摘要
综合多要素探讨城市空间关联结构对于推进区域高质量一体化发展意义重大.利用修正引力模型和社会网络分析法对G60科创走廊沿线城市高质量发展的空间关联结构及其影响因素进行了分析.结果表明:1)区域整体高质量发展水平不断提升且非均衡性不断减弱,沿线城市高质量发展多维度得分差异明显,在空间分布上,高质量发展水平上海最高且向苏浙皖方向逐渐递减,苏州、杭州是区域高质量发展的次核心城市.2)高质量发展空间关联强度呈现稳定的“东高西低”特征,高值关联有向西北纵深发展的趋势;网络关联数、网络密度波动上升;网络关联度、网络等级度、网络效率先呈现“N”型发展趋势,而后表现出阶梯式的上升过程.3)点出度、中介中心度高值区由多点集聚演变至单极格局;点入度始终呈现以杭州、嘉兴、湖州为高值中心的“核心—边缘”结构,接近中心度空间分异最稳定且城市差异最小,高值区不断向西拓展.4)城市邻接、信息关联、创新合作是影响城市高质量空间关联的重要因素,产业结构相似性、交通基础设施差异的影响不显著.研究结论可为推进G60科创走廊一体化高质量发展提供参考.
Analysis of urban spatial correlation structure with multiple perspectives was significant for promoting high-quality integrated regional development.A modified gravity model and social network analysis were utilized to examine the spatial correlation structure and influencing factors of high-quality development in cities along the G60 S&T Innovation Corridor.The results showed that:1) Overall level of high-quality development in the region was improved and the inequality decreased.The high-quality development of cities showed significant differences in multi-dimensional scores.Spatially,Shanghai had the highest level of high-quality development,gradually decreasing towards the direction of Jiangsu,Zhejiang and Anhui.Suzhou and Hangzhou were sub-core cities for regional high-quality development.2) The spatial correlation intensity of high-quality development exhibited a stable pattern of being higher in the east and lower in the west,with a tendency of high-value correlation towards the northwest for deeper development.The network relationship and network density showed an upward fluctuation,while the network connectivity,network hierarchy,and network efficiency first exhibit an ″ N ″-shaped developmental trend,and then demonstrated a stepwise increase.3) The high-value areas of out-degree centrality and betweenness centrality evolved from a multi-node clustering to a unipolar pattern.The spatial variation of in-degree centrality consistently demonstrated a "core-periphery " structure with Hangzhou,Jiaxing,and Huzhou at its core.The spatial pattern of closeness centrality was the most stable and exhibited the least variation among cities,with its high-value regions continuously expanded westward.4) Urban adjacency,information relevance,and innovative collaboration were key factors influencing the high-quality spatial correlation among cities,whereas the impact of industrial structure similarity and differences in transportation infrastructure was relatively insignificant.The research findings could provide re
作者
柳诗易
张俊
马远军
王泽东
LIU Shiyi;ZHANG Jun;MA Yuanjun;WANG Zedong(College of Geography and Environmental Sciences,Zhejiang Normal University,Jinhua 321004,China)
出处
《浙江师范大学学报（自然科学版）》
CAS
2025年第1期68-77,共10页
Journal of Zhejiang Normal University:Natural Sciences
基金
国家自然科学基金资助项目(42301241)。
关键词
高质量发展
G60科创走廊
社会网络分析
空间关联结构
影响因素
high-quality development
G60 S&T Innovation Corridor
social network analysis
spatial correlation structure
influencing factors
