论文部分内容阅读
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。
This paper analyzes the traffic quality factors and the degree of importance that affect travel decision-making, selects 10 main factors, constructs the basic system of traffic quality factors by using the demand hierarchy model, constructs a traffic quality factor structural system analysis model by exploratory factor analysis, The equation model simulates the individual characteristics of travelers, cost constraints, travel decisions and traffic quality factors between the impact of the relationship between the willingness to travel survey data based on experimental analysis of the second-order hierarchical structure of traffic quality factors and structural equation model path coefficient This paper analyzes the numerical characteristics of the importance of traffic quality factors that affect the degree of impact of travel decisions on traffic quality factors at different urban levels. The results show that the first two factors of the traffic quality factor system explain a total variance of 84.9%, and the load factors of the two factors are all greater than 0.6, indicating that the traffic quality factor system is reasonable. The Cronbach’s coefficient 0.86, and the validity test coefficient was 0.84. The structural validity of the structural equation model was 86.9%, and the validation of each path coefficient was more than 80% The sample applicability is better. According to the order of importance, the first four factors of traffic quality are reliability, fastness, economy and comfort, and the comprehensive path coefficients are 0.78, 0.73, 0.67 and 0.60 respectively. Traffic quality at different urban levels The importance of factors is different. The most important factor in mega-cities is reliability, with a path coefficient of 1.44. The most important factor in small cities is comfort, with a path coefficient of 1.72. It can be seen that aiming at the improvement policies of urban residents on the perceived characteristics of traffic quality, the efficiency and effectiveness of traffic quality improvement can be improved.