Use Online Data to Explore the Factors That Influence Foodie Tourists’ Dining

Abstract

Food, as part of tourism, attracts a large number of foodie tourists. Tourism researchers analyzed the factors influencing tourists' dining choices by studying the spatial distribution characteristics and emotional characteristics of tourists. This can provide a planning basis for the development of food and beverage in tourist destinations. This paper uses Qunar's tourist restaurant review data and food travel diaries, HDBSCAN algorithm, TF-IDF algorithm and Baidu AI open platform to obtain the dining space characteristics and emotional expression of food tourists, and obtains the following conclusions: (1) Food tourists prefer to eat nearby during travel, and the restaurants they choose are mostly concentrated in the main urban area; (2) Tourists will reduce their demand for the restaurant environment due to travel behavior, and the overall evaluation of the restaurant will be more affected by the taste of the dishes and the service of the restaurant; (3) Foodie tourists who come to Chongqing not only pay attention to the food and drink of Chongqing, but also pay attention to the local traditional culture. This has led Chongqing's tourism management department to formulate its own representative food tourism publicity according to the characteristics of the city.