Research on the classification and spatial distribution of tourism resources and tourism development models in the Seto Inland Sea Area of Japan
This research targets a total of 3 704 tourism resource data from 1 prefecture and 10 counties in the Seto Inland Sea region,clarifies the classification and basis of tourism resources in the Seto Inland Sea region,and uses nearest neighbor index and kernel density estimation methods to analyze the spatial distribution pattern of tourism resources,further summarizing and condensing the tourism development model and experience in the Seto Inland Sea region.Re-search suggests that the typical tourism resources in the Seto Inland Sea region include five cate-gories:natural scenery,festivals,hot springs,art and culture,and religion.Each type of resource has obvious clustering characteristics in space.The overall tourism resources exhibit a pattern of"one pole with multiple points"and are concentrated and distributed along the coastline;Natural tourism resources are concentrated on the west and south coasts of the Seto Inland Sea,as well as the core area of the central archipelago,forming a"three center"pattern;The cultural tourism resources are concentrated in the economically developed urban areas on the north coast of the Seto Inland Sea,presenting a"two poles,one belt,and multiple centers"pattern.Festivals,arts,and cultural tourism resources have similar spatial distribution characteristics and are clustered in a belt shape along the coastline.Hot springs and religious tourism resources exhibit signifi-cant point-like clustering characteristics.The tourism development model in the Seto Inland Sea region has certain experiential and enlightening effects on the development of the tourism econo-my in China's coastal and island areas.Among them,the cultural and tourism model of"Art Is-land",the branding of characteristic tourism destinations and tourism destinations,and the eco-logical tourism and sustainable development model are particularly prominent.
Seto Inland Sea areatourism resourcesclassificationspace distributiontourism development models
NETL
NSTL
万方数据
