The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the U.S. from March to September of 2020

This paper examines changes in people's mobility over a 7-month period (from March 1st to September 30th, 2020) during the COVID-19 pandemic in the U.S. using longitudinal models and county-level mobility data obtained from people's anonymized mobile phone signals. It differentiates two distinct waves of the study period: Wave 1 (March–June) and Wave 2 (June–September). It also analyzes the relationships of these mobility changes with various social, spatial, policy, and political factors. The results indicate that mobility changes in Wave 1 have a V-shaped trend: people's mobility first declined at the early stage of the COVID-19 pandemic (March–April) but quickly recovered to the pre-pandemic mobility levels from April to June. The rates of mobility changes during this period are significantly associated with most of our key variables, including political partisanship, poverty level, and the strictness of mobility restriction policies. For Wave 2, there was very little mobility decline despite the existence of mobility restriction policies and the COVID-19 pandemic becoming more severe. Our findings suggest that restricting people's mobility to control the pandemic may be effective only for a short period, especially in liberal democratic societies. Further, since poor people (who are mostly essential workers) kept traveling during the pandemic, health authorities should pay special attention to these people by implementing policies to mitigate their high COVID-19 exposure risk.     

Exogenous shocks and managerial preparedness: A study of U.S. airlines’ environmental scanning before the onset of the COVID-19 pandemic

Managerial preparedness is a constant concern for firm stakeholders. This concern is exacerbated during times of immense stress brought about by exogenous shocks. In this paper, we analyze the preparedness of U.S. commercial airline management teams to the largest systematic exogenous shock to date, namely the COVID-19 pandemic in 2019 and 2020. We do this by underpinning the paper with theory on environmental scanning and managerial dysfunction and then documenting the signals and actions of management around multiple public health scares. These include the SARS outbreak, the Swine Flu outbreak and the COVID-19 outbreak. Our results, based off of corporate filings with the SEC, is that airline management had multiple “dry runs” before the COVID-19 outbreak that should have lead them to prepare for financially catastrophic scenarios such as the one observed in 2020. Instead, management teams failed to learn from these, and other, prior shocks. Instead, they focused on other, less serious threats while diffusing their financial buffers through dividends and share buybacks.     

Exploring the dynamic impacts of COVID-19 on intercity travel in China

Many studies have explored the effects of transportation and population movement on the spread of pandemics. However, little attention has been paid to the dynamic impact of pandemics on intercity travel and its recovery during a public health event period. Using intercity mobility and COVID-19 pandemic data, this study adopts the gradient boosting decision tree method to explore the dynamic effects of the COVID-19 on intercity travel in China. The influencing factors were classified into daily time-varying factors and time-invariant factors. The results show that China's intercity travel decreased on average by 51.35% from Jan 26 to Apr 7, 2020. Furtherly, the COVID-19 pandemic reduces intercity travel directly and indirectly by influencing industry development and transport connectivity. With the spread of COVID-19 and changes of control measures, the relationship between intercity travel and COVID-19, socio-economic development, transport is not linear. The relationship between intercity travel and secondary industry is illustrated by an inverted U-shaped curve from pre-pandemic to post-pandemic, whereas that with tertiary industry can be explained by a U-shaped curve. Meanwhile, this study highlights the dynamic effect of the COVID-19 on intercity mobility. These implications shed light on policies regarding the control measures during public health events that should include the dynamic impact of pandemics on intercity travel.     

突发事件对我国铁路客运量的干预特征研究

基于新冠肺炎疫情等突发事件对人们日常生活出行的影响,结合X-13ARIMASEATS季节调整模型的自动识别最优ARIMA模型和检测突发事件离群值功能,使用脉冲函数和阶梯函数设计基于离群值的突发事件的干预变量,构建铁路客运量的时间序列ARIMAX干预模型,对铁路客运量近年受到的SARS疫情、铁路客票实名制政策和新冠肺炎疫情等突发事件的冲击趋势进行干预比较分析。结果显示,SARS和新冠肺炎疫情对铁路客运量冲击较大,SARS疫情在冲击滞后的第5~6期铁路客运量基本得到恢复,新冠肺炎疫情对铁路客运量冲击一直在持续中,铁路客运实名制政策实施社会性较强,冲击具有波动性和不稳定性特征,持续时间较短;相对季节调整模型的趋势分析优势,干预模型拟合预测精度显著高于季节调整模型,预测显示我国铁路客运量在缓慢持续回暖中。     

