本文選題：道路交通 + 行人違章行為　； 參考：《北京交通大學(xué)》2015年碩士論文

【摘要】：各種交通工具在信號(hào)交叉口匯集,行人作為城市交通的重要構(gòu)成部分,在信號(hào)交叉口與機(jī)動(dòng)車、非機(jī)動(dòng)車之間的交通沖突普遍存在。行人的不安全行為不僅威脅了作為弱勢(shì)群體的行人本身的生命財(cái)產(chǎn)安全,同時(shí)也對(duì)其他交通流產(chǎn)生妨礙作用,因此對(duì)信號(hào)交叉口行人不安全行為影響因素的研究無(wú)疑具有重要意義。 本文首先在對(duì)國(guó)內(nèi)外行人不安全行為影響因素研究成果分析和總結(jié)的基礎(chǔ)上,對(duì)信號(hào)交叉口行人的不安全行為的影響因素進(jìn)行了研究,分析了行人在信號(hào)交叉口產(chǎn)生不安全行為的過程、影響因素及在不同影響因素作用下的信號(hào)交叉口行人交通現(xiàn)存問題。其次,論文制定了科學(xué)合理的調(diào)查方案,選取典型的信號(hào)交叉口通過視頻錄像和人工調(diào)查相結(jié)合的方法進(jìn)行調(diào)查,獲取了行人在信號(hào)交叉口不安全行為的數(shù)據(jù)。再次,對(duì)獲取的數(shù)據(jù)進(jìn)行因子分析,從12個(gè)影響因素中提取出5個(gè)主要的影響因素,并通過SPSS軟件運(yùn)用logistic回歸模型,建立信號(hào)交叉口行人不安全行為選擇模型,對(duì)模型的參數(shù)進(jìn)行標(biāo)定,同時(shí)對(duì)模型進(jìn)行檢驗(yàn)及評(píng)價(jià),檢驗(yàn)結(jié)果表明模型可以較好的反映行人不安全行為特性。 通過模型可知行人受影響因素影響時(shí)在信號(hào)交叉口發(fā)生違章的概率,以及主要影響因素可以提取為道路設(shè)施、等待時(shí)間、交通狀況、群體特征四個(gè)方面。根據(jù)研究結(jié)果,針對(duì)影響因素,本文從交叉口環(huán)境、信號(hào)燈管理、交通狀況、行人管理和教育四個(gè)方面分別提出了改善意見,為減少行人不安全行為提供參考。
[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.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U491.23
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本文編號(hào)：1791570