The rapid development of the economy and urbanization has led to numerous urban regeneration projects, and collaborative governance is increasingly advocated to address the management issues that occur during urban regeneration. However, strong collaboration is still a great challenge among multiple stakeholders during the process of urban regeneration. Based on Bayesian network theory and the case of Chongqing, this article aims to deconstruct the complex structure and explore the inherent mechanism of urban regeneration governance to achieve collaboration. First, a Bayesian network model of urban regeneration governance was developed to visualize the complex structure of multiple stakeholders’ interests. Second, the inherent mechanism was analyzed though Bayesian inference. The results indicate that the cooperation degree of related governments, conflict resolution efficiency, degree of public participation, and normality of public participation may be key factors that lead to collaborative behavior. Third, a further discussion was conducted, based on which policy implications were drawn to promote collaborative governance in urban regeneration.

中文翻译：

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基于贝叶斯网络的城市更新协同治理研究——以重庆市为例


经济和城市化的快速发展催生了众多的城市更新项目，越来越多地提倡协同治理来解决城市更新过程中出现的管理问题。然而，在城市更新过程中，多方利益相关者之间的强有力的合作仍然是一个巨大的挑战。本文旨在基于贝叶斯网络理论和重庆案例，解构城市更新治理的复杂结构，探索城市更新治理实现协同的内在机制。首先，开发了城市更新治理的贝叶斯网络模型，以可视化多个利益相关者利益的复杂结构。其次，通过贝叶斯推理分析其内在机制。研究结果表明，相关政府的合作程度、冲突解决效率、公众参与程度以及公众参与的常态性可能是导致协同行为的关键因素。三是进一步深入探讨，得出促进城市更新协同治理的政策启示。