The evaluation of factors influencing flight delay at popular destinations of Czech tourists

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F16%3AN0000059" target="_blank" >RIV/71226401:_____/16:N0000059 - isvavai.cz</a>

Výsledek na webu

<a href="http://mme2016.tul.cz/conferenceproceedings/mme2016_conference_proceedings.pdf" target="_blank" >http://mme2016.tul.cz/conferenceproceedings/mme2016_conference_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The evaluation of factors influencing flight delay at popular destinations of Czech tourists

Popis výsledku v původním jazyce

The main goal of this paper was assessment of factors influencing flights delay at selected international airports including Antalya, Burgas, Charles de Gaulle, Heraklion, Hurghada, Palma de Mallorca and Rhodes. Data of an Airline company, whose flights are mainly oriented on favourite destinations of Czech tourists, were used for needs of this article. Results from analysis showed that delays are the most frequent in Palma de Mallorca and the least often in Burgas airport. It was proved that delays caused by delay of preceding flight are the most common cause of delay at all. Only at Charles de Gaulle airport there was also found out that delay is also quite often caused by problems at the airport and in the flight traffic, by unusual events and also by airlines and suppliers. Delayed preceding flights cause mainly longer delay of connecting flight. Contingency tables present an easy way to display the relationship between categorical data. We used the Pearson's chi-square test; the null hypothesis of the test assumes independence of variables. Correspondence analysis aims to reduce the multidimensional space of row and column profiles and to save the original data information.

Název v anglickém jazyce

The evaluation of factors influencing flight delay at popular destinations of Czech tourists

Popis výsledku anglicky

The main goal of this paper was assessment of factors influencing flights delay at selected international airports including Antalya, Burgas, Charles de Gaulle, Heraklion, Hurghada, Palma de Mallorca and Rhodes. Data of an Airline company, whose flights are mainly oriented on favourite destinations of Czech tourists, were used for needs of this article. Results from analysis showed that delays are the most frequent in Palma de Mallorca and the least often in Burgas airport. It was proved that delays caused by delay of preceding flight are the most common cause of delay at all. Only at Charles de Gaulle airport there was also found out that delay is also quite often caused by problems at the airport and in the flight traffic, by unusual events and also by airlines and suppliers. Delayed preceding flights cause mainly longer delay of connecting flight. Contingency tables present an easy way to display the relationship between categorical data. We used the Pearson's chi-square test; the null hypothesis of the test assumes independence of variables. Correspondence analysis aims to reduce the multidimensional space of row and column profiles and to save the original data information.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

34th International Conference Mathematical Methods in Economics 2016 Conference Proceedings

ISBN

978-80-7494-296-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

910-915

Název nakladatele

Technical University of Liberec

Místo vydání

Liberec

Místo konání akce

Liberec

Datum konání akce

6. 9. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000385239500156