Year: 2018
Type: conference-paper
Abstract: The search of consumers under internet environment reflects the potential tourism demands of tourists.This paper takes Sanya as an example and attempts to use the traffic flow data related to Sanya tourism from August 2009 to March 2016 and the network search data to construct the input sets of SVR model.And this paper also forecasts the domestic tourists received in Sanya by applying the ABA-SVR model, thereinto the Adaptive Bat Algorithm, ABA is used to optimize the free parameters of Support Vector Regression model, SVR.The 12-month forecasting results and the significance testing show that this method can effectively improve the forecast accuracy of the model.The forecast results can provide necessary reference for the macro-administration of policymaking departments related to tourism.
Authors: Binru Zhang, Yulian Pu
Institution: Yangtze Normal University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W2890625947