Comparative analysis of spatial patterns and driving factors of historic districts in the Chinese four ancient capitals

The four ancient capitals of China—Beijing, Nanjing, Xi’an, and Luoyang—are rich in historical and cultural heritage. However, rapid urbanization poses significant challenges to conserving historic districts. This study analyzes their spatial patterns and driving factors across natural, economic, cultural, and ecological dimensions. Using single-factor analysis, hot and cold spot analysis, and optimal parameter probes, findings reveal that 63% of historic districts in Beijing, Nanjing, and Xi’an are concentrated in older urban cores, while peripheral areas exhibit fragmented, dispersed patterns. Luoyang with fewer historic districts, concentrated in specific areas. This study highlights driving factors influencing the spatial distribution of historic districts, historic sites, and cultural blocks. Economic factors predominantly shape spatial patterns, followed by ecological and natural influences, while cultural factors are particularly significant for cultural blocks. This study recommends strengthening regional protection, enhancing peripheral cultural conservation, integrating ecological restoration, and promoting multi-sector collaboration for sustainable historic district preservation.

Authors

Institutions

Publication Details

Journal
npj Heritage Science
Published
2025-06-07
DOI
https://doi.org/10.1038/s40494-025-01765-0
Citations
5
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
5.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of spatial patterns and driving factors of historic districts in the Chinese four ancient capitals

Tianci Gu, Jing Fan
5 citations
npj Heritage Science
Urban Design and Spatial Analysis
5.03
article

Comparative analysis of spatial patterns and driving factors of historic districts in the Chinese four ancient capitals

Tianci Gu, Jing Fan
article en
5 citations

Abstract

The four ancient capitals of China—Beijing, Nanjing, Xi’an, and Luoyang—are rich in historical and cultural heritage. However, rapid urbanization poses significant challenges to conserving historic districts. This study analyzes their spatial patterns and driving factors across natural, economic, cultural, and ecological dimensions. Using single-factor analysis, hot and cold spot analysis, and optimal parameter probes, findings reveal that 63% of historic districts in Beijing, Nanjing, and Xi’an are concentrated in older urban cores, while peripheral areas exhibit fragmented, dispersed patterns. Luoyang with fewer historic districts, concentrated in specific areas. This study highlights driving factors influencing the spatial distribution of historic districts, historic sites, and cultural blocks. Economic factors predominantly shape spatial patterns, followed by ecological and natural influences, while cultural factors are particularly significant for cultural blocks. This study recommends strengthening regional protection, enhancing peripheral cultural conservation, integrating ecological restoration, and promoting multi-sector collaboration for sustainable historic district preservation.

npj Heritage ScienceVol. 13(1)
Beijing Normal University (CN), Xi’an University (CN)
Sustainable cities and communities
Openalex Percentile: Top 5%
Urban Design and Spatial Analysis
5.03
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.

Comparative analysis of spatial patterns and driving factors of historic districts in the Chinese four ancient capitals — Tianci Gu, Jing Fan · npj Heritage Science (2025) | TGRS Research Map | TGRS