Cultural transmission ability of urban heritage along the Jiangsu section of the Beijing–Hangzhou Grand Canal
Source abstract
Abstract
The Beijing-Hangzhou Grand Canal, the world’s longest man-made waterway, has had a profound impact on Chinese social, economic, and cultural development, forming a typical linear cultural belt. This study focuses on the urban heritage of cities along its Jiangsu section. Social media data from platforms such as Douyin and Weibo were collected, and a quantitative evaluation system was developed using the Entropy Weight-TOPSIS method to assess the cultural transmission ability (CTA) of heritage sites and analyze key influencing factors. Spatial analysis methods were applied to examine distribution patterns. The results show that: (1) secondary dissemination indicators, including Weibo reposts and Douyin favorites and shares, contribute over 43% to CTA; (2) CTA exhibits spatial clustering, mainly in Suzhou, Wuxi, and Yangzhou; (3) CTA is positively correlated with heritage site concentration, and well-developed transportation infrastructure promotes transmission; (4) architectural heritage has significantly higher CTA than archaeological and burial sites.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Cultural Heritage Management and Preservation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (40)
Show source-provided references
1. Jin, Y., Zhang, Y. & Hou, B. Pathways and mechanisms of heritage tourism utilization of the Grand Canal from an evolutionary perspective: a case study of cities along the Jiangsu-Zhejiang section of the Grand Canal in China. Tour. J. 39, 53–70 (2024).
2. Sun, S., Zhang, L. & Zhu, X. Knowledge representation and semantic enhancement framework construction of linear heritage resources under the background of cultural big data (in Chinese). Mod. Inf. 43, 96–111 (2023).
3. Zhang, S. et al. Tourism value assessment of linear heritage: the case of the Beijing–Hangzhou Grand Canal in China. Curr. Issues Tour. 26, 47–69 (2023).10.1080/13683500.2021.2014791 ↗
4. Li, Y. & Zheng, N. Integral protection of heritage of the Grand Canal of China: a perspective of cultural spaces. Sci. Technol. 2, 60–69 (2020).
5. Huang, W., Xi, M., Lu, S. & Taghizadeh, F. Rise and fall of the Grand Canal in the ancient Kaifeng City of China: role of the Grand Canal and water supply in urban and regional development. Water 13, 1932 (2021).10.3390/w13141932 ↗
6. Fang, L., Cheng, X. & Yao, G. Research on the strategy of promoting the coordinated development of Grand Canal water transport and other transport modes, taking Jiangsu as an example. Sustainability 15, 15314 (2023).10.3390/su152115314 ↗
7. Xu, C., Cao, L., Wang, J., Kong, F. & Wang, N. Coupling coordination relationship between ecosystem services and economic development in the Jiangsu section of the Beijing-Hangzhou Grand Canal and identification of contributing/ barrier factors (in Chinese). Acta Ecologica Sinica. 1, 1–17 (2015).
8. Zhang, Y. et al. Habitat quality assessment and ecological risks prediction: an analysis in the Beijing-Hangzhou Grand Canal (Suzhou section). Water 14, 2602 (2022).10.3390/w14172602 ↗
9. Zhang, Y. et al. On conservation of world heritage Beijing-Hangzhou Grand Canal for enhancing cultural ecosystem services. Herit. Sci. 11, 269 (2023).10.1186/s40494-023-01101-4 ↗
10. Xu, Y., Hu, D., He, H., Zhang, Z. & Bian, D. Spatial and temporal evolution characteristics of the ecosystem service value along the Beijing–Hangzhou Grand Canal. Appl. Sci. 14, 8295 (2024).10.3390/app14188295 ↗
11. Ge, H. & Liu, Y. Exploration and enlightenment of heritage distribution in the Jiangsu section of the Beijing-Hangzhou Grand Canal (in Chinese). J. Econ. Water Resour. 42, 72–78 (2024).
12. Yang, J. et al. Analysis of spatial and temporal distribution patterns of traditional opera culture along the Beijing–Hangzhou Grand Canal. Int. J. Geo Inf. 12, 477 (2023).
13. Li, L. Cultural communication and diversity along the Grand Canal of China: a case study of folk songs in intangible heritage. Herit. Sci. 11, 66 (2023).10.1186/s40494-023-00911-w ↗
14. Huang, Y. & Yang, S. Spatio-temporal evolution and distribution of heritage sites along the Suzhou canal of China. Herit. Sci. 11, 188 (2023).10.1186/s40494-023-01034-y ↗
15. Zhou, B., Meng, Y., Li, X. & Liu, S. Study on the spatial differentiation and influencing factors of settlement heritage in the cultural belt of the Grand CanalvJiangsu-Zhejiang section) (in Chinese).Resour. Environ. Yangtze Basin 33, 1942–1952 (2024).
