Spatial distribution of homestay and its influencing factors in the Yangtze River Delta of China
The rapid development of urban economy has accelerated the process of population migration from rural areas to cities and towns. Rural hollowing becomes a common phenomenon in the decaying traditional villages, which causes a series of problems, such as the idle and abandoned rural courtyards, the increasing empty nesters and left-behind women and children, the destroyed traditional buildings, the neglected and forgotten lack of local culture and so on. It is the urban middle class that has gradually become the main body of tourism consumption market, and advocate the necessity and importance of protecting traditional local culture and inheriting rural buildings. As essential tourism resource and reception facilities, homestay has become a new growth point of rural leisure tourism and a major breakthrough in rural activation and regional tourism development.In recent years, China's homestay industry has developed rapidly, and it has increasingly became an advanced development mode of tourism accommodation. Taking homestay in Yangtze River Delta as an example, which is the most developed agglomeration in the region, this paper based on the network crawler data of homestay and inn channel on 'qunar.com', uses nearest neighbor analysis and kernel density estimation to study its spatial distribution. And through stepwise regression analysis, it finds out: (1) homestay is characterized by high agglomeration in space, showing the multi-core cluster distribution, and the density of the homestay decreases from center to outer areas; (2) homestay is especially located around the periphery of developed cities, forming density centers; (3) taking 15 factors into account, such as economic environment, traffic condition, population condition, spending capacity, tourism market condition, tourism resources condition and environmental condition, we conclude that tourism revenue per unit area, number of A-level scenic spots, population density and regional GDP have significant positive impact on the density of homestay. In terms of influence, the tourism revenue per unit area> number of A-level scenic spots> population density> regional GDP.
Yangtze River Deltahomestayspace distributionagglomerationinfluencing factor
NETL
NSTL
万方数据
维普
