P Jing, G Xu, Y Chen, Y Shi, F Zhan - Sustainability, 2020 - mdpi.com
Excessive dependence on autonomous vehicles (AVs) may exacerbate traffic congestion and increase exhaust emissions in the future. The diffusion of AVs may be significantly …
Transformer, an attention-based encoder–decoder model, has already revolutionized the field of natural language processing (NLP). Inspired by such significant achievements, some …
JJ Kim, I Kim, J Hwang - International journal of hospitality management, 2021 - Elsevier
This study aims to identify how behavioral intentions are formed in the context of drone food delivery services using the moderating role before and after the outbreak of COVID-19. A …
Fully autonomous vehicles (AV) would potentially be one of the most disruptive technologies of our time. The extent of the prospective benefits of AVs is strongly linked to how widely they …
Creating sustainable urban futures partly requires reducing car-use and transport induced stresses on the environment and society. New transport technologies such as autonomous …
Today's societies consider the transportation sector as a key component of the economy that contributes significantly to sustainability and global economic development. However, the …
This paper presents the results of a systematic review that analysed the literature on factors influencing societal acceptance and stakeholders' perceptions of hydrogen related …
Automated vehicle acceptance (AVA) is a necessary condition for the realisation of higher- level objectives such as improvements in road safety, reductions in traffic congestion and …
Purpose Prior studies in the context of electronic money have examined the effect of social pressure [subjective norm (SN)] on usage intention, but the results are found inconclusive …