Research On Characteristic Measurement And Optimization Strategy Of The Crowd Innovating Space System In Old City

City is the place where creative economy taking place as well as the primary gathering place for talents.The functions of the city are the incubators of innovation.Generally speaking,the old city is the “concentration site of problems” and the “innovation trial field”.In the background of “Mass Entrepreneurship and Innovation”,the research on the crowd innovating space has begun to increase,focusing on qualitative research such as space operation mode and Architectural space form,lacking space system research at the regional level.However,With the development of domestic innovation economy,the construction of crowd innovating space system in the old city will help to improve the construction of urban innovation ecosystem.This thesis explores the characteristics of crowd innovating space system in Jiangan District of Wuhan City from the perspectives of external environment and network analysis.Through the perspective of external environment,it analyzes the environmental factors that have direct or indirect impact on crowd innovating activities including market environment,institutional environment,humanistic environment and living facilities;From the perspective of network analysis,it analyzes the relevant organizations directly engaged in crowd innovating activities including crowd innovating space itself,government agencies,science and technology enterprises,universities,scientific research institutions and intermediary organizations,etc.Firstly,by analyzing the general situation of the development of the crowd innovating space system and its spatial distribution pattern,the external environmental characteristics of the crowd innovating space system in the Jiangan District are summarized.In the institutional environment,the Jiangan District has a good policy system and incentive mechanism;However,in the market environment,due to the short development of period,the market has not yet been activated,and there is a lack of professional talents,scientific and technological finance and innovative technology support in specific market segments,resulting in immature market environment in crowd innovating of Jiangan District.In the humanistic environment,there is not only a good historical and cultural environment,but also a good environment for innovation and entrepreneurship.In terms of living facilities,through the analysis of spatial kernel density by web crawler on Baidu living facilities POI,it is found that some innovative resources and living service facilities are unevenly distributed and concentrated in Hankou core area.By constructing the network topology of the old city crowd innovating space system,the network characteristics of the current crowd innovating space system are summarized.In this thesis,the complex network measurement method is used for quantitative research,and the Gephi is used to measure and analyze the network characteristics of the old city crowd innovating space system from four aspects——the overall development stage of the network,the importance of network nodes,the relevance of network nodes and the functionality of network nodes.It is found that the development of the crowd innovating space system in the Jiangan District is still in the primary stage and cannot be separated from the government's strong support and promotion.Moreover,the role of innovation intermediary organizations in the crowd innovating space system is not obvious.At present,the internal growth of the network is less than the external impetus.Finally,by analyzing the existing crowd innovating space system structure in Jiangan District,and according to the correlation mechanism and characteristics of various elements,a "networking + circle" crowd innovating space system is constructed from two directions of system structure circle optimization and network optimization.On this basis,from the core circle layer,support circle layer,supporting circle layer and environmental circle layer,the corresponding planning optimization strategy is further put forward.