产业集群微观网络结构的复杂性与不稳定性是其脆弱性形成的根本原因。然而，现有相关研究大多忽视产业集群中企业主体的内部结构及其空间演化行为，因而无法准确阐明产业集群脆弱性的形成机理并加以评估和模型验证。本项目遵循复杂适应系统及空间关联的分析思维，以产业集群脆弱性界定及集群空间分布型态辨识为研究基点，结合珠三角九地市制造业产业集群的样本选取及案例调研，采用ArcGIS叠图分析、多主体模拟分析、粒子群优化、自组织映射、空间加权矩阵和系统动力学等技术手段和方法，基于空间关联的视角提出研究产业集群脆弱性形成机理、综合测度及优化调控的的逻辑框架。通过剖析产业集群微观网络结构与其脆弱性形成的关联机理，建立产业集群脆弱性综合测度的指标体系与评估模型，从而为准确辨识和获取产业集群自组织演化与脆弱性之间的相互作用和反馈机制，以及开展产业集群脆弱性优化调控模型的构建及政策设计，提供理论依据和决策参考。

The complexity and instability of microscopic network structure is the root cause of industrial cluster vulnerability. However, the existing studies mostly ignore the enterprises internal structure and spatial evolutionary behavior in industrial cluster, therefore cannot accurately illustrate, evaluate and verify the formation mechanism of industrial cluster vulnerability. With the definition of industrial cluster vulnerability and recognition of cluster spatial distribution patterns as research basic points, this project follows the analytical thinking of complex adaptive system and spatial correlation, selects the nine cities in the Pearl River Delta as samples and carries out case study, adopts technical means and methods such as ArcGIS Overlay Analysis, Multi-agent Simulation Analysis, Particle Swarm Optimization, self-organizing map, spatial weighted matrix and system dynamics and proposes the logical framework to study the formation mechanism, integrated measurement and optimal regulation of industrial cluster vulnerability on the basis of spatial correlation. By analyzing microscopic network structure of industrial cluster and vulnerability formation mechanism, this project establishes comprehensive measurement index systems and evaluation models of industrial cluster vulnerability so as to provide some theoretical basis and decision references to accurately identify and obtain the mutual effect and feedback mechanism between industrial cluster self-organization evolution and vulnerability, and carry out the construction and policies design of optimal model of industrial cluster vulnerability.