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COVID-19 Pandemic—Financial Consequences for Polish Airports—Selected Aspects
 
 
Article
Peer-Review Record

International Passenger Traffic at the Hellenic Airports: Impact of the COVID-19 Pandemic and Mid-Term Forecasting

Aerospace 2022, 9(3), 143; https://doi.org/10.3390/aerospace9030143
by Stavroula P. Kitsou 1, Nikitas Spiros Koutsoukis 2, Panos Chountalas 3 and Nikolaos P. Rachaniotis 4,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Aerospace 2022, 9(3), 143; https://doi.org/10.3390/aerospace9030143
Submission received: 16 January 2022 / Revised: 23 February 2022 / Accepted: 3 March 2022 / Published: 6 March 2022

Round 1

Reviewer 1 Report

The new version of the paper presents some adjustments respect to the previous version. Table 2 and Table 4 were deleted and there is something more to justify the choice of a time-series model.

However, as already underlined after the first review, some weakness of the paper remains. The model is not able to catch pandemic phenomena and the authors have to better highlight the novelties of this paper or its possible interests for the scientific community.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

It is an interesting idea to use forecasting to evaluate the impact of lockdowns on air transport recovery. However, in the introduction, the methodology and the result sections, I do not see how your method works. This is an empirical forecasting model. How did you use it to answer your research question? I expected that the authors have used forecasting in different scenarios and compared the forecast to the reality, thus deriving the impact. This should be the key of the paper. Or the authors have done something else. Unfortunately, these important details are not obvious in the manuscript.

In addition, the authors should have provided a more detailed literature review on this topic. Air transport recovery, forecasting, transportation planning.

 

Some references:

Li, X., de Groot, M. and Bäck, T., 2021. Using forecasting to evaluate the impact of COVID‐19 on passenger air transport demand. Decision Sciences.

Gudmundsson, S.V., Cattaneo, M. and Redondi, R., 2021. Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19. Journal of Air Transport Management91, p.102007.

Suau-Sanchez, P., Voltes-Dorta, A. and Cugueró-Escofet, N., 2020. An early assessment of the impact of COVID-19 on air transport: Just another crisis or the end of aviation as we know it?. Journal of Transport Geography86, p.102749.

  

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The last version of the manuscript presents some useful adjustments and the paper can be proposed for the publication in this form.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

I recommend professional English editing. In addition, those formulas should not take that much space. The method is not new, why do the authors need to provide such detailed formulas which are not theirs and take pages?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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