信号交叉口行人过街违章行为分析

发布时间：2018-01-01 15:03

本文关键词：信号交叉口行人过街违章行为分析　出处：《西南交通大学》2016年硕士论文　论文类型：学位论文

【摘要】：行人过街行为是一项基本的行人交通行为,在步行交通行为中占有一定的份额。然而在以往的交通思想中主要以机动车的运行为主,较多的交通设计和设置没有考虑行人的内在需求。因此有很多的行人在过街时采取违章的行为,这不仅威胁到行人自身的安全,同时也对道路的畅通运行造成影响,这种现象在信交叉口尤为严重。因此对行人过街违规行为的研究一直是城市道路交通安全的重要课题。目前对行人过街违章行为的研究主要通过对具体可观测指标进行测度,较少从行人的角度进行思考。因此,本文从行人的角度出发,围绕行人过街的决策过程,运用结构方程模型从考虑行人感受的角度来分析行人过街违章行为。本文主要涵盖以下研究内容：首先通过对信号交叉口行人过街违章行为相关的内容进行详细的分析,并结合前人的研究成果,归纳总结影响行人违章过街行为的因素,分别为时间因子、群体因子、交通流因子、道路设施因子以及其他因子,同时对行人违章过街行为进行定义。其次,基于结构方程模型的优势,本文构建了信号交叉口行人过街违章行为的结构方程模型,并利用最大似然法对模型进行求解分析。然后,从行人的角度考虑,根据构建的模型采用李克特五级量表设计了相应的调查问卷,通过在信号交叉口现场发放后将数据回收整理；利用SPSS软件对样本数据进行因子分析,同时对调查问卷进行了信度和效度检验；利用AMOS21.0软件对结构方程模型进行求解和评估,通过路径分析、模型拟合以及模型修改等过程,最终得到拟合度非常好的分析模型,从而得出了了各影响因素对行人违章行为的作用效果,其中时间因子的影响系数为0.234,道路设施因子的影响系数为0.252,交通流因子的影响系数为0.36,群体因子的影响系数为0.337,其他因子的影响系数为0.197。并对样本进行分群研究,探讨了不同群体违章过街的特征规律。最后,结合前面的研究和调查结论,从交通规划方面、安全教育管理方面以及道路设施方面提出了相应的措施,为减少和预防行人违章行为、改善信号交叉口行人过街环境提供一定的参考依据。
[Abstract]:Pedestrian crossing is a basic pedestrian traffic behavior, which occupies a certain share in the pedestrian traffic behavior. However, in the past, the main traffic thought is the movement of motor vehicles. More traffic design and settings do not take into account the inherent needs of pedestrians, so there are a lot of pedestrians across the street to take illegal behavior, which not only threatens the safety of pedestrians themselves. At the same time, it also has an impact on the smooth operation of the road. Therefore, the study of pedestrian crossing violations has always been an important subject of urban road traffic safety. At present, the study of pedestrian crossing violations is mainly through the specific observable indicators. Mark to measure. Less thinking from the perspective of pedestrians. Therefore, this paper from the perspective of pedestrians, around the pedestrian crossing decision-making process. The structural equation model is used to analyze pedestrian crossing violations from the perspective of pedestrian perception. This paper mainly covers the following research contents:. First of all, through the signal intersection pedestrian traffic violations related to the content of a detailed analysis. And combined with previous research results, summed up the impact of pedestrian traffic violations of the factors, respectively, time factor, group factor, traffic flow factor, road facilities factor and other factors. At the same time, the pedestrian crossing behavior is defined. Secondly, based on the advantages of structural equation model, this paper constructs the structure equation model of pedestrian crossing violation behavior at signalized intersection. And the maximum likelihood method is used to solve the model. Then, from the perspective of pedestrians, according to the model constructed by using the Richter five scale to design the corresponding questionnaire. The data is recycled and sorted after the signal intersection is released on the spot. The factor analysis of sample data was carried out by SPSS software, and the reliability and validity of the questionnaire were tested. The structural equation model is solved and evaluated by AMOS21.0 software. Through path analysis, model fitting and model modification, a very good analysis model is obtained. Thus, the effect of various factors on pedestrian violations is obtained, in which the influence coefficient of time factor is 0.234, and the influence coefficient of road facilities factor is 0.252. The influence coefficient of traffic flow factor is 0.36, the influence coefficient of population factor is 0.337, the influence coefficient of other factors is 0.197. Finally, combined with the previous research and investigation conclusions, from the traffic planning, safety education management and road facilities put forward the corresponding measures. In order to reduce and prevent pedestrian violations and improve pedestrian crossing environment at signalized intersections, this paper provides some references.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U491

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