Forecasting Air Traveling Demand for Saudi Arabia’s Low Cost Carriers

Alarfaj, Eman; Alghowinem, Sharifa

doi:10.1007/978-3-030-01054-6_84

Cited by 5 publications

(8 citation statements)

References 19 publications

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“…• It is more versatile than the classification algorithm. • The scope was limited to German airports [ 6 ] 2018 • Genetic Algorithms • Artificial Neural Networks • Classical linear regression • Impact of the Islamic holiday on Saudi Arabia’s Low-Cost Carrier passenger demand forecasting. • Different algorithms, such as Genetic Algorithms, Artificial Neural Networks, and classical linear regression, are compared and evaluated.…”

Section: Techniquesmentioning

confidence: 99%

“…These measures are used to compare the outcomes of different studies or competing models and to evaluate statistical hypotheses. GOFs are frequently used to assess the performance of forecasting models [ 6 ]. Evaluation measures are necessary to determine the quality of the trained model.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In matured markets, seasonality impacts aviation demand [14] Wrocław Representing seasonality indicator as a dummy variable to forecast aviation demand [6] Low-Cost Carrier (LCC)…”

Section: Polandmentioning

confidence: 99%

“… [ 64 ] China Big data from a variety of sources and daily demand forecasting assist tourist operators in developing a dynamic pricing strategy. [ 25 ] Seasonality Poland In matured markets, seasonality impacts aviation demand [ 14 ] Wrocław Representing seasonality indicator as a dummy variable to forecast aviation demand [ 6 ] Low-Cost Carrier (LCC) Saudi Arabia The study’s objective is on Muslim holidays and LCC in Saudi Arabia. [ 9 ] Saudi Arabia A comparison of LCCs and FSAs was conducted to the aviation demand growth.…”

Section: Introductionmentioning

confidence: 99%

“…Alarfaj and AlGhowinem [ 6 ] researched to improve LCC passenger demand prediction by considering Islamic holidays in Saudi Arabia. During festival season, millions of people from all over the world go to these destinations.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Systematic review of passenger demand forecasting in aviation industry

Zachariah¹,

Sharma

Kumar

2023

Multimed Tools Appl

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Forecasting aviation demand is a significant challenge in the airline industry. The design of commercial aviation networks heavily relies on reliable travel demand predictions. It enables the aviation industry to plan ahead of time, evaluate whether an existing strategy needs to be revised, and prepare for new demands and challenges. This study examines recently published aviation demand studies and evaluates them in terms of the various forecasting techniques used, as well as the advantages and disadvantages of each. This study investigates numerous forecasting techniques for passenger demand, emphasizing the multiple factors that influence aviation demand. It examined the benefits and drawbacks of various models ranging from econometric to statistical, machine learning to deep neural networks, and the most recent hybrid models. This paper discusses multiple application areas where passenger demand forecasting is used effectively. In addition to the benefits, the challenges and potential future scope of passenger demand forecasting were discussed. This study will be helpful to future aviation researchers while also inspiring young researchers to pursue careers in this industry.

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Section: Techniquesmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

“…In matured markets, seasonality impacts aviation demand [14] Wrocław Representing seasonality indicator as a dummy variable to forecast aviation demand [6] Low-Cost Carrier (LCC)…”

Section: Polandmentioning

confidence: 99%