Changes in car and bus usage amid the COVID-19 pandemic: Relationship with land use and land price

This study aimed to explore the impacts of COVID-19 on car and bus usage and their relationships with land use and land price. Large-scale trip data of car and bus usage in Daejeon, South Korea, were tested. We made a trip-chain-level data set to analyze travel behavior based on activity-based travel volumes. Hexagonal cells were used to capture geographical explanatory variables, and a mixed-effect regression model was adopted to determine the impacts of COVID-19. The modeling outcomes demonstrated behavioral differences associated with using cars and buses amid the pandemic. People responded to the pandemic by reducing their trips more intensively during the daytime and weekends. Moreover, they avoided crowded or shared spaces by reducing bus trips and trips toward commercial areas. In terms of social equity, trips of people living in wealthier areas decreased more than those of people living in lower-priced areas, especially trips by buses. The findings contribute to the previous literature by adding a fundamental reference for the different impacts of pandemics on two universal transportation modes.     

How did COVID-19 impact air transportation? A first peek through the lens of complex networks

The current outbreak of COVID-19 is an unprecedented event in air transportation. This is probably the first time that global aviation contributed to the planet-wide spread of a pandemic, with casualties in over two hundred countries. As of August 23rd, 2020, the number of infected cases has topped 23 million, reportedly relating to more than 800,000 deaths worldwide. However, there is also a second side of the pandemic: it has led to an unmatched singularity in the global air transportation system. In what could be considered a highly uncoordinated, almost chaotic manner, countries have closed their borders, and people are reluctant/unable to travel due to country-specific lock-down measures. Accordingly, aviation is one of the industries that has been suffering most due to the consequences of the pandemic outbreak, despite probably being one of its largest initial drivers. In this study, we investigate the impact of COVID-19 on global air transportation 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 the spatial-temporal evolutionary dynamics of COVID-19 in air transportation networks. Our study provides a comprehensive empirical analysis on the impact of the COVID-19 pandemic on aviation from a complex system perspective using network science tools.     

Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

The COVID-19 pandemic has led to a globally unprecedented change in human mobility. Leveraging two-year bike-sharing trips from the largest bike-sharing program in Chicago, this study examines the spatiotemporal evolution of bike-sharing usage across the pandemic and compares it with other modes of transport. A set of generalized additive (mixed) models are fitted to identify relationships and delineate nonlinear temporal interactions between station-level daily bike-sharing usage and various independent variables including socio-demographics, land use, transportation features, station characteristics, and COVID-19 infections. Results show: 1) the proportion of commuting trips is substantially lower during the pandemic; 2) the trend of bike-sharing usage follows an “increase-decrease-rebound” pattern; 3) bike-sharing presents as a more resilient option compared with transit, driving, and walking; 4) regions with more white, Asian, and fewer African-American residents are found to become less dependent on bike-sharing; 5) open space and residential areas exhibit less decrease and earlier start-to-recover time; 6) stations near the city center, with more docks, or located in high-income areas go from more increase before the pandemic to more decrease during the pandemic. Findings provide a timely understanding of bike-sharing usage changes and offer suggestions on how different stakeholders should respond to this unprecedented crisis.     

The effect of Covid-19 depression on spirituality and psychological well-being through the perceived environmental restorativeness of a pilgrimage route: Focusing on pilgrims on Seoul Catholic Pilgrimage Route

During the COVID-19 pandemic, policies adopted by various countries to prevent the spread of the disease exacerbated social isolation among people, and their prolonged implementation has had a negative effect on people's mental health, leading to increased anxiety, stress, and depression. Group religious activities were prohibited, so believers continued their faith practices through individual pilgrimages. Therefore, the purpose of this study is to clarify the relationship between depression caused by COVID-19 and its impact on spirituality and psychological well-being, through the perceived restorative environment of the Seoul Catholic Pilgrimage Route. The results confirmed that COVID-19 depression had a negative effect on perceived environmental restorativeness and psychological well-being but perceived environmental restorativeness had a positive effect on Spirituality, and Spirituality had a positive effect on psychological well-being. These results imply that pilgrims who have experienced depression due to the pandemic can improve their spirituality and psychological well-being through nature-based pilgrimages.     

