Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage in the Grand Canal Cultural Belt

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This study examined the spatial distribution of intangible cultural heritage in the Grand Canal Cultural Belt, finding it clustered around developed central regions and core canal cities, primarily influenced by human factors like inheritors and financial support.

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This preprint analyzes the spatial distribution characteristics and development process of national intangible cultural heritage (ICH) items in the Grand Canal Cultural Belt using geographical space-time analysis and Geodetector, guided by a “man-land relationship areal system” framework. The authors report that national ICHs cluster along developed central regions (Beijing, Tianjin, Hebei, Jiangsu, Zhejiang), with canal-linked high administrative and economic areas and historical-cultural cities as key core clusters at provincial/municipal scales, and that the narrow Grand Canal Cultural Belt is the main gathering area for all types of national ICHs. They find that ICHs across different batches show a cohesion trend toward canal-adjacent “always-point” areas, and Geodetector results indicate human factors explain more variance than natural factors, with inheritors and financial support for cultural tourism as the most significant human factors. The paper’s main explicit caveat is that it is a preprint not peer reviewed by a journal. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract The spatial distribution characteristics and development process of national Intangible Cultural Heritage items (ICHs) in the Grand Canal Cultural Belt are closely related to the excavation and passage of the canal. Guided by the theory of the "man-land relationship areal system", the study used geographical space-time analysis to explore the spatial distribution characteristics of national ICHs in the broader and narrower Grand Canal Cultural Belt and measured the factors affecting the spatial distribution of ICHs in both quantitative and qualitative terms. The results show that: (1) The national ICHs in the Grand Canal Cultural Belt as a whole closely follow the developed central regions of Beijing, Tianjin, Hebei, Jiangsu, Zhejiang to form a cluster and take the high administrative level, economic development areas and historical and cultural cities along the canal as the core cluster areas in the provincial and municipal scales; (2) The Grand Canal Cultural Belt in a narrow sense is the main gathering area for all types of national ICHs, especially in the core cities along the canal, such as Beijing, Tianjin, Langfang, Suzhou, Wuxi, Hangzhou, Shaoxing, Ningbo. (3) the evolution trend of national ICHs in the Grand Canal Cultural Belt of different batches shows the cohesion trend to the canal always point area, and the core cities along the canal are still the main distribution areas of national ICHs in different batches, which further proves the close correlation between the canal and ICHs; (4) The results of Geodetector show that human factors have stronger explanatory power than natural factors, and the closer to the canal, the influence of human factors and natural factors on the spatial distribution of national ICHs are increased. Among human factors, the inheritors and financial support for cultural tourism are the most significant. The historical factors shape the depth of the connotation of ICHs in the historical space and time. The above study shows that a good natural and cultural ecological space of the canal is an important guarantee for the effective protection and adaptive use of national ICHs in the Grand Canal Cultural Belt.
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Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage in the Grand Canal Cultural Belt | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage in the Grand Canal Cultural Belt min jiao, lu lu, tianyu li, baoyi lu, yiyi zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4592739/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The spatial distribution characteristics and development process of national Intangible Cultural Heritage items (ICHs) in the Grand Canal Cultural Belt are closely related to the excavation and passage of the canal. Guided by the theory of the "man-land relationship areal system", the study used geographical space-time analysis to explore the spatial distribution characteristics of national ICHs in the broader and narrower Grand Canal Cultural Belt and measured the factors affecting the spatial distribution of ICHs in both quantitative and qualitative terms. The results show that: (1) The national ICHs in the Grand Canal Cultural Belt as a whole closely follow the developed central regions of Beijing, Tianjin, Hebei, Jiangsu, Zhejiang to form a cluster and take the high administrative level, economic development areas and historical and cultural cities along the canal as the core cluster areas in the provincial and municipal scales; (2) The Grand Canal Cultural Belt in a narrow sense is the main gathering area for all types of national ICHs, especially in the core cities along the canal, such as Beijing, Tianjin, Langfang, Suzhou, Wuxi, Hangzhou, Shaoxing, Ningbo. (3) the evolution trend of national ICHs in the Grand Canal Cultural Belt of different batches shows the cohesion trend to the canal always point area, and the core cities along the canal are still the main distribution areas of national ICHs in different batches, which further proves the close correlation between the canal and ICHs; (4) The results of Geodetector show that human factors have stronger explanatory power than natural factors, and the closer to the canal, the influence of human factors and natural factors on the spatial distribution of national ICHs are increased. Among human factors, the inheritors and financial support for cultural tourism are the most significant. The historical factors shape the depth of the connotation of ICHs in the historical space and time. The above study shows that a good natural and cultural ecological space of the canal is an important guarantee for the effective protection and adaptive use of national ICHs in the Grand Canal Cultural Belt. Earth and environmental sciences/Environmental social sciences/Sustainability Earth and environmental sciences/Environmental sciences/Environmental impact Man-land relationship Geodetector National Intangible Cultural Heritage Beijing-Hangzhou Grand Canal Grand Canal Cultural Belt Grand Canal National Cultural Park Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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