Investigating the Drivers of Knowledge-Based Growth Management Using Fuzzy MICMAC: A Case Study in Iran

Attention to a city’s physical development is necessary for urban plans. In Iran, the rapid expansion of cities in form unplanned and unbalanced growth due various reasons, including indiscriminate migration, considered fundamental problem. This phenomenon known as sprawl, which one results this type growth. The research aims identify prioritize indicators realization knowledge-based management (KBGM) city Tabriz, using foresight methods analyze effective drivers. fuzzy linguistic MICMAC method was used mutual effects by converting variables into numbers. addition, theory sets experts participating research, relationships between 32 were investigated. showed that Tabriz had scattered, isolated, fast, growth, it has relative compatibility. Despite possibility within limits most construction activities outside boundaries Key factors affecting identified. Based on our findings, university’s reputation, government effectiveness, competitiveness, branding, quality life, strategic planning will impact process Tabriz.