Yongqing Fang Historic District Regeneration Analysis with Synergistic Conversion Rates

A 33.3 KB document proposes a Dual-Helix Synergy Model for historic district regeneration, analyzing the Yongqing Fang case in Guangzhou, China. The study uses analytic network process, social network, and spatiotemporal analyses to track regeneration from 2016 to 2024. It reports a 100% rise in economic revenue, a 92% increase in cultural capital, and a 78% growth in social trust over the study period.

Use Cases

• Modeling the coupling efficiency between spatial reproduction and value creation based on the synergistic conversion rate (SCR) metric.
• Analyzing the evolutionary pathway of urban regeneration nodes (Dormant Node to Symbiotic Engine) based on the described space typologies.
• Testing the proposed Dual-Helix Synergy Model as a diagnostic toolkit for historic district governance in other contexts.

Strengths

• Includes specific performance metrics: economic revenue rose 100%, cultural capital 92%, and social trust 78% from 2016 to 2024.
• Proposes a concrete analytical model (Dual-Helix Synergy Model) with defined space typologies and a quantitative measure (Synergistic Conversion Rate).
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Findings are derived from a single case study (Yongqing Fang), limiting generalizability as noted by the author.

Provenance

Source

Author Liaoji Zheng, published on figshare.

Collection Method

Analysis likely involves analytic network process (ANP), social network analysis, and spatiotemporal analysis of a specific historic district.

Time Range

Study period includes data from 2016 to 2024.

Freshness

Last updated 2026-06-02 14:43:57; freshness should be verified.

Geography

Focuses on the Yongqing Fang historic district in Guangzhou, China.