In-Site Phenotype of the Settlement Space along China’s Grand Canal Tianjin Section: GIS-sDNA-Based Model Analysis

Yan Zhao, Jian Wei Yan, Yan Li, Guang Meng Bian*, Y. Du

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
45 Downloads (Pure)


The settlement space along China’s Grand Canal composes an important part of the Canal heritage, has a close bearing on the production and life of the residents there, nourishes rich culture and wisdom and boasts vital value of conservation and inheritance. Due to China’s rapid urbanization and industrialization, the settlements along the canal have been destroyed to some extent and their in-site characteristics urgently need excavation and conservation. Through field investigation, space syntax and GIS analysis, this paper performs quantitative analysis of the in-site characteristics of 18 typical rural settlements there. The findings show that: (1) The settlement space of industry dominant type for commerce and trade is comparatively dynamic and the capacity of topology and integration and the attractive force of the settlement center are stronger. (2) The dynamic scope of the citizens’ everyday traveling in the settlements has the closest correlation with the data of public-service facilities. (3) The settlements along the canal boast multiple, causal and blended in-site phenotype. The research findings provide new standards to categorize the settlements along China’s Grand Canal, paths and methods to explore the characteristics of the settlements and new cognitive perspectives to conserve and renew the settlements along China’s Grand Canal Tianjin Section.

Original languageEnglish
Article number394
Issue number4
Publication statusPublished - 2022


  • China’s Grand Canal
  • GIS-sDNA
  • in-site phenotype
  • settlement space
  • Tianjin Section


Dive into the research topics of 'In-Site Phenotype of the Settlement Space along China’s Grand Canal Tianjin Section: GIS-sDNA-Based Model Analysis'. Together they form a unique fingerprint.

Cite this