基于主客观多维变量的城市轨道网络规模影响

精准研究城市轨道交通网络规模发展的影响机理,有利于政府相关部门进行城市轨道交通系统的规划建设与政策制定。定性分析了5类主客观多维因素对城市轨道交通网络规模的影响,利用问卷调查法探究轨道交通乘客满意度,利用SPSS软件分析7个主客观影响指标与轨道网络规模间的相关性,并基于结构方程建立城市轨道网络规模影响模型。研究结果表明:构建的模型结构与变量间影响关系具有有效性;选取的主客观影响变量均显著影响城市轨道网络规模,与相关性分析结果一致;客观条件因素较主观心理因素对城市轨道线网规模具有更强的影响效应,其中第三产业值和日均客运量具有最大的影响效应值0.495,而乘客满意度影响效应值最低为0.451。研究可为城市轨道交通发展建设的规划决策提供理论支撑。

Influence of urban rail network scale based on subjective and objective multidimensional variables

Research on the influence mechanism of the scale development of urban rail transit networks is conducive to the scientific planning and development of urban rail transit systems and policy formulation by relevant government authorities. This study qualitatively analyzes the influence of five types of subjective and objective multidimensional factors on the scale of the urban rail transit network, and a questionnaire survey is conducted to explore passenger satisfaction in terms of the urban rail transit service. Moreover, the SPSS software is used to analyze the correlation between the seven subjective and objective influencing metrics and the scale of urban rail transit network. Additionally, an influence model of the urban rail network scale is established based on the structural equation. Results show that the model structure and the relationship between the influencing variables are effective. Both subjective and objective influencing variables exert remarkable effects on the scale of the urban rail transit network, consistent with the correlation analysis results. The objective factors exert a stronger impact on the scale of the urban rail transit network than the subjective psychological factors. The tertiary industry output value and the average daily passenger volume exhibit the largest impact value of 0.495, and the passenger satisfaction degree shows the lowest impact value of 0.451. This research can provide theoretical support for the planning and decision-making of urban rail transit development and construction.