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Global crises such as climate change and the COVID-19 pandemic do not affect cities uniformly. These crises converge in urban areas and often interact through their primary and secondary impacts with the vulnerability of urban populations. This paper investigates urban development dynamics and socio-environmental vulnerability in a megalopolis in the Global South, São Paulo (Brasil). Our goal is to assess the connections between urbanisation and risk exposure, a gap in vulnerability research when considering climate and health hazards. We implement an innovative mixed methods research design using thematic, hot spots, and survival analysis techniques. Two focus groups at the central and peripheral regions of the city provide qualitative data, while open data sets and COVID-19 case microdata (n= 1,948,601) support the quantitative methods. We find a complex system of relationships between urbanisation and risk exposure. Socioeconomic vulnerability characteristics of the population do not explain exposure entirely but significantly contribute to risk-prone location choices. Additionally, social vulnerability factors such as low income and social segregation are highly concentrated in São Paulo, coinciding with substantial COVID-19 fatality rates during 25 months of the pandemic. Finally, qualitative analysis helps us overcome the limitations of quantitative methods on the intraurban scale, indicating contrasting experiences of resilience and resistance during the health crisis. While the low-income group faced mental health and food security issues, the upper-middle-income sample took advantage of opportunities arising during the pandemic to improve work and well-being. We argue that these results demonstrate potential synergies for climate adaptation and health policies in combating socio-environmental vulnerability at the community scale. Environmental justice is thus paramount for global development agendas such as the Sustainable Development Goals, Sendai Framework, and the Paris Agreement.

This paper is occasioned by the current events in the crude oil markets throughout the Covid pandemic time. The study analyzes the evolving nature of crude oil cost unpredictability caused by the variations that influence the crude sector throughout the current contagion. Every day's dataset is within the first month of 2020 and December 30, 2021 were measured by applying VAR and GARCH models. The results corroborate that the current contagion has adverse effects on the crude sector, primarily in two ways. It resulted in the headwinds for demand and cut international demand for crude oil, increasing uncertainty for major advanced and developing nations. Next, it resulted in output headwinds as the pandemic caused hydrocarbons conflicts among the leading crude supplying countries. The two headwinds seem to have caused the more than necessary crude unpredictability. Moreover, it was found that the United States output, total requirements, and crude-leaning demand shocks adversely affect the supply unpredictability of the United States and the extractive sectors. The findings depict that crude price instability responded significantly to the contagion caused by crude headwinds. Specifically, the study recorded the effect of uncertainty because of these headwinds beyond financiers' concerns about crude price instability. This study indicates that spillovers do not have meaningful forecast data, igniting critical debates concerning the relevance of the spillover indicator for predicting at minimal sampling occurrence.

Medical waste (MW) has exploded since the COVID-19 pandemic and aroused great concern to MW disposal. Meanwhile, the energy recovery for MW disposal is necessary due to high heat value of MW. Harmless disposal of MW with economically and environmentally sustainable technologies along with higher energy recovery is urgently required, and their energy recovery efficiencies and environmental impacts reduction due to energy recovery are key issues. In this study, five MW disposal technologies, i.e. rotary kiln incineration, pyrolysis incineration, plasma melting, steam sterilization and microwave sterilization, were evaluated and compared via energy recovery analysis (ERA), life cycle assessment (LCA), and life cycle costing (LCC) methods. Furthermore, three MW incineration technologies with further energy recovery and two sterilization followed by co-incineration technologies were analyzed to explore their improvement potential of energy recovery and environment benefits via scenario analysis. ERA results reveal that the energy recovery efficiencies of "steam and microwave sterilization + incineration" are the highest (≥83.4%), while that of the plasma melting is the lowest (19.2%). LCA results show that "microwave sterilization + landfill" outperforms others while the plasma melting exhibits the worst, electricity is the most significant contributor to the environmental impacts of five technologies. Scenario analysis shows that the overall environmental impact of all technologies reduced by at least 45% after further heat utilization. LCC results demonstrate that pyrolysis incineration delivers the lowest economic cost, while plasma melting is the highest. Co-incineration of sterilized MW and municipal solid waste could be recommended.

Increased residential energy consumption and reduced income caused by the lockdown measures invoked to combat the COVID-19 pandemic have deepened energy poverty, particularly in vulnerable communities. In this context, the pathway through which COVID-19 impacts energy poverty is constructed, and six relief measures are proposed: consistent financing of energy suppliers and consumers, developing various forms of socio-economic aids, leveraging fiscal stimuli to promote renewable energy transition, identifying vulnerable populations to improve policy effectiveness, designing equitable resource allocation mechanisms, and rethinking socio-economic transition in the post-pandemic era.

