Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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S&M2381 Research Paper of Special Issue
Published in advance: November 6, 2020

Spatial Identification and Development Sequence of Coal Mine Tourism Resources [PDF]

Qiu-Ju Wang, Zhi-Hong Wang, Jia-Li Zhou, and Shuang Dong

(Received May 12, 2020; Accepted August 25, 2020)

Keywords: industrial heritage, tourism resources, spatial pattern, nuclear density analysis, grid overlay analysis

This article comprehensively categorizes the importance of coal mines that operated during the history of modern coal mining from 1840 to 1970 and evaluates the value of the tourism resources of each coal mine. By combining the values of coal mine tourism resources and the point data on coal-resource-exhausted cities, the nuclear density analysis method is used to form corresponding nuclear density distribution maps; nuclear density reclassification and assignment and overlay analysis are used to identify the key cities and regions suitable for the development of coal mine industrial heritage tourism. On this basis, the development sequence and measures for the development of coal mine industrial heritage tourism are proposed. The study found that the integration of multiple spatial technology analysis methods can effectively solve the problems of spatial identification of coal mine tourism resources. Coal mine tourism resources are mainly concentrated in five regions: the northeast region, northern Huang-Huai, the northeast of central China and northwest China, the east of northwest China, and central Jiangnan. In the future, industrial heritage tourism should be developed according to the law of gradient development. Priority should be given to the development of areas with exhausted resources and a high value of tourism resources to gradually form four clusters of coal mine industrial heritage tourism corresponding to tourism resources.

Corresponding author: Shuang Dong

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