• Energy Research
• Open Access close
• Restricted close
• 3. Good health close
• COVID-19 close

The COVID-19 pandemic has tremendously affected the whole of human society worldwide. Travel patterns have greatly changed due to the increased risk perception and the governmental interventions regarding COVID-19. This study aimed to identify contributing factors to the changes in public and private transportation mode choice behavior in China after COVID-19 based on an online questionnaire survey. In the survey, travel behaviors in three periods were studied: before the outbreak (before 27 December 2019), the peak (from 20 January to 17 March 2020), and after the peak (from 18 March to the date of the survey). A series of random-parameter bivariate Probit models was developed to quantify the relationship between individual characteristics and the changes in travel mode choice. The key findings indicated that individual sociodemographic characteristics (e.g., gender, age, ownership, occupation, residence) have significant effects on the changes in mode choice behavior. Other key findings included (1) a higher propensity to use a taxi after the peak compared to urban public transportation (i.e., bus and subway); (2) a significant impact of age on the switch from public transit to private car and two-wheelers; (3) more obvious changes in private car and public transportation modes in more developed cities. The findings from this study are expected to be useful for establishing partial and resilient policies and ensuring sustainable mobility and travel equality in the post-pandemic era.

The social confinement resulting from the COVID-19 crisis temporarily reduced greenhouse gas emissions. Although experts contend that the decrease in pollution rates was not drastic, some surveys detect growth in social concern about the climate. In this new climate-conscious environment, municipalities and local governments are promoting a new way of living and caring for cities, even before they can regain national and international freedom of movement. This work analyzes the connections between new climate awareness arising from the COVID-19 crisis, proposals of sustainable citizenship around the world, and its communication on Twitter to educate the new eco-conscious audience. The methodology mixes quantitative and qualitative analysis, using the Twitonomy Premium tool and the Twitter research tool with data extracted at the end of December 2020. Among the top ten most influential and active accounts, the results show educational institutions, local institutions, companies, neighborhoods, associations, and influencers. The impossibility of living in the city has not prevented citizen education and commitment to make real change for when that city and its citizens return to normality. However, this new normality must be different: more ecological, more responsible, more sustainable, and practiced from early childhood.

Background: At the beginning of 2020, the Covid-19 pandemic attacked the world and affected the continuity of the world economy. This condition also causes oil prices to decline further. OPEC plans a strategy to realize its role as a regulator of the world oil trade. Not only the global economy but the stock market is also affected by the decline in oil prices. Production of shale oil in the United States lowered OPEC oil prices, coupled with economic conditions during the Covid-19 pandemic which worsened the international economy. Aim: The authors examined changes in oil prices due to United States’ shale oil. Method: The qualitative method and literature review were employed in this study. The information was compiled from a variety of documents and other sources. Findings: The United States reduced its reliance on OPEC imports, which resulted in lower OPEC oil prices due to an oversupply and decreasing demand. Along with the Covid-19 epidemic, not only is the global economic collapse growing worse, but the decrease in oil prices in early 2020 is getting worse as well. Finally, the world economy suffered a downturn, which impacted the international capital market.

COVID-19 pandemic has brought tremendous environmental burden due to huge amount of medical wastes (about 54,000 t/d as of November 22, 2020), including face mask, gloves, clothes, goggles, and sanitizer/disinfectant containers. A proper waste management is urgently required to mitigate the spread of the disease, minimize the environmental impacts, and take their potential advantages for further utilization. This work provides a prospective review on the possible thermochemical treatments for those COVID-19 related medical wastes (CMW), as well as their possible conversion to fuels. The characteristics of each waste are initially analyzed and described, especially their potential as energy source. It is clear that most of CMWs are dominated by plastic polymers. Thermochemical processes, including incineration, torrefaction, pyrolysis, and gasification, are reviewed in terms of applicability for CMW. In addition, the mechanical treatment of CMW into sanitized refuse-derived fuel (SRDF) is also discussed as the preliminary stage before thermochemical conversion. In terms of material flexibility, incineration is practically applicable for all types of CMW, although it has the highest potential to emit the largest amount of CO2 and other harmful gasses. Furthermore, gasification and pyrolysis are considered promising in terms of energy conversion efficiency and environmental impacts. On the other hand, carbonization faces several technical problems following thermal degradation due to insufficient operating temperature.

Description of the four files: contacts.xlsx List of detected contacts for the three case studies pymol_files_case_study_1.zip Contains files in PDB format of the analyzed structures, and files in PML format used to display visualizations in the PyMOL tool for the case study 1: comparison between contacts of myoglobin against hemoglobin pymol_files_case_study_2.zip Contains files in PDB format of the analyzed structures, and files in PML format used to display visualizations in the PyMOL tool for the case study 2: comparison between contacts of RBDs of SARS-CoV-1 vs. SARS-CoV-2 both complexed with the cell receptor ACE2 pymol_files_case_study_3.zip Contains files in PDB format of the analyzed structures, and files in PML format used to display visualizations in the PyMOL tool for the case study 3: comparison between contacts of glucose-tolerant vs. non-tolerant β-glucosidases

This research investigates the impact of the COVID-19 pandemic on foreign direct investment. This research also studies the impact of the COVID-19 pandemic on the relationship between foreign direct investment (FDI) and the gross domestic product (GDP). This research employs a local projection estimation to calculate the effect of the COVID-19 pandemic on foreign direct investment. The panel vector autoregression is applied to estimate the impact of the COVID-19 pandemic on the relationship between FDI and GDP. This research finds variations in the impacts of the COVID-19 pandemic on FDI among economic sectors in Indonesia. Moreover, the relationship between FDI and GDP is affected by the COVID-19 pandemic.

