Abstract

This paper provides an analysis of China’s land border cultural heritage, aiming to offer guidance for its protection and development. The study compiled a comprehensive database of heritage sites and analyzed their mathematical characteristics based on quantity, type, and quality. The spatial pattern of the cultural heritage was described using kernel density analysis, spatial variability, and spatial correlation, while the driving mechanism was measured based on Geo-Detector model. The findings revealed that the land border areas of China have a total of 1227 cultural heritage, comprising two main types and 18 subtypes. National cultural heritage accounted for 22.74%, with ancient city ruins being the largest type of cultural heritage. The Southwest and Northeast regions of China exhibited high-high clusters and low-low clusters, respectively. Moreover, the study identified history of administrative succession, evolution of historical and cultural, altitude, distance from the city, population density, minority population ratio, urbanization process, and per capita GDP as significant factors impacting the spatial pattern of land border cultural heritage in China. Based on these findings, the study suggests that the government should invest more in border cultural heritage, improve transportation infrastructure in border areas, ensure dynamic inheritance and protection of cultural heritage, and promote the joint development of different types of cultural heritage. The research results will provide data support and decision-making reference for the sustainable development of cultural heritage in land border areas, and can provide a new perspective for the management of cultural heritage in similar areas.

Details

Title
Spatial pattern and influencing factors of land border cultural heritage in China
Author
Zhang, Shengrui 1   VIAFID ORCID Logo  ; Chi, Lei 1   VIAFID ORCID Logo  ; Zhang, Tongyan 1   VIAFID ORCID Logo  ; Ju, Hongrun 2   VIAFID ORCID Logo 

 Ocean University of China, Management College, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263) 
 Qingdao University, School of Tourism and Geography Science, Qingdao, China (GRID:grid.410645.2) (ISNI:0000 0001 0455 0905) 
Pages
187
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
e-ISSN
20507445
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2860450622
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.