Yongqing Fang Historic District Regeneration Analysis with Dual-Helix Model, 2016-2024

A 19.3 KB document analyzes the micro-regeneration of Yongqing Fang in Guangzhou, China, proposing a Dual-Helix Synergy Model. The study uses analytic network process, social network, and spatiotemporal analyses to track changes from 2016 to 2024. Authored by Liaoji Zheng and shared on figshare under a CC-BY-4.0 license, it reports a 100% rise in economic revenue, a 92% increase in cultural capital, and a 78% growth in social trust over the period.

Use Cases

• Modeling spatial-value coupling efficiency in urban regeneration based on the synergistic conversion rate (SCR) metric.
• Analyzing the evolutionary pathway of historic districts based on the four space typologies: Symbiotic Engine, Community Lounge, Professional Workshop, and Dormant Node.
• Testing the Dual-Helix Synergy Model for diagnostic and intervention in other historic district governance contexts.

Strengths

• Specific quantitative results are reported, including economic revenue rising 100%, cultural capital 92%, and social trust 78% from 2016 to 2024.
• The study employs a multi-method approach, including analytic network process (ANP), social network analysis, and spatiotemporal analysis.
• The model proposes a concrete diagnostic toolkit for historic district governance, moving from binary opposition to systems thinking.

Limitations

• The findings are derived from a single case study (Yongqing Fang), limiting generalizability to other institutional contexts.
• The dataset is a 19.3 KB DOCX file, suggesting limited raw data and a focus on textual analysis and results.
• Column-level documentation and sample data are unavailable, requiring manual inspection of the document to understand the underlying data structure.

Provenance

Source

Liaoji Zheng via figshare.

Collection Method

Analytic network process (ANP) with supplementary social network and spatiotemporal analyses of a specific historic district.

Time Range

2016 to 2024.

Freshness

Last updated 2026-06-02 14:43:57.

Geography

Yongqing Fang, Guangzhou, China.