This paper analyzes the impact of COVID-19 on the transportation sector and subsequent implications on the sectoral energy savings and greenhouse gas emissions in some selected cities worldwide. A model for smart transportation is proposed by considering four indicators, including transport efficiency, technology integration, traffic congestion rate, and accessibility ratio. While prior health crises, such as SARS, impacted the transportation sector, the COVID-19 pandemic is unprecedented, resulting in exceptional impacts on this sector. Canadian Civil Aviation activities dropped by 71%, compared to business as usual, whereas military aviation activities declined by 27%. As of the end of June 2020, cities with higher than 50% mobility index include Brussels, Singapore, Stockholm, Lyon, Paris, Moscow, and Hong Kong with the highest mobility index of 76%. American cities have the lowest mobility indexes as of the end of June with mobility indexes lower than 20%. It is expected and reasonable to assume that the public's response to COVID-19 will exceed that of SARS. While Britons and Canadians are the biggest supporters of keeping the economy and businesses shut until COVID-19 is fully contained, the Chinese, Russians, Indians, and Italians find it vital to restart the economy regardless. Results show that the majority of the world is in a state of mental distress and will face nervousness and anxiety issues post-COVID-19. This sentiment is strongest in India, Japan, China, the U.K., Brazil and Canada, ranging between 68% and 78%. The trucking industry is the main contributor to the greenhouse gas (GHG) emissions of the Canadian transportation sector, accounting for more than 62% of the total emissions in 2019. https://www.selleckchem.com/products/rp-6306.html Given the impact of COVID-19, forecasted GHG emissions of the Canadian transportation sector for 2020is evaluated to be 93 megatonnes of carbon dioxide equivalents.This study explores the dynamics of energy use patterns, climate change issues and the relationship between social-psychological factors, with residents' acceptance of and willingness to pay (WTP) for home energy management systems (HEMS) during the COVID-19 pandemic in New York. The results of our survey suggest that there were no longer morning or evening usage peaks on weekdays, and a significant portion of respondents are experiencing higher or much higher electricity use than average. Most residents' perception of climate change issues during COVID-19 remained unchanged. Attitude, perceived behavioral control, and social norms are overall the strongest predictors of adoption intention and WTP for HEMS. Regarding WTP for specific well-being features, attitude was the strongest positive predictor of telemedical and home security features, and social norms are the strongest positive predictor of elderly assistance and job search. Technology anxiety, surprisingly, positively influences WTP for the well-being features. Trust in utilities is not related to adoption intention, but is positively associated with WTP for the well-being features. Although cybersecurity concerns are positively associated with HEMS adoption intention for energy and well-being features, this relationship is not significant in WTP. Residents who had moderate perceived risk of getting COVID-19 are willing to pay more than the high- and low-risk groups. This paper addresses the interactions among technology attributes, and users' social-psychological and demographics factors. Additionally, this study provides insights for further research in examining technology adoption and energy dynamics during times of crises, such as the COVID-19.In this perspectives piece, an interdisciplinary team of social science researchers considers the implications of Covid-19 for the politics of sustainable energy transitions. The emergency measures adopted by states, firms, and individuals in response to this global health crisis have driven a series of political, economic and social changes with potential to influence sustainable energy transitions. We identify some of the initial impacts of the 'great lockdown' on sustainable and fossil sources of energy, and consider how economic stimulus packages and social practices in the wake of the pandemic are likely to shape energy demand, the carbon-intensity of the energy system, and the speed of transitions. Adopting a broad multi-scalar and multi-actor approach to the analysis of energy system change, we highlight continuities and discontinuities with pre-pandemic trends. Discussion focuses on four key themes that shape the politics of sustainable energy transitions (i) the short, medium and long-term temporalities of energy system change; (ii) practices of investment around clean-tech and divestment from fossil fuels; (iii) structures and scales of energy governance; and (iv) social practices around mobility, work and public health. While the effects of the pandemic continue to unfold, some of its sectoral and geographically differentiated impacts are already emerging. We conclude that the politics of sustainable energy transitions are now at a critical juncture, in which the form and direction of state support for post-pandemic economic recovery will be key.In many countries, the lock-down due to the COVID-19 pandemic triggered discussions on the use of digital interaction formats for academic exchange. The pace with which researchers adopted digital formats for conferences, lectures, and meetings revealed that currently available tools can substitute many of the physical interactions in the workplace. It also showed that academics are willing to use digital tools for scientific exchange. This article sheds light on scholars' experiences with digital formats and tools during the pandemic. We argue that digital interaction formats increase the inclusivity of knowledge exchange, reduce time and costs of organizing academic interactions, and enable more diverse workspaces with geographical and temporal flexibility. However, we also observe that digital interaction formats struggle to reproduce social interactions such as informal discussions, raise new concerns on data security, and can induce higher stress levels due to the blurring of the boundaries between work and private spaces.