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Research on the Influence of Wheelsets on the Visual Imagery of City Bicycles

Author

Listed:
  • Fan Wu

    (Department of Industrial Design, National Cheng Kung University, Tainan 70101, Taiwan)

  • Peng Lu

    (Department of Industrial Design, National Cheng Kung University, Tainan 70101, Taiwan
    Department of Industrial Design, Xi’an Academy of Fine Arts, Xi’an 710000, China)

  • Yang-Cheng Lin

    (Department of Industrial Design, National Cheng Kung University, Tainan 70101, Taiwan)

Abstract

City bicycles have become popular worldwide because they play an essential role in releasing urban traffic congestion and are environmentally friendly. Since wheelsets are the most prominent shape element in a bicycle, this research explores the influence of various wheel types on the visual image of a city bicycle. First, 10 wheelsets with a high market share in China were selected as the research samples. Meanwhile, vocabularies suitable for describing wheelsets were chosen from many vocabularies. Then, all vocabularies were summarized into six adjectives using factor analysis, and consumers were invited to evaluate all samples using the grouped adjectives. Finally, triangular fuzzy numbers were used to obtain the evaluation scores of 10 wheelsets on six adjectives, and the 10 wheelsets were divided into four groups based on the evaluation scores. The results show that the visual imagery evaluation of the 10 wheelsets had a significant difference in the “trimmed and stable”, “superior and presentable”, and “holistic and balanced” groups, but a slight difference in “novel and individualized”, “rhythmic and metrical”, and “mechanical and ordered.” The research results could serve as a reference for city bicycle operators and help improve product development efficiency, thereby promoting the sustainable development of city bicycles.

Suggested Citation

  • Fan Wu & Peng Lu & Yang-Cheng Lin, 2022. "Research on the Influence of Wheelsets on the Visual Imagery of City Bicycles," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2762-:d:759449
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    References listed on IDEAS

    as
    1. Hongping Wang & Xi Lu & Yuxian Du & Chenwei Zhang & Rehan Sadiq & Yong Deng, 2017. "Fault tree analysis based on TOPSIS and triangular fuzzy number," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 2064-2070, December.
    2. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
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