Golden Week Tourist Flow Forecasting Based on Neural Network

Golden week is a collection of national holidays within seven days. Accurate forecast of tourist flow will boost the business of tourism and optimize the allocation of resources. In this paper, taking Chinese golden week as a case study, we implement a forecasting procedure based on a hybrid model using Kalman filter and neural network. The result of this technique is evaluated and compared with other common forecasting models. We conclude that the hybrid model is effective and outperforms the other methods.