Spatial agglomeration pattern of homestay inn and influencing factors based on the comparison of Hangzhou, Huzhou, and Enshi cities

Abstract

In recent years, homestay inn has developed and matured based on its personalized services and cozy accommodation experience. Its spatial agglomeration also promotes the homestay inn industry to grow in clusters and become specialized. This study chose Hangzhou City in Zhejiang Province, Huzhou City in Zhejiang Province, and Enshi City in Hubei Province, which are the typical areas of the homestay inn industry, as cases. Based on the homestay inn data of Tujia.com, this study used global spatial association indicators and Getis-Ord Gi* index to explore the agglomeration pattern and influencing factors of the three areas. The spatial distributions of homestay inn in Hangzhou, Huzhou, and Enshi Cities all show an agglomeration pattern, and the largest hot spot region of Hangzhou spreads around the city center. The spatial agglomeration pattern of homestay inn of Hangzhou is based on locations within the city. The hot spot region of homestay inn in Huzhou is far away from the city center and spreads around the Mogan Mountains. The spatial agglomeration pattern of homestay inn of Huzhou is based on the regional brand. The hot spot region of Enshi homestay inn consists of three small hot spots, which are all connected to the scenic spots. The spatial agglomeration pattern of homestay inn of Enshi is based on the scenic spots. Through the analysis of location, transportation, tourism resources, and regional brands of the three areas, the study showed that location is the basis of the agglomeration of homestay inn in cities. Regional brand is a booster to promote the agglomeration of homestay inn. Tourism resources are the early motivation of clustering for homestay inn. Road transportation is a guarantee for the clustering and expansion of the homestay inn. The conclusions provide a useful reference for choosing reasonable locations for homestay inn and allocating resources rationally.