Abstract:The current outbreak of COVID-19 is an unprecedented event in air transportation. In this study, we investigate the impact of COVID-19 on global air transportation through the lens of complex networks different at different scales, ranging from worldwide airport networks where airports are nodes and links between airports exist when direct flights exist, to international country networks where countries are contracted as nodes, and to domestic airport networks for representative countries/regions. We focus on … Show more
COVID-19 pandemic is the biggest challenge facing humanity after the 1918 Flu pandemic. The pandemic also poses a massive challenge to the achievement of Sustainable Development Goals (SDGs). Meeting this challenge requires a comprehensive investigation of the impact of the pandemic on sustainability. In this work, publications related to the impact of COVID-19 on sustainability in the Web of Science database were explored systematically by using bibliometrics techniques and meta-analysis approach. The results show the research scope is extensive, covering many subjects, whereas the research depth is not enough. Research in developed countries is dominant, although the pandemic poses more significant challenges to the sustainable development of developing countries than of developed countries. Developed countries are committed to studying education sustainability, while developing countries have shown greater attention to economic sustainability during the epidemic. The cluster analysis also shows that the COVID-19 pandemic has brought negative effects on 17 SDGs goals, whereas the pandemic may also bring opportunities to another 14 SDGs goals. At the end of the article, we put forward relevant suggestions for achieving sustainable development goals in the post-epidemic era.
COVID-19 pandemic is the biggest challenge facing humanity after the 1918 Flu pandemic. The pandemic also poses a massive challenge to the achievement of Sustainable Development Goals (SDGs). Meeting this challenge requires a comprehensive investigation of the impact of the pandemic on sustainability. In this work, publications related to the impact of COVID-19 on sustainability in the Web of Science database were explored systematically by using bibliometrics techniques and meta-analysis approach. The results show the research scope is extensive, covering many subjects, whereas the research depth is not enough. Research in developed countries is dominant, although the pandemic poses more significant challenges to the sustainable development of developing countries than of developed countries. Developed countries are committed to studying education sustainability, while developing countries have shown greater attention to economic sustainability during the epidemic. The cluster analysis also shows that the COVID-19 pandemic has brought negative effects on 17 SDGs goals, whereas the pandemic may also bring opportunities to another 14 SDGs goals. At the end of the article, we put forward relevant suggestions for achieving sustainable development goals in the post-epidemic era.
“…Bao et al built a global air transport network by analyzing flight data from over 3,765 different airports from the Official Aviation Guide, describing the impact of the removed airports and flights on the entire air transport network, and found that these actions led to an increase in the average distance between airports and an increase in the number of long-haul routes [23]. Furthermore, Sun, Wandelt, and Zhang studied the impact of COVID-19 on global air transport from a complex systems perspective at different scales, including the world airport network, the links between different airports, and the international airport network for direct flights, on a country-by-country basis [5].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Assumption 4. Assume that the time of asymptomatic infected persons entering the airport is a triangular distribution, that is, an asymptomatic infected person randomly enters the airport within a triangular (5,10,15) First of all, we used the data obtained from the field survey as the baseline of the model to obtain the total passenger flow of Mianyang Airport and the number of people infected by the epidemic in the airport under different circumstances, and then, we calculated the medical cost of infected patients and close contacts according to the report of Jin et al [44], as given in Table 3.…”
Section: Assumptionmentioning
confidence: 99%
“…COVID-19 still shows no signs of slowing down after it claimed nearly half a million lives worldwide [4]. e outbreak of COVID-19 is also an unprecedented event in air transportation [5].…”
Section: Introductionmentioning
confidence: 99%
“…Airports are important places for the aggregation and dispersion of passenger ows due to the rapid spread of COVID-19, strong infectivity, latent concealment of infection, and large number of infected populations [5], and countries with large airports or road tra c are in the early hotspot of the COVID-19 epidemic [4]. High-density passenger ows are vulnerable to mutual infection during COVID-19.…”
An airport is a complicated system that serves as a vital link in the aviation system. Airplanes are also a popular mode of transportation for daily travel and tourism. Now that COVID-19 is spreading over the world, many airlines are under severe financial strain. Therefore, long-term air traffic planning is critical, especially since the airport is a key region for COVID-19 to expand. To anticipate, simulate, and estimate the medical and health expenditures caused by the propagation of the epidemic under lax, mild, and strict social contact intervention, we utilize a hybrid model of the agent-based model and discrete event simulation. An agent-based model can capture individual behavior, and discrete event simulation can be used to explain the entire boarding process. Limiting the rate of wearing masks while traveling and upgrading airport facilities are the most effective strategies to manage the epidemic, given the convenience of travelers and the swift recovery of the national economy. Simulating passenger boarding will aid government agencies in improving airport equipment and facilities, facilitating passengers’ reasonable travel plans, avoiding large-scale contact, preventing the spread of epidemic diseases, and promoting the long-term sustainability of densely populated public transportation systems such as airports.
The COVID-19 pandemic has generated a huge volume of research from various disciplines, such as health sciences, social sciences, mathematical modeling, social network analysis, complex systems, decision-making processes, computer simulation, economics, among many others. One of the key problems has been to understand the diffusion processes of the virus, which quickly spread worldwide through transport networks, mainly air flights. Almost two years after start the pandemic, it is necessary to collect and synthesize the existing work on this matter. This work focuses on studies related to the COVID-19 contagion simulation through transport networks. In particular, we are specially interested in the different datasets and epidemiological models used. The search methodology consists of four exhaustive searches in Google Scholar carried out between January 2020 and January 2021. Of the 1786 findings, we chose 53 articles related to Covid-19 contagion modeling and simulation through transport networks. The results show 30 different data sources for the collection of air flights and 11 additional sources for maritime and land transport. These datasets are usually complemented with other data sources, local and international, with demographic information, economic data, and statistics of traceability of the pandemic. The findings also found 15 spread models of contagion, with the SEIR model being the most widely used, followed by mathematical-based risk models. This diversity of results validates the need for these types of compilation efforts since researchers do not have a single centralized repository to collect air flight data.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
