Who buys new energy vehicles in china? Assessing social-psychological predictors of purchasing awareness, intention, and policy. Transportation Research Part F Traffic Psychology and Behaviour, 58. pp. 56-69.

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Studies of sustainable urban infrastructure are expanding since the United Nations proposed the concept of sustainability in 1982. The need for more sustainable urban infrastructures led to many research efforts on innovative technologies and development strategies. We analyzed research progress on sustainable urban infrastructure from 1991 to 2017 using bibliometric, keyword co-occurrence and document cocitation network analysis. An increasing publication number suggests a rapid development of the sustainable urban infrastructure research area, but the development is still in an emerging stage. With respect to the analysis of research themes, we analyzed keyword co-occurrence networks in the three stages of . We observed substantial expansions and intensive interconnections of research theme clusters on sustainable urban infrastructure. The themes from 2009 to 2017 include "critical infrastructure," "urban planning and design," "development need," "technology innovation," and "cyber-physical system." The United States produced 28.93% of the publications and played a core role in the international collaboration network. We further compared national interests among top productive countries, which highlights different priorities of investing more sustainable urban infrastructures. Finally, we presented an in-depth analysis of four emerging technology innovations, namely, renewable energy, smart grid, green infrastructure, and cloud computing regarding research directions and challenges. Our results not only provide a valuable reference for researchers who are interested in sustainable urban infrastructures but also put forward the emphasis and orientations of future studies.Plain Language Summary More than a half of world population are currently living in urban areas for decent work and high-quality services. How we develop cities and infrastructures affects resource needs, quality of life, and the impact of natural environment. Considering the increasing pressure from resource depletion, ecosystem degradation, and climate change, it is critical and urgent to foresee what future cities and infrastructures should be and the gaps we should overcome. Our study provided an overview for a broad audience to recognize the current research progress of sustainable urban infrastructure. Our study shows that this topic is still in an emerging stage with a steady growth of publications. The research themes have expanded dramatically to cover critical infrastructure, development need, technological innovation, urban planning design, and cyber-physical system. United States is currently leading this research area, but countries have their own interests in sustainable urban infrastructure depending on economic development. In the end, we provided an in-depth analysis about renewable energy, smart grid, green infrastructures, and cloud computing in terms of research themes and challenges. The testing and validation of these technologies will be required that can fulfill the complex needs of urban citizens in a sustainable and rel...

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Facial expression synthesis or editing has recently received increasing attention in the field of affective computing and facial expression modeling. However, most existing facial expression synthesis works are limited in paired training data, low resolution, identity information damaging, and so on. To address those limitations, this paper introduces a novel Action Unit (AU) level facial expression synthesis method called Local Attentive Conditional Generative Adversarial Network (LAC-GAN) based on face action units annotations. Given desired AU labels, LAC-GAN utilizes local AU regional rules to control the status of each AU and attentive mechanism to combine several of them into the whole photo-realistic facial expressions or arbitrary facial expressions. In addition, unpaired training data is utilized in our proposed method to train the manipulation module with the corresponding AU labels, which learns a mapping between a facial expression manifold. Extensive qualitative and quantitative evaluations are conducted on commonly used BP4D dataset to verify the effectiveness of our proposed AU synthesis method.