【摘要】：中小學生上下學出行是城市通勤出行的重要組成部分，這種出行交通方式的變化（私家車出行比重增加）給城市道路交通帶來了巨大的壓力，在一定程度上加劇了城市交通擁擠。對學生出行行為及其特性進行研究，有助于解城市交通壓力，改善學生的出行環(huán)境。文章以學生家庭的中小學生出行方式選擇行為為對象，主要研究其個人屬性、家庭屬性和出行特性對于學生出行方式的影響。通過對調查數(shù)據(jù)的統(tǒng)計分析，結合非集計模型中的Nested Logit模型，建立了學生出行方式選擇模型。模型分上下兩層，上層為公共交通方式和私人交通方式的選擇，下層為小汽車、電動車、自行車、步行交通方式的選擇。利用SPSS軟件對模型進行標定和檢驗，分析家庭交通工具擁有量、家庭收入、家長接送等家庭影響因素對學生出行選擇的影響。通過對模型中主要影響因素的敏感性分析，，結合交通需求管理理論，提出了學生出行結構優(yōu)化策略，為制定和實施緩解城市交通擁堵的出行需求管理政策提供了重要的參考依據(jù)。
[Abstract]:Primary and middle school students travel to and from school is an important part of urban commuter travel. The change of this travel mode (increasing the proportion of private cars travel) brings great pressure to urban road traffic. To some extent, the traffic congestion in the city has been aggravated. The study of students' travel behavior and its characteristics will help to solve the urban traffic pressure and improve the students' travel environment. This paper mainly studies the influence of the individual attribute, family attribute and travel characteristic on the students' travel mode, taking the behavior of the primary and middle school students' travel mode of the student's family as the object. Based on the statistical analysis of the survey data and the Nested Logit model in the disaggregate model, a student travel mode selection model is established. The model is divided into two levels, the upper layer is the choice of public transport mode and private transportation mode, and the lower level is the choice of car, electric vehicle, bicycle and walking mode. The model was calibrated and checked with SPSS software to analyze the influence of family factors such as the ownership of family transportation, family income and parents' transportation on students' travel choice. By analyzing the sensitivity of the main factors in the model and combining with the theory of traffic demand management, this paper puts forward the optimization strategy of student travel structure. It provides an important reference for making and implementing the travel demand management policy to alleviate urban traffic congestion.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U491

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本文編號：2411311