Air Cargo Demand Prediction on Selected Routes by Holt-Winter Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00362088" target="_blank" >RIV/68407700:21260/22:00362088 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/NTCA55899.2022.9934392" target="_blank" >https://doi.org/10.23919/NTCA55899.2022.9934392</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/NTCA55899.2022.9934392" target="_blank" >10.23919/NTCA55899.2022.9934392</a>
Alternative languages
Result language
angličtina
Original language name
Air Cargo Demand Prediction on Selected Routes by Holt-Winter Algorithm
Original language description
Freight transported by air plays an important role in world economics. The covid pandemic had an unprecedently negative impact on passenger air transport, but air cargo maintained its performance. We could even see significant increase in some markets. Due to the increased demand for freight, the airlines had to deal with a shortage of capacity. This situation showed us, the importance of planning and optimizing the cargo fleet. One of the input factors for decision-making is the development of demand. This research was focused on the prediction of the air cargo demand on five routes: two within Europe, two Europe-Asia, and one Europe-N. America. The main source of data was the Eurostat database (data by months 1/2015-12/2020). Metric used was the weight of freight loaded and unloaded between selected cities in tonnes. Statistical significance of the data was assessed using linear and quadratic regression analysis. The prediction was performed using the Holt-Winter algorithm (1/2021-4/2022). One of the selected routes proved to be very demanding in terms of increasing traffic. The rest of the routes showed less increase in volume of air cargo transport. Validation of the method/prediction was performed by evaluating real data for the same period.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50204 - Business and management
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 New Trends in Civil Aviation (NTCA)
ISBN
978-80-01-06985-1
ISSN
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e-ISSN
2694-7854
Number of pages
5
Pages from-to
87-91
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Oct 26, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000895902200012