The full societal impact COVID-19 pandemic is laid bare in urban mobility patterns. This research explored the recently published data on the operation of subway and bike share systems (BSS) during the COVID-19 outbreak in New York city, providing evidence on its impact over urban transport systems, but also on how its different components can work in conjunction. The BSS has proved to be more resilient than the subway system, with a less significant ridership drop (71% vs 90% ridership drop and 50% decrease on the ridership ratio) and an increase on its trips' average duration (from 13 min to 19 min per trip). Moreover, the study found evidence of a modal transfer from some subway users to the bike sharing system. The first effects of the free BSS programs aimed at essential service workers were also evaluated. BSS can improve the resilience of urban transport systems to disruptive events. https://www.selleckchem.com/products/abtl-0812.html Overall, this paper offers clues on how bike sharing, and cycling in general, can support the transition to a post-coronavirus society.Governmental restrictions aspiring to slow down the spread of epidemic and pandemic outbreaks lead to impairments for economic operations, which impact transportation networks comprising the maritime, rail, air, and trucking industries. Witnessing a substantial increase in the number of infections in Germany, the authorities have imposed drastic restrictions on everyday life. Resulting panic buying and increasing home consumption had versatile impacts on transport volume and freight capacity dynamics in German food retail logistics. Due to the lack of prior research on the effects of COVID-19 on transport volume in retail logistics, as well as resulting implications, this article aspires to shed light on the phenomenon of changing volume and capacity dynamics in road haulage. After analyzing the transport volume of n = 15,715 routes in the timeframe of 23.03.2020 to 30.04.2020, a transport volume growth rate expressing the difference of real and expected transport volume was calculated. This ratio was then examined concerning the number of COVID-19 infections per day. The results of this study prove that the increasing freight volume for dry products in retail logistics does not depend on the duration of the COVID-19 epidemy but on the strength quantified through the total number of new infections per day. This causes a conflict of interest between transportation companies and food retail logistics for non-cooled transport capacity. The contributions of this paper are highly relevant to assess the impact of a possibly occurring second COVID-19 virus infection wave.Oil prices have been in the downtrend since the recession of 2008. Since then, companies have struggled to survive as factors of production are being driven by external influences. International efforts to create a sustainable environment further intricates the supply and demand curve as countries develop policies and strategies to phase out fossil fuels. There has been a myriad of researches conducted by both public and private organisations that seem to agree and disagree on certain factors of a peak oil forecast. There is lack of research however, on finding common ground to determine the central tendencies if multiple predictions are accounted, which creates bias in decision making. The findings of this research provide a practical outlook for businesses and governments to better position their financial and policy decisions with regard to fossil fuels which could affect the lives of many. This research uses a novel prediction combination approach to determine an earliest-case peak oil occurrence through qualitative and quantitative methods for bias minimisation. The predictions are sourced from a balance of reputable private and public international agencies. The result interestingly finds commonality of reaching an earliest-case of peak oil in the year 2025 with feasible factors considered. The research discusses the inflection point forecast and financial risk mitigation recommendations for private entities and governments gathered from expert reports and articles in the field of oil supply and demand.The unprecedented global shutdown that resulted from the COVID pandemic presents an opportunity to reconfigure future transport policy and practice for the benefit of the global environment and individual citizens alike. Before COVID, much of the emphasis in transport policy was on demand management, 'smart' technological interventions and sustainable mobility. The public health crisis has necessitated an urgent reconsideration of transport and its contribution to post-COVID economic recovery. In recognition of the importance of individual behaviour and collective responsibility in protecting both personal and public health during the crisis, this think piece proposes a new concept of Responsible Transport to help inform and shape transport policy and practice responses to COVID. The novelty of this proposal lies in the fact that it incorporates not only environmental considerations with respect to sustainability but also encompasses considerations of individual and community health and wellbeing. Moreover, it stresses the role of the individual as a responsible autonomous actor in delivering socially desired transport outcomes.The purpose of this paper is to analyze the effects of uncertainty shocks on airline employment in the light of the current global pandemic. The airline industry has faced many threats throughout history, but none quite as rapid and severe as the one posed by the spread of COVID-19. One constant during uncertainty shocks and industry downturns is that airline labor bears the brunt of the decline. As the industry reduces capacity amid the increase in travel restrictions, the post-stimulus impacts to airline labor are not known. Using time series analysis, the dynamics of historical uncertainty shocks to the industry are examined. During periods of uncertainty shocks, the estimated job loss is nearly 7% of the airline workforce with an upper bound of over 13%. Major airline employment is most impacted, while low-cost and regional airline employment is least impacted. The hardest hit employees are ones related to passenger handling and flight operations, while management employees fair slightly better during these uncertain periods.