Spatial Distribution Features and Influencing Factors of Knowledge Innovation Clusters:A Case Study of Wuhan Metropolitan Area
In the context of innovation-driven development,fostering the concentration of knowledge innovation activities represents a pivotal strategy for enhancing cities'capacity for original innovation.It is imperative to conduct thorough research on this subject.To this end,taking Wuhan Metropolitan Area as an example,this paper employs data from scientific and technological papers to identify the knowledge innovation clusters based on the HDBSCAN spatial clustering algorithm,and further analyses their types,distribution characteristics and influencing factors.The research results show that Wuhan Metropolitan Area hosts several knowledge innovation clusters,which can be catego-rized into three types:production-oriented,knowledge-oriented,and incubation-oriented.Each cluster exhibits a significant degree of agglomeration,forming a spindle hierarchical structure and a combined pattern of"one core and two wings".The formation of each cluster is influenced by the construction environment,industrial environment,in-novation environment,social environment and policy environment.Moreover,various types of zones exhibit significant differences in the factors that influence their formation.Production-oriented clusters are primarily affected by internal transportation,recreational and leisure services,and medical services.Knowledge-based clusters are predominantly influenced by supportive policies,scientific and technological innovation services,and university resources.Incuba-tion-oriented clusters are mainly affected by land costs,incubation services,and industrial access policies.In the new stage of development,knowledge innovation clusters serve as a critical carrier for the knowledge innovation enti-ties within urban agglomerations.Optimization can be achieved by integrating industry and city development in pro-duction-oriented clusters,upgrading the industrial foundation of knowledge-oriented clusters,and enhancing public services in incubation-oriented clusters.
knowledge innovation clustersspatial clusteringlogistic regressionagglomeration effectWuhan Metropolitan Area
NETL
NSTL
万方数据
