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This study aims to explore the strategic interactions among key stakeholders in urban regeneration, specifically within industrial park renewal.

May 16, 2026SustainabilityOpen Access

Promoting Urban Regeneration Through Multi-Agent Strategic Interaction Behavior: A Dynamic Decision Model for Industrial Park Renewal

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This study aims to explore the strategic interactions among key stakeholders in urban regeneration, specifically within industrial park renewal.
Developed a dynamic evolutionary game model based on a case from China.
Analyzed interactions among government, social capital, and property owners.
Conducted robustness checks considering time delays and phased investments.
Social capital participation shows an inverted U-shape with investment ratios.
Lower land repayment costs and higher rental income promote cooperation among property owners.
Non-cooperative property owner behavior leads to a stable strategy where the government repurchases land rights.

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Implication

Randomized trial examines strategic interactions of government, social capital, and property owners in urban regeneration, indicating complex behavior dynamics.

Cite This Study

Lu et al. (2026) studied this question.

synapsesocial.com/papers/6a0809bea487c87a6a40b9e0 https://doi.org/10.3390/su18104831

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Implication

Randomized trial examines strategic interactions of government, social capital, and property owners in urban regeneration, indicating complex behavior dynamics.

Promoting Urban Regeneration Through Multi-Agent Strategic Interaction Behavior: A Dynamic Decision Model for Industrial Park Renewal

Key Points

Discussion

Implication

Cite This Study

Promoting Urban Regeneration Through Multi-Agent Strategic Interaction Behavior: A Dynamic Decision Model for Industrial Park Renewal

Key Points

Discussion

Implication

Cite This Study

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