Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports

Xue, Dabin; Liu, Zhizhao; Wang, Bing; Yang, Jian

doi:10.1016/j.jairtraman.2021.102106

Cited by 39 publications

(27 citation statements)

References 30 publications

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“…( 2021 ), Xue et al. ( 2021 ), Zhu and Guo ( 2021 ) USA Abulhassan and Davis ( 2021 ), Bhouri et al. ( 2021 ), Brinkman and Mangum ( 2021 ), Gaskin et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

Data analytics during pandemics: a transportation and location planning perspective

2022

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The recent COVID-19 pandemic once again showed the value of harnessing reliable and timely data in fighting the disease. Obtained from multiple sources via different collection streams, an immense amount of data is processed to understand and predict the future state of the disease. Apart from predicting the spatio–temporal dynamics, it is used to foresee the changes in human mobility patterns and travel behaviors and understand the mobility and spread speed relationship. During this period, data-driven analytic approaches and Operations Research tools are widely used by scholars to prescribe emerging transportation and location planning problems to guide policy-makers in making effective decisions. In this study, we provide a review of studies which tackle transportation and location problems during the COVID-19 pandemic with a focus on data analytics. We discuss the major data collecting streams utilized during the pandemic era, highlight the importance of rapid and reliable data sharing, and give an overview of the challenges and limitations on the use of data.

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“…( 2021 ), Xue et al. ( 2021 ), Zhu and Guo ( 2021 ) USA Abulhassan and Davis ( 2021 ), Bhouri et al. ( 2021 ), Brinkman and Mangum ( 2021 ), Gaskin et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

Data analytics during pandemics: a transportation and location planning perspective

2022

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“…Typical measures taken by airlines to respond to the crisis were changing flight operations, rationalising the fleet, reducing staff numbers, and reconfiguring networks and capacity [10]. Airlines chose smaller and more cost-efficient aircraft to handle the reduced demand and remain economically viable [11]. Notably, the lower level of demand during the COVID-19 pandemic enhanced the on-time performance of airlines [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Post-COVID-19 Scenarios of Global Airline Traffic until 2040 That Reflect Airport Capacity Constraints and Mitigation Strategies

2021

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Although there has been an unprecedented decline in traffic volume due to the COVID-19 crisis, robust growth in global demand for air transport services in the past means that air traffic is expected to recover in the long term. While capacity constraints are currently not a major topic at airports due to the extremely low levels of traffic, there is growing evidence to suggest that important nodes of the worldwide airport network will struggle to deal with capacity constraints after the recovery. The objectives of this research were therefore as follows: to elaborate long-term global passenger and flight volume scenarios in a post-COVID-19 world; to conduct an empirical and model-based analysis of the impact of limited airport capacity on the future development of air traffic in these scenarios; and to derive general strategies for mitigating capacity constraints at certain international airports. Thus, the main aim of this paper is to present a model-based scenario analysis of the long-term impact of the COVID-19 crisis on the capacity situation for airports. Our results indicate that once the pandemic is over, the capacity crunch will remain on the airports’ agenda for some time.

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“…Even when a relaxation of stringency policies took place in summer 2020, many restaurants were able to offer only limited services with significantly reduced labor input, such as take‐out and delivery services. Furthermore, international travels were restricted (Ito et al, 2020 ; Xue et al, 2021 ), causing the tourism and transportation sectors to incur significant losses, resulting in increased unemployment, further contributing to the weakening of demand and economic activity in general through a multiplier effect (Škare et al, 2021 ). Against this background, Barrot et al ( 2021 ) estimated that about half of the drop in GDP can be attributed to the implementation of social distancing measures in the United States.…”

Section: Introductionmentioning

confidence: 99%

Impacts of the COVID‐19 outbreak on older‐age cohorts in European Labor Markets: A machine learning exploration of vulnerable groups

Celbiş

Wong

Kourtit

et al. 2023

Regional Science Policy & Practice

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We identify vulnerable groups through the examination of their employment status in the face of the initial coronavirus disease 2019 (COVID‐19) shock through the application of tree‐based ensemble machine learning algorithms on a sample of individuals over 50 years old. The present study elaborates on the findings through various interpretable machine learning techniques, namely Shapley values, individual conditional expectations, partial dependences, and variable importance scores. The structure of the data obtained from the Survey of Health, Aging and Retirement in Europe (SHARE) dataset enables us to specifically observe the before versus the after effects of the pandemic shock on individual job status in spatial labor markets. We identify small but distinct subgroups that may require particular policy interventions. We find that the persons in these groups are prone to pandemic‐related job loss owing to different sets of individual‐level factors such as employment type and sector, age, education, and prepandemic health status in addition to location‐specific factors such as drops in mobility and stringency policies affecting particular regions or countries.

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Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports

Cited by 39 publications

References 30 publications

Data analytics during pandemics: a transportation and location planning perspective

Data analytics during pandemics: a transportation and location planning perspective

Post-COVID-19 Scenarios of Global Airline Traffic until 2040 That Reflect Airport Capacity Constraints and Mitigation Strategies

Impacts of the COVID‐19 outbreak on older‐age cohorts in European Labor Markets: A machine learning exploration of vulnerable groups

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