| Nowadays,innovation is the key role of urban development.Innovation space,as the spatial carrier of innovation activities,has become an important part of urban space.Identifying the spatial distribution and temporal evolution and basic employmentresidential characteristics of urban innovation space is important for the scientific planning and long-term development of innovation space.The road traffic system is the key support of urban innovation space and its spatial structure has an inseparable relationship with the development and layout of innovation space.Measuring the correlation between innovation space and urban road network structure is of guiding significance to realize the coupled and coordinated development of innovation space and urban road network system.This paper selects Hangzhou city as the research area,by using POI data as the basis and several spatial analysis methods,it measures the spatial distribution characteristics,evolutionary characteristics and basic employmentresidential characteristics of various innovation spaces in Hangzhou city.Based on the Multiple centrality analysis,this paper uses Urban network analysis tools to measure the centrality indexes of road networks in the study area,and identifies the correlation between various types of innovation spaces and the road network centrality by using Pearson correlation coefficient method and Geographically weighted regression model.Finally,based on the results of the analysis,the optimization and enhancement strategies for the coupled and coordinated development of innovation spaces and transportation networks are proposed.The research results show that:(1)Different types of innovation spaces in Hangzhou have different spatial distribution and evolutionary characteristics,it shows the overall distribution characteristics of "multinuclear resonance and corridor aggregation" and the tendency of diffusion and spread along the main traffic corridors is obvious.(2)The spatial distribution of innovation space in Hangzhou is positively correlated with road network centrality,and the correlation between different innovation spaces and road network centrality varies in different spatial regions.The correlation between innovation knowledge space and road network centrality is significant in the core area of the city;the correlation between innovation enterprise space and road network centrality is strong in several major innovation industry clusters in the city;the correlation between innovation park space and road network centrality varies with outward migration and diffusion.(3)From the perspective of coupled development of innovation space and road network,it has potential to optimize the layout of innovation space in several regions.For example,the methods include promoting the location of innovation knowledge space in the northwest of Zhejiang University Yuquan Campus to bring into play the overflow utility of knowledge;strengthening the layout of innovation enterprise space at the end of its diffusion corridor,such as Linping District and Dajiangdong Area,to strengthen the corridor gathering structure;exploring the layout potential of innovative park space in the main urban area,optimizing the stock space resources and embedding cultural and creative industries in the central part of the Shangcheng District in a dotted pattern.The transportation network should be optimized in several aspects to better support the gathering and development of innovation spaces,such as the optimization of the road network in Binjiang District and Xiaoshan District,the improvement of the coverage of the public transportation network in Yuhang District and Xiaoshan District,and the construction of small-scale open neighborhoods in peripheral areas. |
