Izvorni znanstveni članak
https://doi.org/10.7307/ptt.v38i6.1292
Fire Video Interventions Reshape Electric Bicycle User Needs – A Three-Phase Identification, Prioritisation and Guidance Framework
Yu Lin
; Hangzhou International Innovation Institute, Beihang University, Hangzhou, China
Yongxing Li
orcid.org/0000-0002-3786-8730
; College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
Dongxu Chen
; Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
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* Dopisni autor.
Sažetak
The global proliferation of electric bicycles (EBs) marks a significant advancement in sustainable urban transportation. However, two critical barriers impede EB’s full societal integration: insufficient analysis of user needs and fire safety risks exacerbated by inadequate risk awareness. To address the above challenges, this study proposes a three-phase approach integrating user needs identification, quantitative prioritisation and risk-aware guidance to promote safer EB design practices. We establish an integrated analytical framework combining quality function deployment (QFD) with the fuzzy best-worst method (F-BWM) to achieve the first two phases-identification and quantitative prioritisation of user needs. For the third phase, we design and implement an innovative video-based guidance framework as an effective risk communication strategy, specifically targeting the enhancement of fire safety considerations during EB selection processes. Findings indicate: (1) six primary EB user needs are identified: battery and charging, handling performance, safety and security, comfort and convenience, technology and connectivity, and appearance design. (2) “Battery and charging” and “safety and security” emerge as the highest-priority EB user needs. (3) The video intervention yielded a measurable 27.73% increase in the perceived importance of fire-related features. This study provides theoretical foundations for user-centred EB design approaches.
Ključne riječi
EB user needs; user-centred approach; quality function deployment (QFD); best-worst method (BWM); video-based guidance framework
Hrčak ID:
348615
URI
Datum izdavanja:
29.6.2026.
Posjeta: 0 *