在信号交叉口与机动车、非机动车之间的交通冲突普遍存在。行人的不安全行为不仅威胁了作为弱势群体的行人本身的生命财产安全,同时也对其他交通流产生妨碍作用,因此对信号交叉口行人不安全行为影响因素的研究无疑具有重要意义。 本文首先在对国内外行人不安全行为影响因素研究成果分析和总结的基础上,对信号交叉口行人的不安全行为的影响因素进行了研究,分析了行人在信号交叉口产生不安全行为的过程、影响因素及在不同影响因素作用下的信号交叉口行人交通现存问题。其次,论文制定了科学合理的调查方案,选取典型的信号交叉口通过视频录像和人工调查相结合的方法进行调查,获取了行人在信号交叉口不安全行为的数据。再次,对获取的数据进行因子分析,从12个影响因素中提取出5个主要的影响因素,并通过SPSS软件运用logistic回归模型,建立信号交叉口行人不安全行为选择模型,对模型的参数进行标定,同时对模型进行检验及评价,检验结果表明模型可以较好的反映行人不安全行为特性。 通过模型可知行人受影响因素影响时在信号交叉口发生违章的概率,以及主要影响因素可以提取为道路设施、等待时间、交通状况、群体特征四个方面。根据研究结果,针对影响因素,本文从交叉口环境、信号灯管理、交通状况、行人管理和教育四个方面分别提出了改善意见,为减少行人不安全行为提供参考。
[Abstract]:As an important component of urban traffic, traffic conflicts between signalized intersections and motor vehicles and non-motor vehicles are common. The unsafe behaviour of pedestrians not only threatens the lives and property of pedestrians as a vulnerable group, but also acts as an impediment to other traffic flows, Therefore, it is of great significance to study the influencing factors of pedestrian unsafe behavior at signalized intersections. Based on the analysis and summary of the factors influencing pedestrian unsafe behavior at home and abroad, this paper studies the influencing factors of pedestrian unsafe behavior at signalized intersections. This paper analyzes the process of unsafe behavior of pedestrians at signalized intersections, the influencing factors and the existing problems of pedestrian traffic in signalized intersections under different influence factors. Secondly, the thesis makes a scientific and reasonable investigation scheme, selects the typical signal intersection through the video recording and manual investigation method to investigate, and obtains the data of pedestrian unsafe behavior at the signalized intersection. Thirdly, through factor analysis of the acquired data, five main influencing factors were extracted from 12 factors, and the pedestrian unsafe behavior selection model was established by using logistic regression model in SPSS software. The parameters of the model are calibrated, and the model is tested and evaluated. The results show that the model can well reflect the behavior characteristics of pedestrian insecurity. Through the model, we can know the probability of pedestrian violation at signalized intersection when affected by the factors, and the main factors can be extracted as road facilities, waiting time, traffic conditions, and group characteristics. According to the research results, aiming at the influence factors, this paper puts forward the improvement opinions from four aspects of intersection environment, signal management, traffic condition, pedestrian management and education, which can provide a reference for reducing the unsafe behavior of pedestrians.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.23
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本文编号：1791570