16. Shi, G. et al. An analysis of the spatiotemporal distribution and influencing factors of national intangible heritage along the Grand Canal of China. Sustainability 16, 9138 (2024).10.3390/su16209138 ↗
17. Zhang, S., Zhang, X. & Liu, J. Spatial distribution and pedigree age of intangible heritage along the Grand Canal of China. Herit. Sci. 12, 246 (2024).10.1186/s40494-024-01357-4 ↗
18. Chen, M., Wang, J., Sun, J., Ye, F. & Zhang, H. Spatio-temporal distribution characteristics of intangible heritage and tourism response in the Beijing-Hangzhou Grand Canal Basin in China. Sustainability 15, 10348 (2023).10.3390/su151310348 ↗
19. Rong, Q. & Wang, J. Interpreting heritage canals from the perspective of historical events: a case study of the Hangzhou section of the Grand Canal, China. J. Asian Architect. Build. Eng. 20, 260–271 (2021).10.1080/13467581.2020.1794882 ↗
20. Vidaurre-Rojas, P. et al. A social media adoption strategy for cultural dissemination in municipalities with tourist potential: Lamas, Peru, as a case study. Built Herit. 8, 12 (2024).10.1186/s43238-024-00128-1 ↗
21. Liu, K. et al. Bibliometric and visual analysis of sustainable preservation of heritage gardens. Herit. Sci. 12, 355 (2024).10.1186/s40494-024-01483-z ↗
22. Shan, C. & Xi, Z. Historic urban landscape of Ming and Qing dynasties in Jiangsu section of the Grand Canal: taking Huaian as an example (in Chinese).Architect. Culture 2022, 192–194 (2022).
23. Zhang, H. & Hou, B. Research on the coordinated development of heritage tourism in the Jiangsu section of the Grand Canal from the perspective of spatial structure theory (in Chinese).J. Sichuan Tourism Univ 2020, 72–75 (2020).
24. Dong, T. Research On Digital Art Communication Of Chinese Elements In The Internet Era (in Chinese). (Southeast University, 2020).
25. Peng, N. et al. A vulnerability evaluation method of earthen sites based on entropy weight-TOPSIS and K-means clustering. Herit. Sci. 12, 161 (2024).10.1186/s40494-024-01273-7 ↗
26. Yue, J., Yang, Q., Luo, Z., Chen, W. & Yue, M. Evaluation of surface weathering degree of brick historical buildings based on GLCM-entropy weight TOPSIS: a case study in the Kaifeng City Wall. Int. J. Architect. Heritage 2025, 1–18 (2025).
27. Wang, D., Wang, Y., Shen, X., Wan, J. & Cui, K. Quantitative assessment of the peeling on earthen heritage sites using an improved rank sum ratio. Int. J. Architect. Heritage 2024, 1–18 (2024).
28. Xu, S., Wang, J. & Peng, Z. Study on the promotional effect and mechanism of new quality productive forces on green development. Sustainability 16, 8818 (2024).10.3390/su16208818 ↗
29. Zhu, Y., Tian, D. & Yan, F. Effectiveness of entropy weight method in decision-making. Math. Probl. Eng. 2020, 1–5 (2020).
30. Shannon, C. E. A mathematical theory of communication. Sigmob. Mob. Comput. Commun. Rev. 5, 3–55 (2001).10.1145/584091.584093 ↗
31. Luo, Y. & Li, Y. Comprehensive decision-making of transmission network planning based on entropy weight and grey relational analysis. Electr. Power Autom. Equip. 37, 77–81 (2013).
32. Wen, Z. Structural Heterogeneity Evaluation Model Of Coal Reservoirs Based On Hierarchical Entropy Weight Method (in Chinese). (China University of Mining and Technology, 2023).
33. Hwang, C.-L. & Yoon, K. Methods for multiple attribute decision making. In Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, 186 (Heidelberg: Springer Berlin Heidelberg; 1981).10.1007/978-3-642-48318-9 ↗
34. Zhang, L., Wang, Y., Zhang, J., Zhang, S. & Guo, Q. Rockfall hazard assessment of the slope of Mogao Grottoes, China based on AHP, F-AHP and AHP-TOPSIS. Environ. Earth Sci. 81, 337 (2022).10.1007/s12665-022-10508-4 ↗
35. Eshimiakhe, D., Jimoh, R., Suleiman, M. & Lawal, K. Improved cluster analysis of Werner solutions for geologic depth estimation using unsupervised machine learning. Kuwait J. Sci. 51, 100144 (2024).10.1016/j.kjs.2023.10.011 ↗
36. Macqueen, J. Some methods for classification and analysis of multivariate observations. Proc. Fifth Berkeley Symp. Math. Stat. Probab. 1, 281–297 (1967).
37. Yang, J. & Zhao, C. Survey on K-means clustering algorithm. Comput. Eng. Appl. 55, 7–14 (2019).
38. Okabe, A., Satoh, T. & Sugihara, K. A kernel density estimation method for networks, its computational method and a GIS‐based tool. Int. J. Geogr. Inf. Sci. 23, 7–32 (2009).10.1080/13658810802475491 ↗
39. Fu, J. & Mao, H. Study on the spatiotemporal distribution patterns and influencing factors of heritage: a case study of Fujian Province. Herit. Sci. 12, 324 (2024).10.1186/s40494-024-01437-5 ↗
40. Thompson, A. E. et al. Ancient Lowland Maya neighborhoods: average nearest neighbor analysis and kernel density models, environments, and urban scale. Plos One 17, e0275916 (2022).10.1371/journal.pone.0275916 ↗