| dc.description.abstract | In a time where emerging technologies bundled within "smart mobility" represent a new transformation of urban mobility, the practitioners and policymakers must act pro-actively to increase its acceptance among citizens. Smart mobility, largely reliant on — vast numbers of internet of things (IoT) devices, communication technology (ICT), and personal data — can raise privacy concerns. Despite increased studies on privacy concerns in other contexts, there has been little study on how various factors are related to the adoption of new technology in smart mobility. To this end and meaningful insights, this study applies a mixed-method approach to qualitative and quantitative data produced from a case study of the city of Stavanger in Norway. It draws on literature review, qualitative analysis, and quantitative analysis with urban dwellers in a smart city to develop a theoretical model integrating variables related to the user's intention to use smart mobility. The aim here is essentially to understand relationships that predict user's intention to use smart mobility. The research shows that trust and perceived risk of location information directly affect users' intention to use.
In comparison, privacy concerns have much less implication on user's intention to use smart mobility. Instead, perception of trust is the crucial determinant of their willingness to use. In par-ticular, trust is fundamental to smart mobility service presents a pivotal driver to accelerate the digitalized transition in urban mobility. Hence, the researcher suggests that building up a trust mechanism may be cost-efficient to accelerate the transition. Norway can serve as a prototype to study the trust mechanism. The instruments and model developed in this study can help advance such a purpose. | |
