Spatial distribution of China's industrial heritage and selection of sustainable tourism development model
Industrial heritage,known as"nostalgic landscape",is the core resource and important foundation for the development of industrial tourism.How to choose a suitable sustainable development model for industrial heritage tourism and make industrial heritage"live"through tourism has become an urgent issue in the sustainable development of industrial heritage.This paper takes five batches of industrial heritage released by the Ministry of Industry and Information Technology as the research objects,and studies the spatial distribution of industrial heritage in China,the influencing factors of industrial heritage tourism development and the sustainable development model of industrial heritage tourism.The study found that:(1)The industrial heritage exhibits a significant agglomeration in space,and the agglomeration centers mainly evolve between the urban agglomerations of Beijing-Tianjin-Hebei,Yangtze River Delta and Chengdu-Chongqing,agglomerating southwest towards northeast.The spatial distribution of cold and hot spots of the industrial heritage displays a clear core-edge structure centered on Jiangsu,Henan,and Shaanxi.The cold spots are mainly distributed in Tibet and Xinjiang in the west,and Guangdong and Hainan in the east.(2)The results of geographic detectors show that the main influencing factors of industrial heritage tourism development are tourism resource endowment,tourism development level,cultural industry development level and online attention of industrial tourism.The ranking of the explanatory power of the four main influencing factors is:cultural industry development level>tourism resource endowment>tourism development level>industrial tourism network attention.(3)Based on the detection results of the influencing factors of industrial heritage tourism development,we refined four sustainable development models:ecologicalization,urbanization,industrialization and networking.
industrial heritageindustrial tourismspatial distributioninfluencing factorssustainable development modelChina
万方数据
维普