Impact of COVID-19 on the number of days working from home and commuting travel: A cross-cultural comparison between Australia,South America and South Africa

The COVID-19 pandemic has changed the way we go about our daily lives in ways that are unlikely to return to the pre-COVID-19 levels. A key feature of the COVID-19 era is likely to be a rethink of the way we work and the implications on commuting activity. Working from home (WFH) has been the ‘new normal’ during the period of lockdown, except for essential services that require commuting. In recognition of the new normal as represented by an increasing amount of WFH, this paper develops a model to identify the incidence of WFH and what impact this could have on the number of weekly commuting trips. Using data collected in eight countries (Argentina, Australia, Brazil, Chile, Colombia, Ecuador, Peru and South Africa), we developed a Poisson regression model for the number of days individuals worked from home during the pandemic. Simulated scenarios quantify the impact of the different variables on the probability of WFH by country. The findings provide a reference point as we continue to undertake similar analysis at different points through time during the pandemic and after when restrictions are effectively removed.     

Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation

The COVID-19 pandemic has had a substantial impact on the airline industry. Air travel in the United States declined in 2020 with significantly lower domestic and international flights. The dynamic change and uncertainty in the trend of COVID-19 have made it difficult to predict future air travel. This paper aims at developing and testing neural network models that predict domestic and international air travel in the medium and long term based on residents' daily trips by distance, economic condition, COVID-19 severity, and travel restrictions. Data in the United States from various sources were used to train and validate the neural network models, and Monte Carlo simulations were constructed to predict air travel under uncertainty of the pandemic and economic growth. The results show that weekly economic index (WEI) is the most important predictor for air travel. Additionally, daily trips by distance play a more important role in the prediction of domestic air travel than the international one, while travel restrictions seem to have an impact on both. Sensitivity analysis results for four different scenarios indicate that air travel in the future is more sensitive to the change in WEI than the changes in COVID-19 variables. Additionally, even in the best-case scenario, when the pandemic is over and the economy is back to normal, it still takes several years for air travel to return to normal, as before the pandemic. The findings have significant contributions to the literature in COVID-19's impact on air transportation and air travel prediction.     

Does COVID-19 affect metro use in Taipei?

This paper provides the first evidence of the causal effect of COVID-19 on metro use using real-time data from the Taipei Metro System in Taiwan. In contrast to other cities or countries, Taiwan did not enforce strict social lockdowns or mandatory stay-at-home orders to combat COVID-19. The major prevention strategies to the pandemic in Taiwan include promoting social distancing, mandating the wearing of face masks in public areas, and requiring all international arrivals to quarantine for 14 days. Using administrative data on confirmed cases of COVID-19 and ridership from metro stations with the difference-in-differences model, we find that an additional new confirmed case of COVID-19 reduces metro use by 1.43% after controlling for local socio-demographic variables associated with ridership and the number of international arrivals to Taiwan. This result implies that the reduction in metro trips is attributable to decreases in residents' use of public transportation due to perceived health risks. Furthermore, the effect of COVID-19 on metro use disproportionally impacts stations with different characteristics. The effect is more pronounced for metro stations connected to night markets, shopping centers, or colleges. Although decreases in metro ridership lower the revenue of the Taipei Metro System, our results indicate a tradeoff between increased financial burdens of public transportation systems and reducing medical expenses associated with COVID-19.     

Strategic responses by European airlines to the Covid-19 pandemic: A soft landing or a turbulent ride?

The coronavirus (COVID-19) pandemic has dramatically affected the aviation industry. This paper investigates how 20 European airlines communicated their crisis messages during the pandemic by employing Situational Crisis Communication Theory (SCCT) to airline responses. This qualitative study consisting of a systematic review and content analysis, examined 7237 messages from social media channels and press releases posted between December 1, 2019, and May 25, 2020, when the crisis unfolded worldwide. The results indicate that the airlines primarily emphasized instructing and adjusting crisis communication strategies. Further, Twitter replaced Facebook as the primary communication channel. This study provides insights on how airlines can and should communicate crisis-related messages amidst a severe pandemic. The study concludes with the implications of these findings and recommendations for airline stakeholders moving forward.     

