Analysis of Flight Based Airport Passenger Arrival Patterns

Merve Gözde Sayın; Mustafa Bolat

Makale detayları

Analysis of Flight Based Airport Passenger Arrival Patterns

Yazarlar:

Merve Gözde Sayın | Mustafa Bolat

Yayıncı:

Sivas Cumhuriyet University

Ana Başlıklar:

Mühendislik

Dergi:

Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi Vol.1 Issue 1, pp.1-10

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001293814

pISSN:

3023-7203

Anahtar kelimeler:

Özet:

 Maintaining effective and successful work in uncertainty is challenging in a niche sector such as aviation and all industries and situations. The situation is a little more complicated, especially in a sector such as the aviation sector, where the rules are not stretched and where one should always be on the alert. For these reasons, it is precious for businesses that carry out airline operations to analyze arriving passengers and understand whether there is a pattern among passengers. Although there are many factors affecting the arrival patterns of passengers, some of them are particularly noteworthy. For example, factors such as whether the flight is domestic or international, the season in which the flight takes place, and the flight hours take place to provide a broad perspective on the arrival patterns of the passengers at the airport. For example, it can be stated that while passengers on international flights see earlier arrival patterns at the airport, last-minute arrivals are more frequent on domestic flights. Similarly, in domestic flights, different passenger arrival patterns have been determined for the arrival airport, depending on the seasonality of the countries. On the other hand, according to the seasonality of the nations for example, the opening of schools and national holidays, different passenger arrival patterns have been determined for the destination airport. Analyzes were carried out in Python and Excel and included case study outputs.

 Maintaining effective and successful work in uncertainty is challenging in a niche sector such as aviation and all industries and situations. The situation is a little more complicated, especially in a sector such as the aviation sector, where the rules are not stretched and where one should always be on the alert. For these reasons, it is precious for businesses that carry out airline operations to analyze arriving passengers and understand whether there is a pattern among passengers. Although there are many factors affecting the arrival patterns of passengers, some of them are particularly noteworthy. For example, factors such as whether the flight is domestic or international, the season in which the flight takes place, and the flight hours take place to provide a broad perspective on the arrival patterns of the passengers at the airport. For example, it can be stated that while passengers on international flights see earlier arrival patterns at the airport, last-minute arrivals are more frequent on domestic flights. Similarly, in domestic flights, different passenger arrival patterns have been determined for the arrival airport, depending on the seasonality of the countries. On the other hand, according to the seasonality of the nations for example, the opening of schools and national holidays, different passenger arrival patterns have been determined for the destination airport. Analyzes were carried out in Python and Excel and included case study outputs.

 Maintaining effective and successful work in uncertainty is challenging in a niche sector such as aviation and all industries and situations. The situation is a little more complicated, especially in a sector such as the aviation sector, where the rules are not stretched and where one should always be on the alert. For these reasons, it is precious for businesses that carry out airline operations to analyze arriving passengers and understand whether there is a pattern among passengers. Although there are many factors affecting the arrival patterns of passengers, some of them are particularly noteworthy. For example, factors such as whether the flight is domestic or international, the season in which the flight takes place, and the flight hours take place to provide a broad perspective on the arrival patterns of the passengers at the airport. For example, it can be stated that while passengers on international flights see earlier arrival patterns at the airport, last-minute arrivals are more frequent on domestic flights. Similarly, in domestic flights, different passenger arrival patterns have been determined for the arrival airport, depending on the seasonality of the countries. On the other hand, according to the seasonality of the nations for example, the opening of schools and national holidays, different passenger arrival patterns have been determined for the destination airport. Analyzes were carried out in Python and Excel and included case study outputs.

 Belirsizlik içerisinde etkili ve başarılı herhangi bir çalışma sürdürmek sadece havacılık gibi niş bir sektörde değil bütün sektörlerde ve durumlarda oldukça zorlayıcı bir durumdur. Özellikle havacılık sektörü gibi kuralları esnetilmeyen ve her daim tetikte olunması gereken bir sektörde durum biraz daha komplikedir. Bu sebeplerden ötürü gelen yolcuların analizini geçekleştirmek, yolcular içerisinde bir örüntü olup olmadığını anlamak havayolu operasyonları geçekeştiren işletmeler için oldukça değerlidir. Yolcuların havayoluna geliş örüntülerini etkileyen oldukça fazla faktör olmasına ragmen, özellikle bazıları dikkat çekmektedir. Örneğin, uçuşun yurtiçi ya da yurtdışı uçuşu olması, uçuşun hangi mevsimde gerçekleştiği, uçuşun hangi saatlerde gerçekleştiği gibi faktörler yolcuların havalimanına geliş örüntülerine dair oldukça geniş perspektifte bilgiler vermektedir. Uluslararası uçuşlarda bulunan yolcularda havalimanına daha erken geliş örüntüleri görürken, yurtiçi uçuşlarında son dakika gelişlerin daha sıklıkla olduğu belirtilebilir. Benzer şekilde, yurtiçi uçuşlarında bayram tatilleri veya dönemselliğe bağlı örneğin okulların açılması gibi durumlarda uçuşların yoğunlaştığı, öbür taraftan ülkelerin sezonsallık durumlarına göre varış havalimanı özelinde farklı yolcu geliş örünrtüleri tespit edilmiştir. Analizler Python ve Excel üzerinde geçekleştirilmiş olup, case study çıktılarına yer verilmiştir.

Makale detayları

Analysis of Flight Based Airport Passenger Arrival Patterns

Yazarlar:

Merve Gözde Sayın | Mustafa Bolat

Yayıncı:

Sivas Cumhuriyet University

Ana Başlıklar:

Mühendislik

Dergi:

Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi Vol.1 Issue 1, pp.1-10

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001293814

pISSN:

3023-7203

Pattern Analysis

Aviation

passenger

flightsUçuş

Yolcular

Analiz

yolcu modeli analizi

Sayı

Makale detayları

Yazarlar: Merve Gözde Sayın | Mustafa Bolat

Yayıncı: Sivas Cumhuriyet University

Ana Başlıklar: Mühendislik

Dergi: Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi Vol.1 Issue 1, pp.1-10

Belge Tipi: Makale

Yayın Tarihi: 10/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001293814

pISSN: 3023-7203

Sayı

Yazarlar:

Merve Gözde Sayın | Mustafa Bolat

Yayıncı:

Sivas Cumhuriyet University

Ana Başlıklar:

Mühendislik

Dergi:

Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi Vol.1 Issue 1, pp.1-10

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001293814

pISSN:

3023-7203