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A Fuzzy Association Rules Mining Analysis of the Influencing Factors on the Failure of oBike in Taiwan

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  • Shianghau Wu

    (School of Business, Macau University of Science and Technology, Macau 999079, China)

Abstract

The sharing economy has become an important issue in recent years. Many researchers have paid attention to its application around the world. The sharing of bikes, as one of the major applications of the sharing economy, has shown its advantage in the realm of environmental protection and low energy consumption. However, bike-sharing system has encountered problems in certain regions. This arouses the concern about the sustainable development of the bike-sharing system. This research focused on the failure case of oBike in Taiwan. This research used text mining and fuzzy association rules mining methods to evaluate Taiwan’s public opinion about the oBike in order to verify the reasons for oBike’s failure in Taiwan. This study also made a comparison between the bike-sharing system in Mainland China and Taiwan. The research results explored the factors of oBike’s failure in Taiwan and showcased the problems of bike-sharing systems in different regions. The research results also offer useful information for bike-sharing companies and the authorities concerned in order to develop a sustainable bike-sharing system.

Suggested Citation

  • Shianghau Wu, 2020. "A Fuzzy Association Rules Mining Analysis of the Influencing Factors on the Failure of oBike in Taiwan," Mathematics, MDPI, vol. 8(11), pages 1-18, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:1908-:d:438342
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    References listed on IDEAS

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    1. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    2. Moro, Sérgio & Rita, Paulo & Vala, Bernardo, 2016. "Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach," Journal of Business Research, Elsevier, vol. 69(9), pages 3341-3351.
    3. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    4. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    5. Antonina Kloptchenko & Tomas Eklund & Jonas Karlsson & Barbro Back & Hannu Vanharanta & Ari Visa, 2004. "Combining data and text mining techniques for analysing financial reports," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 12(1), pages 29-41, January.
    6. Laa, Barbara & Emberger, Günter, 2020. "Bike sharing: Regulatory options for conflicting interests – Case study Vienna," Transport Policy, Elsevier, vol. 98(C), pages 148-157.
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    Cited by:

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