Government support to airlines in the aftermath of the COVID-19 pandemic

This paper assesses government support measures to the air transport sector following the outbreak of the coronavirus disease (COVID-19) pandemic from two points of view. First, it explores the factors that shape governments’ willingness to support airlines. This is followed by a discussion on the various types of support that may be provided and how country-specific parameters influence the choice of measures. Second, it analyses the implications of government support in three dimensions relevant to air transport policy: competition and liberalisation, airline ownership and control, and environmental sustainability. The analysis suggests that most governments give a high priority to maintaining air transport connectivity in order to protect economic activity and jobs, in aviation itself and in related sectors such as tourism. The trade-off between ensuring connectivity and maintaining competition after the COVID-19 pandemic is a challenge with several political and economic dimensions. The re-orientation of public policy in the aftermath of the pandemic may limit the relative importance of the policy priorities that shaped the evolution of the air transport sector before the crisis, especially those related to climate change and the environment. The role of government and public authorities at all levels – especially the type and duration of measures affecting transport operations – will be crucial for the future development of the aviation industry.     

COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane

This paper aims to analyze and understand the impact of the corona virus disease (COVID-19) on aviation and also the role aviation played in the spread of COVID-19, by reviewing the recent scientific literature. We have collected 110 papers on the subject published in the year 2020 and grouped them according to their major application domain, leading to the following categories: Analysis of the global air transportation system during COVID-19, the impacts on the passenger-centric flight experience, and the long-term impacts on broad aviation. Based on the aggregated reported findings in the literature, this paper concludes with a set of recommendations for future scientific directions; hopefully helping aviation to prepare for a post-COVID-19 world.     

Unravel the impact of COVID-19 on the spatio-temporal mobility patterns of microtransit

Shared mobility is an essential component of the larger sharing economy. Ride-hailing, bike-sharing, e-scooters, and other types of shared mobility continue to grow worldwide. Among these services is microtransit, a new transport mode that extends transit coverage within a region. Mobile devices enable microtransit services, aggregating riders and using real-time routing algorithms to group customers traveling in similar directions. Meanwhile, the newly emerged coronavirus, COVID-19, has radically reshaped the ridership behavior of all transit services, including microtransit. While existing research evaluates the performance of microtransit pilot programs before the pandemic, there is no information concerning the spatio-temporal pattern of microtransit activities under the impact of COVID-19. The purpose of this paper is to apply eigendecomposition and k-clique percolation methods to uncover the spatio-temporal patterns of microtransit trips. Further, we used these approaches to identify underlying communities using data from a pilot program in Salt Lake City, Utah. The resulting research offers insight into how COVID-19 altered travel behavior. Specifically, eigendecomposition delineated the homogeneity and heterogeneity of travel patterns across temporal dimensions. We identified first mile/last mile trips as a major source of variance in both pre- and post-COVID periods and that transit-dependent users prove to be inelastic despite the threat of COVID-19. The k-clique percolation method detected possible community formations and tracked how these communities evolved during the pandemic. In addition, we systematically analyzed overlapping communities and the network structure around shared nodes by using a clustering coefficient. The workflow developed in this research broadly is generalizable and valuable for understanding the unique spatio-temporal patterns of microtransit. The framework can also help transit agencies with performance evaluation, regional transport strategies, and optimal vehicle dispatching.     

International tourists' perceptions of Myanmar as a tourist destination in the crisis: A comparative study among three continents

Myanmar has emerged as a popular tourist destination following its recent political transformation, with the Travel and Tourism sector contributing significantly to the country's GDP. However, the outbreak of the COVID-19 pandemic posed numerous challenges for the global tourism industry and Myanmar, including travel restrictions, border closures, and health concerns. This study examines the levels of satisfaction and inconvenience experienced by tourists from Asia, Europe, and America who visited Myanmar during the early stages of the pandemic. A sample of 202 tourists was collected from Yangon and Myeik, two prominent tourist destinations in Myanmar. Various statistical tests were employed to analyze international tourists' perceptions of Myanmar tourism. The findings revealed that tourists from all three regions expressed satisfaction with the natural scenery, historical sites and architectural design, and traditional costumes offered by Myanmar. The implications of the study are discussed.     

