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<p>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.</p>

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Cultural transmission ability of urban heritage along the Jiangsu section of the Beijing–Hangzhou Grand Canal

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月15日

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  • Ningbo Peng,
  • Yinjia Chen,
  • Lixu Wang,
  • Chaokai Zhang,
  • Ye Zhu

摘要

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.