The spatial pattern characteristics and tourism development mode of intangible cultural heritage resources in Pujiang County,Jinhua
Based on the cultural tourism census and field survey data of Pujiang County,quantitative statis-tics,location entropy,and GIS spatial analysis techniques were adopted to explore the spatial distribution characteristics and tourism development models of intangible cultural heritage resources in Pujiang County.The results showed that:1)The overall spatial distribution pattern of intangible cultural heritage resources in Pujiang County was characterized by a"dual core-two wings-three points"pattern,with a tendency towards ar-eas with abundant water systems and convenient transportation.However,the overall agglomeration character-istics were not significant,but there was a significant tendency at the township level.2)There were 11 types of intangible cultural heritage resource structure in Pujiang County,with significant differences in development and regional characteristics.Among them,traditional techniques were the main focus and the distribution was relatively balanced,while other types had a significant agglomeration trend.3)There were three types of tourism development for intangible cultural heritage resources in Pujiang County.Firstly,the tourism develop-ment could be rooted in the cultural attributes of intangible cultural heritage resources and the commodity econ-omy to form a commodity development model.Secondly,the collaborative development mode that combine the core of cultural landscapes with national level scenic areas colud be considered.Thirdly,the"points→lines→areas"comprehensive development model that relied on the overall tourism resources of the entire region would be of benefit.The relevant suggestions colud provide theoretical support and practical reference for the tourism development of local intangible cultural heritage resources.
Pujiang Countyintangible cultural heritage resourcescharacteristics of spatial patternlocation entropytourism development
NETL
NSTL
万方数据