The COVID-19 pandemic as a disruptive event was initially considered an opportunity for a transformation towards more sustainable lifestyles. In two telephone surveys with more than 1000 participants each, we explored in October 2020 and May 2021 how people in Germany experienced the COVID-19 related situation, and in particular the lockdown restrictions. Specifically, we asked how they felt their lives had been impaired during the pandemic; which changes they had experienced as particularly bothersome; which ones they perceived to be beneficial; and how these perceptions related to either their urge to return to “normal” or, in contrast, to their openness towards lifestyle changes. Overall, we found that by 2021, the pandemic had impacted people more negatively than in 2020. Most respondents missed social contacts, traveling and cultural events. Some positive changes – e.g., spending less money for useless things – were mentioned as well. A third of the participants agreed that they would like to question their behavior before the pandemic and live more consciously. Apart from slight differences in gender, age and, most importantly, academic background, socio-economic characteristics hardly help explain why some people were more open to change than others. Therefore, we conducted a cluster analysis and found that respondents with stronger pro-environmental attitudes were more open to change, no matter how much they felt impacted by the pandemic. This finding indicates that pro-environmental values and education seem to be key for more ecologically responsible lifestyle choices. We herewith provide the original questionnaires and datasets of the surveys.

{"references": ["Liu, Z., Ciais, P., Deng, Z., Lei, R., Davis, S. J., Feng, S., Zheng, B., Cui, D., Dou, X., Zhu, B., Guo, R., Ke, P., Sun, T., Lu, C., He, P., Wang, Y., Yue, X., Wang, Y., Lei, Y., Zhou, H., Cai, Z., Wu, Y., Guo, R., Han, T., Xue, J., Boucher, O., Boucher, E., Chevallier, F., Tanaka, K., Wei, Y., Zhong, H., Kang, C., Zhang, N., Chen, B., Xi, F., Liu, M., Br\u00e9on, F.-M., Lu, Y., Zhang, Q., Guan, D., Gong, P., Kammen, D. M., He, K. & Schellnhuber, H. J. (2020). Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic. Nature Communications 11, 5172 (2020). https://doi.org/10.1038/s41467-020-18922-7", "Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J. S., Kainuma, M. L. T., Lamarque, J. F., Matsumoto, K., Montzka, S. A., Raper, S. C. B., Riahi, K., Thomson, A., Velders, G. J. M., & van Vuuren, D. P. (2011). The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change, 109(1\u20132), 213\u2013241. https://doi.org/10.1007/s10584-011-0156-z", "Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P. & Wilbanks, T. J. (2010). The next generation of scenarios for climate change research and assessment. Nature, 463(7282), 747\u2013756. https://doi.org/10.1038/nature08823", "Myhre, G., Highwood, E. J., Shine, K. P., & Stordal, F. (1998). New estimates of radiative forcing due to well mixed greenhouse gases. Geophysical Research Letters, 25(14), 2715\u20132718. https://doi.org/10.1029/98gl01908", "Strassmann, K. M. and Joos, F. (2018). The Bern Simple Climate Model (BernSCM) v1.0: an extensible and fully documented open-source re-implementation of the Bern reduced-form model for global carbon cycle\u2013climate simulations, Geosci. Model Dev., 11, 1887\u20131908, https://doi.org/10.5194/gmd-11-1887-2018", "Thomas, M. A., and Lin, T. (2018). A dual model for emulation of thermosteric and dynamic sea-level change. Climatic Change, 148(1\u20132), 311\u2013324. https://doi.org/10.1007/s10584-018-2198-y"]} Supplementary materials for Gonzalez, A. R., & Lin, T. (2022). Translated Emission Pathways (TEPs): Long-Term Simulations of COVID-19 CO2 Emissions and Thermosteric Sea Level Rise Projections. Earth's Future. In Press. Summary: This study introduces climate science to a broader audience by presenting an accessible research framework and environmental data related to the ongoing COVID-19 pandemic. A series of translated emission pathways (TEPs) were constructed based on the CO2 emission patterns from the various phases of COVID-19 response. In addition to resembling the forcing scenarios used within climate research, a thermosteric sea level rise analysis was incorporated to further emphasize the environmental benefits that can be obtained from long-term sustainability. As a promising start for including the general public in climate change discussion, this research promotes collective environmental action that mirrors the recommendations of the scientific community. We acknowledge the Carbon Monitor initiative (Liu et al., 2020) for providing the COVID-19 CO2 sectoral emission data used to construct the proposed TEPs. In addition, we acknowledge the developers of the BernSCM (Strassmann and Joos, 2018) that was utilized in this study to relate TEP CO2 emissions to their respective CO2 atmospheric concentrations. Furthermore, we thank the Texas Tech University McNair Scholars Program and the Multi-Hazard Sustainability (HazSus) research group for guidance and support throughout the course of this study. Analyses presented herein were performed using the RedRaider computing cluster at Texas Tech University. We thank the team at the High Performance Computing Center (HPCC) for their generous support. In addition, the equipment support from the Vice President for Research & Innovation for T.L.'s HazSus Research Group is gratefully acknowledged.