@article {chang_spatial-temporal_2023,
	title = {Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin},
	journal = {Sustainability},
	volume = {15},
	number = {3},
	year = {2023},
	note = {Publisher: MDPI},
	abstract = {In this study, the spatial-temporal distribution pattern and tourism utilization potential of national ICH are analyzed based on GIS technology in the Yellow River Basin. The results show that: (1) The national ICH of the Yellow River Basin is distributed in an aggregated spatial pattern with the characteristic of {\textquotedblleft}one belt and two cores{\textquotedblright}. The cities in Shanxi, Henan and Shandong provinces constitute the high-density and sub-high-density continuous belts. Haidong and Chengdu are the high-density and sub-high-density core areas, respectively. (2) The five batches of national ICH present a temporal distribution pattern of {\textquotedblleft}Northeast to Southwest{\textquotedblright}. The distribution scope of national ICH in medium and high-density areas expands gradually and finally tends to be balanced. (3) For the single-factor evaluation of tourism utilization potential, there is an obvious gap in the evaluation grade among the cities. However, for the comprehensive evaluation of tourism utilization potential, there are 72 cities with an evaluation grade of three or above, accounting for 63\%. This indicates that the tourism utilization potential of the national ICH in this basin is great. (4) The national ICH tourism in this basin can be developed from two aspects: regional differential development and regional linkage development.},
	keywords = {Chengdu, Cultural heritage, GIS, Haidong, Henan, Qinghai, Shandong, Shanxi, Sichuan, spatiotemporal analysis, temporal distribution, tourism development, Yellow River Basin},
	issn = {20711050},
	doi = {10.3390/su15032611},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147940321\&doi=10.3390\%2fsu15032611\&partnerID=40\&md5=ab9ea9310a4349c3611b782ad5ab12c3},
	author = {Chang, B. and Ding, X. and Xi, J. and Zhang, R. and Lv, X.}
}