An assessment of air passenger confidence a year into the COVID-19 crisis: A segmentation analysis of passengers in Norway

The COVID-19 crisis has become the most intense and long-lasting in the history of aviation. There is already a significant literature on the immediate impact of the outbreak, as well as on speculation on the future evolution of the industry. This paper seeks to contribute to this discussion by assessing a year into the crisis the demand related aspects and passenger behavioural impacts of the pandemic. Specifically, the paper aims to identify discrete market segments of air passengers according to their shared attitudes and preferences about air travel in light of the COVID-19 crisis, as well as past behaviour and future travel intentions. To achieve this, we analyse data from a large (n = 2096) online questionnaire survey of air passengers in Norway. The cluster analysis identifies four distinct passenger segments, with each displaying varying attitudes, behaviours, and levels of concern about air travel. One of these groups, described as the ‘Apprehensive Elders’, were identified as having the highest level of concern about flying, and subsequently showed a sharp decline in their intention to travel in the future. Another group, termed the ‘Cautious Commuters’, showed similarly enhanced levels of concerns about flying, but maintained a high propensity to fly following the pandemic despite these concerns. Regarding possible interventions to increase confidence in flying in the future, across all segments the data shows a clear preference for more ‘traditional’ active interventions, including wearing of face masks and enforcement of physical distancing, over and above passive or technological interventions. Norway represents a valuable case as a possible signal for future policy and practice in relation to the recovery of air travel following the pandemic. The findings have important implications for air transport managers and decision makers in terms of managing the perceptions and expectations of different passenger groups as air travel begins to return.     

The impacts of COVID-19 on the global airline industry: An event study approach

This study examines the short-term impact of the 2019 novel coronavirus (COVID-19) outbreak on 52 listed airline companies around the world by using event study methodology. The results demonstrate that airline stock returns decline more significantly than the market returns after three major COVID-19 announcements were made. Overall, investors react differently during the three selected events. The strongest overreaction is noted in the post-event period of the World Health Organization's and President Trump's official announcements. Moreover, the findings confirm that traders in Western countries are more responsive to recent information than the rest of the world. The findings call for immediate policy designs in order to alleviate the impact of the pandemic in the airline industry around the globe.     

Airport user experience unpacked: Conceptualizing its potential in the face of COVID-19

Given the unprecedented challenges imposed on the aviation industry by the COVID-19 pandemic, this paper proposes a new perspective on airport user experience as a field of study to unlock its potential as a basis for strategic roadmapping. Through an integrative literature review, this study points out a dominant focus, in practice and research, on customer experience and service quality, as opposed to user experience, to help airports gain a competitive edge in an increasingly commoditized industry. The review highlights several issues with this understanding of experience, as users other than passengers, such as employees, working for the airport and its myriad stakeholders, as well as visitors, are largely omitted from study. Given the complexity of the system, operationally, passengers are generally reduced to smooth flows of a passive mass, which this study argues is both a missed opportunity and a vulnerability exacerbated by the COVID-19 pandemic. Major events apart from COVID-19 are used to show the negative effects this simplification of user experience has had. Based on solutions and models proposed in previous studies, a conceptual model has been developed to illustrate the postulated potential of a deeper and more holistic study of airport user experience to make airport systems generally more agile, flexible and future-proof. As such, the paper advocates to utilize the user experience as a basis for strategic planning to equip airports with the know-how to manage not just daily operations more effectively but also the aftermath of and recovery from major events like the COVID-19 pandemic. Moreover, with the user experience at the center of the strategic roadmap, airports can plan ahead to mitigate the impact of future scenarios. The importance of future research and the use of existing research are discussed.     

The effect of aviation responses to the control of imported COVID-19 cases

The outbreak of the COVID-19 pandemic has a lasting and unprecedented negative impact on the global aviation industry. While countries such as China have successfully curbed the domestic outbreak of the virus with various restrictive and preventive measures, the challenge of avoiding imported cases remains. More importantly, it is still unclear to what extent these implemented aviation emergency responses have effectively mitigated the transmission risk of the virus. This paper provides an empirical assessment of aviation responses to the control of imported COVID-19 cases, with a focus on the following three strategies: the “circuit breaker” policy, the “negative Nucleic Acid testing (NAT)”, and the “double negative tests” requirement. Non-recursive structural equation models (SEM) with latent variables were applied to detailed international flight data and individual epidemic survey data of Guangzhou, China, between May 1 and November 30, 2020. The results show that the “double negative tests” measure has a positive effect on eliminating the number of SARS-CoV-2 carriers, while the effects of single “circuit breaker” and its co-intervention with “negative NAT” are conterproductive. This study provides important implications to civil aviation agencies in regard to medium and long-term risk control of imported cases. Specifically, although the circuit breaker mechanism was designed to target on the risk control of imported COVID-19 cases, it may be more effective to carefully maintain a timely and reliable pre-boarding screening and testing to curb the number of imported cases.