Yongqing Fang Regeneration: Dual-Helix Synergy Model and Metrics, 2016-2024

A 35.3 KB document presents a case study on the micro-regeneration of Yongqing Fang, a historic district in Guangzhou, China, from 2016 to 2024. Author Liaoji Zheng proposes a Dual-Helix Synergy Model, integrating spatial reproduction and value creation, and reports a 100% rise in economic revenue, a 92% increase in cultural capital, and a 78% growth in social trust over the study period. The findings, last updated in June 2026, are derived from analytic network process (ANP), social network, and spatiotemporal analyses of a single case.

Use Cases

• Testing the proposed Dual-Helix Synergy Model for historic district regeneration in other contexts.
• Analyzing the coupling efficiency between spatial reproduction and value creation using the synergistic conversion rate (SCR) metric.
• Studying the evolutionary pathway of spatial nodes (Dormant Node, Professional Workshop, Community Lounge, Symbiotic Engine) in urban regeneration.
• Investigating the non-monotonic pattern of regeneration efficiency as indicated by the four SCR phases (0.90, 1.10, 0.43).

Strengths

• Provides specific quantitative outcomes for a regeneration project, including a 100% rise in economic revenue and a 78% growth in social trust from 2016 to 2024.
• Introduces a concrete analytical model (Dual-Helix Synergy) and a novel metric (synergistic conversion rate) for measuring regeneration efficiency.
• The document is openly licensed under CC-BY-4.0, permitting sharing and adaptation.

Limitations

• The dataset is a 35.3 KB document; the underlying analysis data (e.g., raw survey results, spatial coordinates) is not included, limiting reproducibility.
• Findings are derived from a single case study (Yongqing Fang); generalizability to other institutional contexts is untested.
• Column-level documentation for any underlying data is absent; field semantics must be inferred from the document text.

Provenance

Source

Liaoji Zheng, published on figshare.

Collection Method

Analytic network process (ANP) supplemented with social network and spatiotemporal analyses.

Time Range

2016 to 2024

Freshness

Last updated 2026-06-02 14:43:56.

Geography

Yongqing Fang, Guangzhou, China