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Title	Speculative Design For Sustainable Urban Mobility: E-Bike Futures And Data-Driven Innovation
ID_Doc	52737
Authors	Wang R.S.-M.; Liao Y.-C.; Feng T.-H.; Srisung N.; Chang C.-Y.; Lung C.-H.
Year	2024
Published	Proceedings of Science, 458
DOI	http://dx.doi.org/10.22323/1.458.0040
Abstract	This research explores the integration of speculative design within Taipei's public bicycle service to propel the achievement of net-zero emission strategies and Sustainable Development Goals (SDGs). It introduces a sustainable energy model tailored to enhance the public bicycle system amid rising global environmental challenges. Using the User Experience Questionnaire (UEQ) and the System Usability Scale (SUS), the study evaluates Taipei's YouBike 2.0 service and its associated apps, revealing a positive reception but noting a preference for enjoyment over practical utility and room for improvement in app perception. Further, it presents a pilot survey leveraging data-driven micro-electricity generation technology in urban infrastructure, integrating cutting-edge technologies like AI and real-time data to foster sustainable urban mobility. The research culminates in speculative design scenarios that envision future e-bike systems seamlessly integrated into smart city networks, suggesting a transformative role for e-bikes in urban transport sustainability. © Copyright owned by the author(s)
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