Identification and analysis of urban fabric considering external space: Taking Shanghai as an example

Urban fabric preservation is a crucial objective in urban conservation. Identifying fabric types is essential for protecting and maintaining urban fabric. However, precise methods for identifying fabric types are lacking. This study expands the concept of fabric from the similarity of individual buildings to the similarity of buildings and the external spaces between them, as well as from a two-dimensional relationship to a three-dimensional perspective. A K-means clustering method, which uses building footprint area, building height, and exterior building space area as primary indicators, is proposed for urban fabric identification. The manifestation patterns of urban fabric in various areas of Shanghai are examined as a case study. Results shows: first, the identification method proposed in this study has a good identification effect, with an identification rate of 77%. Second, four types of urban fabrics constitute the main urban fabric of Shanghai. Third, the implementation of policies such as the delineation of historic and culture areas has played a certain role in the protection of historical fabric, but the historical fabric of unprotected areas is disappearing rapidly, better conservation policies are urgently needed. This study develops fabric identification method and analyses the fabric of Shanghai’s urban area, providing valuable insights for research in urban morphology theories and methods, as well as urban preservation and revitalisation practices.

Authors

Institutions

Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2025-05-25
DOI
https://doi.org/10.1177/23998083251346586
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and analysis of urban fabric considering external space: Taking Shanghai as an example

Kaike Li, Ruiqi Shan
Environment and Planning B Urban Analytics and City Science
Urban Design and Spatial Analysis
article

Identification and analysis of urban fabric considering external space: Taking Shanghai as an example

Kaike Li, Ruiqi Shan
article en

Abstract

Urban fabric preservation is a crucial objective in urban conservation. Identifying fabric types is essential for protecting and maintaining urban fabric. However, precise methods for identifying fabric types are lacking. This study expands the concept of fabric from the similarity of individual buildings to the similarity of buildings and the external spaces between them, as well as from a two-dimensional relationship to a three-dimensional perspective. A K-means clustering method, which uses building footprint area, building height, and exterior building space area as primary indicators, is proposed for urban fabric identification. The manifestation patterns of urban fabric in various areas of Shanghai are examined as a case study. Results shows: first, the identification method proposed in this study has a good identification effect, with an identification rate of 77%. Second, four types of urban fabrics constitute the main urban fabric of Shanghai. Third, the implementation of policies such as the delineation of historic and culture areas has played a certain role in the protection of historical fabric, but the historical fabric of unprotected areas is disappearing rapidly, better conservation policies are urgently needed. This study develops fabric identification method and analyses the fabric of Shanghai’s urban area, providing valuable insights for research in urban morphology theories and methods, as well as urban preservation and revitalisation practices.

Environment and Planning B Urban Analytics and City Science
Zhejiang University of Technology (CN), Zhejiang University of Finance and Economics (CN)
Openalex Percentile: Top 88%
Urban Design and Spatial Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identification and analysis of urban fabric considering external space: Taking Shanghai as an example — Kaike Li, Ruiqi Shan · Environment and Planning B Urban Analytics and City Science (2025) | TGRS Research Map | TGRS