Heritage Science (Apr 2024)

Quantitative research on the degree of disorder of traditional settlements: a case study of Liangjia Village, Jingxing, Hebei Province

  • Peng Peng,
  • Yating Fu,
  • Xiangyun Zhou,
  • Shaopu Wu,
  • Jiajie Zhao,
  • Yuechen Zhang

DOI
https://doi.org/10.1186/s40494-024-01223-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 21

Abstract

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Abstract Traditional settlements are vital carriers of Chinese history and culture, reflecting the direct and original needs of generations. However, the modernization of settlements will inevitably disrupt the spontaneous growth patterns inherent in traditional settlements. The degree of disorder of the settlement is not only the embodiment of its form, but also the concrete manifestation of its construction intention. We use the degree of disorder in settlements to assess the construction intentions of the settlements, the results allow us to assess whether new planning aligns with the original construction logic, thereby assessing the extent of interference by modernization in traditional villages. This can provide guidance and assistance for settlement conservation and future planning. By using the Delaunay triangulation network, street polar histogram and direction entropy, and comprehensibility of settlements, this paper quantitatively analyzes the degree of disorder in the three levels of architecture, street and local environment of the settlement. Liangjia Village, the example in this research, is divided into three areas—two new and one old. degree of disorders in architecture, streets, and local environment are calculated and compared with the overall settlement. The study finds that the construction logic for buildings and streets remains stable throughout development. However, notable differences exist in environmental construction principles between new and old sections. The analysis suggests that traditional settlements, guided by inherent principles, maintain stability under external influences, serving as a benchmark for future planning and modernization decisions.

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