Open AccessModeling and Analysis of Bus Satisfaction Based on improved structural equation model
Author(s) -
Zhixin Wang,
Yi Zhang,
Jinhui Li,
Xiaomin Wang,
Meng Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/2/022020
Subject(s) - structural equation modeling , principal component analysis , dimension (graph theory) , computer science , principal (computer security) , factor analysis , service (business) , factor (programming language) , reliability engineering , mathematics , engineering , artificial intelligence , business , marketing , computer security , machine learning , pure mathematics , programming language
In order to analyze the influencing factors of urban bus passenger satisfaction more scientifically, this paper constructs an improved structural equation model. The key point of this method is to extract principal components by principal component analysis before applying traditional structural equation model. Taking Luoyang as an example, summarize 21 indicators that affact passenger satisfaction. The SPSS software was used to analyze the principal component of the questionnaire data, and the passenger perceptible mass factor was reduced from 21 dimension to 4 dimension. On this basis, the structural equation model of potential factor correlation and passenger satisfaction evaluation was established for the extracted 4 principal components and 21 observable variables. Finally, the Amos software is used to verify it. Through the verification of the model, it is concluded that the line and the operational service factors have a positive impact on the degree of rapid response of the bus, the line factor has a positive impact on the operational service effect, the convenience factor has a positive impact on the operational service factor and the passenger satisfaction is undervaluation.