Prediction for passenger throughput of the western regional airport based on multiple stepwise regression-gray model

Yichen Sun; Qichao Wang

doi:10.1117/12.2673926

6 April 2023 Prediction for passenger throughput of the western regional airport based on multiple stepwise regression-gray model

Yichen Sun, Qichao Wang

Author Affiliations +

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 1261520 (2023) https://doi.org/10.1117/12.2673926
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

The passenger throughput of a regional airport is an important indicator for measuring the development of a region and the basis for achieving the effective allocation of airport resources. Considering the factors affecting the passenger throughput of a western regional airport in China, this paper analyzed the correlation and significance between the factors and the passenger throughput. The stepwise regression method was used to reduce the dimension of original data and obtain the optimal regression model, and the gray model was used to predict the feature parameters. To verify the rationality of the passenger throughput prediction model, multiple linear regression and grey models were used to predict the passenger throughput in the same year and to compare them. The RMSE, MAPE and R² calculations indicate that: in terms of prediction stability, accuracy and fitting accuracy, the stepwise regression model and multiple linear regression model are better than the gray model, but the multiple linear regression prediction results are large. It means that the combination of stepwise regression and gray model can overcome the shortcomings of a single model, and make the prediction results more scientific and reasonable.

Citation Download Citation

Yichen Sun and Qichao Wang "Prediction for passenger throughput of the western regional airport based on multiple stepwise regression-gray model", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 1261520 (6 April 2023); https://doi.org/10.1117/12.2673926

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