基于主客观多维变量的城市轨道网络规模影响

doi:10.3976/j.issn.1002-4026.2022.01.014

Abstract

Abstract:

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.

Key words: urban rail transit, network scale, subjective and objective factors, questionnaire survey method, structural equation

CLC Number:

U491

LIU Xue-li,XIU Chun,YANG Li-chen. Influence of urban rail network scale based on subjective and objective multidimensional variables[J].Shandong Science, 2022, 35(1): 107-114.

Figures/Tables 7

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References 18

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	线路长度	政策因素	日均客运量	GDP	第三产业产值	人口规模	建设用地规模	乘客满意度
线路长度	1.000	0.920	0.971	0.976	0.968	0.970	0.964	0.923
政策因素	0.920	1.000	0.860	0.906	0.885	0.966	0.962	0.950
日均客运量	0.971	0.860	1.000	0.985	0.983	0.945	0.935	0.851
GDP	0.976	0.906	0.985	1.000	0.998	0.977	0.971	0.889
第三产业产值	0.968	0.885	0.983	0.998	1.000	0.965	0.961	0.871
人口规模	0.970	0.966	0.945	0.977	0.965	1.000	0.993	0.940
建设用地规模	0.964	0.962	0.935	0.971	0.961	0.993	1.000	0.942
乘客满意度	0.923	0.950	0.851	0.889	0.871	0.940	0.942	1.000

评估指标	NFI	RFI	IFI	RMSEA	CMIN/DF
评估标准	>0.9	>0.9	>0.9	<0.08	<3
模型指数	0.924	0.886	0.948	0.033	2.925

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

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