Evaluation of urban morphological resilience in Xi’an Hui historical districts in China

Urban Hui historical districts in northwestern China represent complex systems characterized by a profound integration of social, cultural, and spatial dimensions. However, research on spatial morphological resilience in such contexts remains underdeveloped, and a comprehensive analytical framework has yet to be established—particularly at the micro-scale, where operationalization is still lacking. Grounded in theoretical foundations, this study advances the concept of spatial morphological resilience by integrating knowledge from urban morphology, socio-ecological resilience science, and complex adaptive systems theory. It aligns the three spatial dimensions of morphological organization with the distinctive attributes of Hui communities in northwestern China, thereby constructing a multidimensional assessment framework encompassing “behavioral space adaptability,” “social space stability,” and “physical space diversity.”Taking the Hui community around the Drum Tower in Xi’an as a case study, the research reveals the following spatial resilience pattern: eight morphological regions exhibit high resilience, 26 show relatively high resilience, seven demonstrate medium resilience, 15 display relatively low resilience, and 12 are characterized by low resilience. Notably, the spatial distribution of resilience displays a clear proximity effect to mosques.

Authors

Institutions

Publication Details

Journal
Journal of Asian Architecture and Building Engineering
Published
2025-11-12
DOI
https://doi.org/10.1080/13467581.2025.2586881
Primary Topic
Regional resilience and development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of urban morphological resilience in Xi’an Hui historical districts in China

Qing Zhao, Yunying Ren
Journal of Asian Architecture and Building Engineering
Regional resilience and development
article

Evaluation of urban morphological resilience in Xi’an Hui historical districts in China

Qing Zhao, Yunying Ren
article en

Abstract

Urban Hui historical districts in northwestern China represent complex systems characterized by a profound integration of social, cultural, and spatial dimensions. However, research on spatial morphological resilience in such contexts remains underdeveloped, and a comprehensive analytical framework has yet to be established—particularly at the micro-scale, where operationalization is still lacking. Grounded in theoretical foundations, this study advances the concept of spatial morphological resilience by integrating knowledge from urban morphology, socio-ecological resilience science, and complex adaptive systems theory. It aligns the three spatial dimensions of morphological organization with the distinctive attributes of Hui communities in northwestern China, thereby constructing a multidimensional assessment framework encompassing “behavioral space adaptability,” “social space stability,” and “physical space diversity.”Taking the Hui community around the Drum Tower in Xi’an as a case study, the research reveals the following spatial resilience pattern: eight morphological regions exhibit high resilience, 26 show relatively high resilience, seven demonstrate medium resilience, 15 display relatively low resilience, and 12 are characterized by low resilience. Notably, the spatial distribution of resilience displays a clear proximity effect to mosques.

Journal of Asian Architecture and Building Engineering
Tianjin University (CN), Xi’an University (CN)
Openalex Percentile: Top 58%
Regional resilience and development
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.