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A Quantitative Study on Factors Influencing User Satisfaction of Micro-Mobility in China in the Post-Sharing Era

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  • Wenting Cheng

    (School of Industrial Design, Sino-German Industrial Design Innovation Research School, Hubei University of Technology, Wuhan 430068, China)

  • Jierui Yang

    (School of Industrial Design, Sino-German Industrial Design Innovation Research School, Hubei University of Technology, Wuhan 430068, China)

  • Xiaoxuan Wu

    (School of Industrial Design, Sino-German Industrial Design Innovation Research School, Hubei University of Technology, Wuhan 430068, China)

  • Tengteng Zhang

    (School of Industrial Design, Sino-German Industrial Design Innovation Research School, Hubei University of Technology, Wuhan 430068, China)

  • Zhelin Yin

    (School of Industrial Design, Sino-German Industrial Design Innovation Research School, Hubei University of Technology, Wuhan 430068, China)

Abstract

In the post-sharing era, the evolution of the shared micro-mobility industry has transitioned from expanding market share to providing precise services. The focus on user satisfaction has shifted from a singular emphasis on functional utility to diversified product values. Product perceived value has emerged as a comprehensive factor for enhancing user satisfaction, aiding companies in formulating precise services, mitigating urban resource wastage, and promoting sustainable urban development. From the perspective of product perceived value, this study combined the analysis of factors affecting user satisfaction of shared micro-mobility and the interaction between these aspects and carried out the following two studies. Research No. 1: By mining the user review data on app platforms related to shared micro-mobility and adopting the latent dirichlet allocation (LDA) algorithm, we have initially identified 17 major factors affecting the satisfaction of users and summarized these factors into four research topics constituting product perceived value. Research No. 2: On the basis of Research No. 1, the content of the American Customer Satisfaction Index (ACSI) was expanded, and a user satisfaction research model focusing on the perceived value of shared micro-mobility products was constructed. Afterwards, by using the data collected in questionnaire surveys, structural equation modeling (SEM) was used to model the user satisfaction of shared micro-mobility through SEM, which was deployed to establish an empirical analysis. It is found that (1) both user expectation and product quality can positively affect the perceived value of products through interactive experience; (2) factors such as user expectation, product quality, interactive experience, and subjective consciousness can positively affect user satisfaction through the perceived value of products, with user expectation delivering the greatest influence; and (3) subjective consciousness has a direct positive effect on users’ willingness to continuously use a product but no significant effect on user satisfaction. These findings expand the user satisfaction theoretical model in the field of shared micro-mobility, constitute suggestions for product development and service promotion in the shared micro-mobility industry, and can provide new ideas and methods for the sustainable development of urban transportation.

Suggested Citation

  • Wenting Cheng & Jierui Yang & Xiaoxuan Wu & Tengteng Zhang & Zhelin Yin, 2024. "A Quantitative Study on Factors Influencing User Satisfaction of Micro-Mobility in China in the Post-Sharing Era," Sustainability, MDPI, vol. 16(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1637-:d:1339963
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    References listed on IDEAS

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    1. Ahmad Nazrul Hakimi Ibrahim & Muhamad Nazri Borhan & Muhamad Razuhanafi Mat Yazid & Sitti Asmah Hassan & Ahmad Firdhaus Arham & Sharizal Hashim, 2023. "Modelling of Passenger Satisfaction and Reuse Intention with Monorail Services in Kuala Lumpur, Malaysia: A Hybrid SEM-ANN Approach," Mathematics, MDPI, vol. 11(15), pages 1-21, August.
    2. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    3. Bretones, Alexandra & Marquet, Oriol, 2022. "Sociopsychological factors associated with the adoption and usage of electric micromobility. A literature review," Transport Policy, Elsevier, vol. 127(C), pages 230-249.
    4. Chen, Ching-Fu & Chen, Fu-Shian, 2010. "Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists," Tourism Management, Elsevier, vol. 31(1), pages 29-35.
    5. Gavriel Meirovich & Myunghee Mindy Jeon & Linda Jane Coleman, 2020. "Interaction of normative and predictive expectations in customer satisfaction and emotions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(2), pages 69-84, June.
    6. Agyeman, Stephen & Cheng, Lin, 2020. "Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes," Transport Policy, Elsevier, vol. 99(C), pages 63-85.
    7. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    8. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.
    9. Guo, Xingtong & Lee, Kyumin & Wang, Zhe & Liu, Shichao, 2021. "Occupants’ Satisfaction with LEED- and Non-LEED-Certified Apartments Using Social Media Data," OSF Preprints 8q4zt, Center for Open Science.
    10. Dan Chen, 2023. "How Visitors Perceive Heritage Value—A Quantitative Study on Visitors’ Perceived Value and Satisfaction of Architectural Heritage through SEM," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
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