Urban Innovation System Modeling: Case study of Hamedan

Cities are safe havens for innovation and invention; Valuable interactions are possible due to the presence of a thinking mass and the existence of diversity. For this reason, understanding the factors affecting innovation in urban geographical areas, especially urban innovation systems, is very important. A review of the urban economics literature shows that there is a modeling gap in an urban innovation system that encompasses all aspects of a dynamic urban system. Therefore, this study seeks to find a suitable solution to this issue. In this regard, first, the components of the urban innovation system in the urban economy literature have been studied using the meta-combined method. Then, by interviewing experts, the importance of each of the identified components has been examined and determined. The identified components for Hamedan city in 1399 have been calculated and the urban innovation system model is based on it. That all layers have an essential connection with each other. To model the urban innovation system, which is based on endogenous economic growth models, the Meta- synthesis method according to the exploratory nature of the research and then the ARAS method using SPSS, ATLASti and Excel software have been used. The results show that the urban innovation system in Hamedan is identifiable and in general, from five main sub-layers including idea generation layer, innovation production layer, product production layer, consumption layer, feedback layer, control and improvement and an infrastructure layer (Background layer).