详细信息

A Design Method for Shared Two-Wheeled Electric Scooters (STWESs), Integrating Context Theory and Kansei Engineering  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:A Design Method for Shared Two-Wheeled Electric Scooters (STWESs), Integrating Context Theory and Kansei Engineering

作者:Ye, Junnan[1];Gou, Yeping[1];Liang, Haoyue[1];Yuan, Feifan[1];Yang, Chaoxiang[1]

机构:[1]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China

年份:2025

卷号:17

期号:8

外文期刊名:SUSTAINABILITY

收录:;WOS:【SSCI(收录号:WOS:001475851700001),SCI-EXPANDED(收录号:WOS:001475851700001)】;

基金:This research was funded by Humanities and Social Sciences Research Planning Youth Fund project of Ministry of Education of China (23YJC760144), Project supported by Shanghai Summit Discipline in Design (DC19301), The Fundamental Research Funds for the Central Universities of China (JKZ01212202, JKZ022023001), Sponsored by Shanghai Pujiang Program (2020PJC025), The Generative Design Talent Studio Project for Colleges and Universities of Shanghai Municipal Education Commission (SZ2409Z0001).

语种:英文

外文关键词:shared travel; electric scooter; context theory; Kansei engineering; quantitative theory type I; product design

摘要:Consumer attitude shift and green transport advocacy in the sharing economy highlight shared two-wheeled electric scooters (STWESs) for short-distance commuting. Current designs often overlook user emotions and aesthetic alignment with product characteristics. A product design methodology is proposed in this study, constructing optimization models from both the functional experiential and perceptual visual layers. Utilizing context analysis theory (CAT) and the KANO model, an STWES contextual requirements optimization model is formulated. The expert method is then applied to identify five key design elements, generating a category diagram based on typical samples, followed by Kansei evaluation. Using quantitation theory type I (QT-1), regression equations are fitted to determine the impact of different design categories on Kansei evaluation. Illustrated in a campus setting, this approach optimizes the shared mobility experience, meeting college students' aesthetic preferences. This method serves as a valuable reference for product design in diverse contexts.

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