Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Prediction of air travel demand using a hybrid artificial neural network (ANN) with Bat and Firefly algorithms: a case study

13 references·9 citing·48 second hop

FromToDepth

this work references cited by second hop

References

2003A latent class model for discrete choice analysis: contrasts with mixed logit1,894 cited
2007Customer segmentation revisited: The case of the airline industry197 cited
1996Global Airlines: Competition in a transnational industry168 cited
2000Airline hubs in Southeast Asia: national economic development and nodal accessibility159 cited
2015An analysis of African airlines efficiency with two-stage TOPSIS and neural networks140 cited
1997The Geography of Deregulation in the U.S. Airline Industry139 cited
2016Air transportation demand forecast through Bagging Holt Winters methods133 cited
2014Determinants of air travel demand in Middle Income Countries100 cited
1995Geography and Air Transport93 cited
2007Global Airlines: Competition in a Transnational Industry74 cited
2005Elasticities of demand for leisure air travel: A system modelling approach69 cited
1995The State and Liberalization: The Airline Industry in the East Asian NICs51 cited
1999The Asia-Pacific Rim's transport and telecommunications systems: spatial structure and corporate control since the mid-1980s26 cited

Cited by

2020A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

74 cited

2023Systematic review of passenger demand forecasting in aviation industry56 cited

2023Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models44 cited

2023Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach32 cited

2019An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study28 cited

2022An airport level framework for examining the impact of COVID-19 on airline demand23 cited

2023Air Traffic Demand Forecasting with a Bayesian Structural Time Series Approach17 cited

2022Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach14 cited

2022Predicting customer purpose of travel in a low-cost travel environment—A Machine Learning Approach12 cited