Research on the Influencing Factors of Hotel Booking for Traveling

Abstract

This article aims to delve into and identify the key factors that influence consumers’ consideration when choosing a hotel. To this end, this study carefully designed a variety of statistical and analytical methods such as linear regression, correlation analysis and random forest model, systematically analyzed a number of potential influencing factors, including hotel rating, rating quantity, price, whether parking service is provided, breakfast service and wireless network, in order to reveal the correlation between them and hotel selection. The results show that there is no significant linear relationship between price, hotel ratings and Wi-Fi availability and hotel selection. At the same time, through the importance test of the random forest model, this paper found that the number of ratings, the provision of parking services and the quality of breakfast services did not reach a significant level. Overall, these findings provide a new perspective on the understanding of the volatility in consumer demand for hotels.