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

Junnan Ye, Yeping Gou, Haoyue Liang, Feifan Yuan and Chaoxiang Yang ()
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Junnan Ye: School of Art Design and Media, East China University of Science and Technology, Shanghai 200237, China
Yeping Gou: School of Art Design and Media, East China University of Science and Technology, Shanghai 200237, China
Haoyue Liang: School of Art Design and Media, East China University of Science and Technology, Shanghai 200237, China
Feifan Yuan: School of Art Design and Media, East China University of Science and Technology, Shanghai 200237, China
Chaoxiang Yang: School of Art Design and Media, East China University of Science and Technology, Shanghai 200237, China

Sustainability, 2025, vol. 17, issue 8, 1-23

Abstract: 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.

Keywords: shared travel; electric scooter; context theory; Kansei engineering; quantitative theory type I; product design (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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