Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

A study on Online Dating Satisfaction of University Students in Kunming Based on Structural Equation Modeling

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350152,
        author={Hong  Shi and Guangmin  Yang},
        title={A study on Online Dating Satisfaction of University Students in Kunming Based on Structural Equation Modeling},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={internet taxi; questionnaire survey; passenger satisfaction; structural equation modeling},
        doi={10.4108/eai.24-5-2024.2350152}
    }
    
  • Hong Shi
    Guangmin Yang
    Year: 2024
    A study on Online Dating Satisfaction of University Students in Kunming Based on Structural Equation Modeling
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350152
Hong Shi1,*, Guangmin Yang1
  • 1: Department of Southwestern Forestry University, Kunming, China
*Contact email: 2594108739@qq.com

Abstract

With the rapid development of the sharing economy, Net job passenger satisfaction has received attention from a wide range of scholars as well as customers. China's online car users are mainly concentrated in young people's groups, and college students, as a part of them, have a higher demand for online car. This paper takes university students in Kunming City as the survey object, and analyzes the passenger satisfaction with internet dating through questionnaire survey in terms of comfort, economy, reliability, convenience and safety. By constructing a structural equation model, the results show that the comfort, economy, reliability, convenience and safety of online car service have a greater correlation with satisfaction, and these findings are helpful for us to put forward suggestions to improve passenger satisfaction from multiple perspectives in a targeted way, for the reference of car companies and drivers, and to be applied in reality.