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Analysis of user satisfaction of shared bicycles based on SEM

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Abstract

As the ideal transportation mode for the last mile trips of the residents in the city, shared bicycles are becoming more and more popular, and the market of the shared bicycles is experiencing rapid development. The explosive growth of shared bicycles brings many conveniences but also issues. There are many shared bicycles illegally parked around the areas where people are concentrated, which not only caused huge traffic impact, but also affected the normal life of urban residents seriously. Although there have been many studies on public bicycles before, the research on shared bicycles is scattered, fragmented, and there are few quantitative studies. To explore the current operation status of shared bicycle, the cause of the problem, management methods, and provide practical suggestions and opinions on the future operation and development of shared bicycles in the city, after investigating the shared bicycle travel data in Yangpu District, Shanghai, the data obtained is summarized and analyzed with the statistical methods. AMOS and SPSS22.0 are used to analyze the data in depth in this paper. Also, with the establishment of hypothesis, a path diagram and structural equation model is proposed, and path coefficient is calculated. The model is identified, evaluated, and corrected. The extent of the influence of the factors on user satisfaction of the shared bicycle is determined. All the latent variables proposed in this paper passed the significance test. Moreover, there are significant positive correlations between various factors analyzed in this paper and user satisfaction of shared bicycles.

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Acknowledgements

This work was supported in part by the Humanities and Social Sciences Cultivation Fund Project of University of Shanghai for Science and Technology: SK18YB14.

Funding

This work was funded by National Natural Science Foundation of China Grant numbers 61772454, 61811530332, 61811540410.

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Authors and Affiliations

  1. Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Xiaomei Xia & Huipeng Jiang

  2. Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410004, China

    Jin Wang

  3. School of Information Science and Engineering, Fujian University of Technology, Fujian, 350118, China

    Jin Wang

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  1. Xiaomei Xia
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Correspondence to Jin Wang.

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Xia, X., Jiang, H. & Wang, J. Analysis of user satisfaction of shared bicycles based on SEM. J Ambient Intell Human Comput 13, 1587–1601 (2022). https://doi.org/10.1007/s12652-019-01422-y

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