基于家庭属性和NL模型的学生出行行为及对策研究
发布时间：2019-01-19 11:04
【摘要】：中小学生上下学出行是城市通勤出行的重要组成部分，这种出行交通方式的变化（私家车出行比重增加）给城市道路交通带来了巨大的压力，在一定程度上加剧了城市交通拥挤。对学生出行行为及其特性进行研究，有助于解城市交通压力，改善学生的出行环境。文章以学生家庭的中小学生出行方式选择行为为对象，主要研究其个人属性、家庭属性和出行特性对于学生出行方式的影响。通过对调查数据的统计分析，结合非集计模型中的Nested Logit模型，建立了学生出行方式选择模型。模型分上下两层，上层为公共交通方式和私人交通方式的选择，下层为小汽车、电动车、自行车、步行交通方式的选择。利用SPSS软件对模型进行标定和检验，分析家庭交通工具拥有量、家庭收入、家长接送等家庭影响因素对学生出行选择的影响。通过对模型中主要影响因素的敏感性分析，，结合交通需求管理理论，提出了学生出行结构优化策略，为制定和实施缓解城市交通拥堵的出行需求管理政策提供了重要的参考依据。
[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.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491
本文编号：2411311
[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.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491
【参考文献】
相关期刊论文 前3条
1 韩娟;程国柱;李洪强;;小学生上下学出行特征分析与管理策略[J];城市交通;2011年02期
2 隽志才,李志瑶,宗芳;基于活动链的出行需求预测方法综述[J];公路交通科技;2005年06期
3 鲜于建川;隽志才;;双职工家庭通勤出行长度选择研究[J];武汉理工大学学报(交通科学与工程版);2012年06期
本文编号：2411311
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