Distribution Characteristics and Image Perception Differences of Urban and Rural Tourist Attractions: A Case of Beijing

Abstract

Under the background of urban-rural integration development, how to promote the coordinated development of urban-rural tourism has become a research hotspot. In order to excavate the cultural connotation of scenic spots, cultivate the growth point of characteristic tourism, strengthen the interaction between urban and rural tourism, and realize the goal of win-win regional tourism. This paper takes 209 popular tourist attractions in Beijing as the research object, crawls the scenic spot POI and comment text data from the Ctrip travel network, and uses text mining and spatial statistical analysis to explore the spatial distribution characteristics and image perception differences of urban and rural tourist attractions. The results show that: 1) Tourist attractions in Beijing have obvious spatial agglomeration characteristics, and the agglomeration degree of urban attractions is higher than that of rural attractions. 2) The overall image perception of Beijing tourist attractions is positive, and the network attention and emotional values of urban attractions are generally higher than those of rural attractions. 3) The network attention pattern of urban scenic spots is basically consistent with the emotional spatial distribution pattern of scenic spots, and the network attention pattern of rural scenic spots is significantly different from the emotional spatial distribution pattern of scenic spots. Research shows that there are great differences in spatial distribution characteristics and image perception between urban and rural tourist attractions in Beijing. Analyzing the natural and humanistic factors behind the differences can provide effective guidance for the coordinated development of urban and rural tourism.