影响出行决策的交通质量多因素感知特征

发布时间：2018-01-09 09:04

本文关键词：影响出行决策的交通质量多因素感知特征　出处：《交通运输工程学报》2017年02期 　论文类型：期刊论文

【摘要】：分析了影响出行决策的交通质量因素及重要程度,筛选了10个主要因素,运用需求层次模型构建了交通质量因素基本体系,利用探索性因子分析法构建了交通质量因素结构体系分析模型,基于结构方程模型模拟了出行者个体特征、成本约束、出行决策及交通质量因素之间的影响关系,基于出行意愿调查数据进行试验分析,得到了交通质量因素的二阶层次结构体系和结构方程模型路径系数图,分析了交通质量因素对出行决策影响程度的综合路径系数与不同城市等级交通质量因素重要性的数值特征。分析结果表明:交通质量因素结构体系的前2个因子共解释了84.9%的总方差,且2个因子载荷系数均大于0.6,表明交通质量因素结构体系具有合理性;试验数据的克朗巴哈系数为0.86,效度检验系数为0.84,具有较高的信度及效度;结构方程模型的复核效度整体平均值为86.9%,且各个路径系数的复核效度均大于80%,模型对任意样本适用性较好;按照重要度排序,交通质量前4个因素依次为可靠性、快捷性、经济性、舒适性,综合路径系数分别为0.78、0.73、0.67、0.60;不同城市等级的交通质量因素重要度具有差异性,超大型城市最重要的因素是可靠性,路径系数为1.44,而小城市最重要的因素是舒适性,路径系数为1.72。可见,针对城市居民对交通质量因素感知特征制定相应的改善政策,可提高交通质量改善的效率和有效性。
[Abstract]:Analysis of the factors affecting the quality of traffic travel decision-making and the important degree, selected the 10 main factors, constructs the traffic quality factors of basic system by using the hierarchical model, exploratory factor analysis method to construct the factor structure system of traffic quality analysis model using structural equation model to simulate the individual traveler characteristics, based on cost constraints, influence between the factors of travel decision-making and traffic quality, analyzed travel will based on survey data, obtained two order hierarchical structure and structural equation model of path coefficient diagram of traffic quality factors, analyzes the numerical characteristics of the travel decision comprehensive influence factors and the path coefficient of different city traffic quality grade the importance of traffic quality factors results showed that the factor structure system of the traffic quality of the first 2 factors explained 84.9% of the total variance, and the 2 factors The load coefficient is greater than 0.6, indicated that the factor structure system of traffic quality is reasonable; the test data of Baja Koruna coefficient is 0.86, coefficient of test validity was 0.84, with high reliability and validity; review the validity of structural equation model in average was 86.9%, and the cross validation of each path coefficient is greater than 80%, a better model for any the applicability of the sample; according to the important degree of order, the traffic quality of the first 4 factors are reliability, rapidity, economy, comfort, integrated path coefficients were 0.78,0.73,0.67,0.60; different levels of city traffic quality factors important degree is different, the most important factors of super large city is reliability, the path coefficient was 1.44, and the the small city is the most important factor of comfort, path coefficient is 1.72. visible for city residents on traffic quality factors of perceived characteristics and formulate corresponding policies can be improved The efficiency and effectiveness of improving traffic quality.

【作者单位】：同济大学道路与交通工程教育部重点实验室;
【基金】：国家自然科学基金项目(51238008)
【分类号】：U491
【正文快照】： 0引言随着城市交通拥堵的日趋严重及城市多方式出行的综合运输体系特点,传统的以交通工具畅行为导向的交通质量评估方法难以体现出行者生理及心理对交通服务感知特性。另外,面对出行者的多样化及个性化交通需求,如何有的放矢地制定交通质量改善策略,从而提升效率并获得出行者

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