Prediction of rural tourism suitability based on multi-dimensional evaluation model

Abstract

There is an increased focus on how to improve tourism quality in rural areas. To provide reference and guidance for both tourists and tourism departments, a multi-dimensional tourism suitability model is proposed. Meteorological, travel and other data related to a tourism area were analysed, and a tourism suitability evaluation architecture model was developed. From February to September, when temperature fluctuations were more clearly defined, the prediction accuracy of the model was higher, while the test results of the root mean square error and other indicators of the model in meteorological prediction were good. The model had the highest prediction accuracy of 96.8% under multi-dimensional conditions. The model could provide accurate guidance for tourists to choose travel dates and destinations, further promoting rural tourism.