Pro-environmental behavior, a form of prosocial behavior that ultimately benefits all humanity, is essential for addressing climate change. This review presents pro-environmental behavior in a social dilemma framework describing how non-aligned interests in nested groups (e.g. smaller groups with interests opposing the interests of a superordinate group entailing the smaller groups) and unequal opportunities (e.g. differential access to resources) constitute barriers to pro-environmental behavior. We then summarize recent literature on three ways in which these barriers could be addressed. Specifically, we review how individual and conflicting interests might be overcome and benefits for the collective can be achieved by (1) collective action and global identities, (2) applying insights from another global crisis, the COVID-19 pandemic, and (3) a shift to research methods that consider the nested structure of and unequal opportunities within global crises as well as high-impact actions. Taken together, these approaches might foster one form of prosociality, pro-environmental behavior, that is desperately needed in the pursuit of sustainability.

Abstract New Energy Vehicles (NEVs), and especially electric cars, are rapidly changing the outlook of the car industry in China, the largest vehicle market in the world. However, an adjustment in subsidy schemes and breakout of COVID-19 appear to slow down the uptake of NEVs in the Chinese market. This raises the question of whether, other less costly, policy instruments can help the transformation towards cleaner vehicles. With the understanding that public support and user acceptance play a key role, we ask whether NEVs as part of increasingly popular car-sharing mode can gain further support, the increased uptake of new energy vehicles. To investigate this question, we perform an online survey, retrieving 1583 questionnaires, and scrutinize the perception of NEVs at the nexus with car-sharing. Relying on the Theory of Planned Behavior and ordered logistic regression model, we demonstrate that attitudes towards environmental protection and perceived benefits (economic and safety) play a key role in accelerating the adoption of shared electric cars. NEVs promotion policies need to specifically target groups by regions. Municipal agencies can substantially support NEV uptake by providing on-street parking exclusively for shared NEVs in cities, and information on the economic and social benefits of NEVs in rural areas.

Understanding the COVID-19 pandemic's effect on alcohol sales and consumption is critical in mitigating alcohol abuse and morbidity. We sought to determine how the onset of the COVID-19 pandemic and changes in viral incidence affected alcohol sales and consumption in the United States. We conducted a retrospective observational analysis regressing National Institute on Alcohol Abuse and Alcoholism (NIAAA) alcohol sales data and Behavioral Risk Factor Surveillance System (BRFSS) survey data for 14 states for 2017 to 2020 with COVID-19 incidence in 2020 in the United States. The onset of the pandemic was associated with higher monthly alcohol sales per capita of 1.99 standard drinks (95% Confidence Interval: 0.63 to 3.34, p = 0.007). Increases of one COVID-19 case per 100 were associated with lower monthly alcohol sales per capita of 2.98 standard drinks (95% CI: -4.47 to -1.48, p = 0.001) as well as broad decreases in alcohol consumption, notably 0.17 fewer days per month with alcohol use (95% CI: -0.31 to -0.23, p = 0.008) and 0.14 fewer days per month of binge drinking (95% CI: -0.23 to -0.052, p < 0.001). The COVID-19 pandemic is associated with increased monthly average alcohol purchases, but higher viral incidence is linked to lower alcohol purchases and consumption. Continued monitoring is needed to mitigate the effects of higher population alcohol use during the pandemic.

We have developed dissipative particle dynamics models for pure dipalmitoylphosphatidylcholine (DPPC), dioleoylphosphatidylcholine (DOPC), and dimyristoylphosphatidylcholine (DMPC) as well as their binary and ternary mixed membranes, as coronavirus model membranes. The stabilities of pure and mixed membranes, surrounded by aqueous solutions containing up to 70 mol % ethanol (alcoholic disinfectants), have been investigated at room temperature. We found that aqueous solutions containing 5-10 mol % ethanol already have a significant weakening effect on the pure and mixed membranes. The magnitude of the effect depends on the membrane composition and the ethanol concentration. Ethanol permeabilizes the membrane, causing its lateral swelling and thickness shrinking and reducing the orientational order of the hydrocarbon tail of the bilayer. The free energy barrier for the permeation of ethanol in the bilayers is considerably reduced by the ethanol uptake. The rupture-critical ethanol concentrations causing the membrane failure are 20.7, 27.5, and 31.7 mol % in the aqueous phase surrounding pure DMPC, DOPC, and DPPC membranes, respectively. Characterizing the failure of lipid membranes by a machine-learning neural network framework, we found that all mixed binary and/or ternary membranes disrupt when immersed in an aqueous solution containing a rupture-critical ethanol concentration, ranging from 20.7 to 31.7 mol %, depending on the composition of the membrane; the DPPC-rich membranes are more intact, while the DMPC-rich membranes are least intact. Due to the tight packing of long, saturated hydrocarbon tails in DPPC, increasing the DPPC content of the mixed membrane increases its stability against the disinfectant. At high DPPC concentrations, where the DOPC and DMPC molecules are confined between the DPPC lipids, the ordered hydrocarbon tails of DPPC also induce order in the DOPC and DMPC molecules and, hence, stabilize the membrane more. Our simulations on pure and mixed membranes of a diversity of compositions reveal that a maximum ethanol concentration of 32 mol % (55 wt %) in the alcohol-based disinfectants is enough to disintegrate any membrane composed of these three lipids.