基于绿色智慧城市综合评价指标体系,通过修正的引力模型、社会网络分析等方法探讨了黄河流域绿色智慧城市的空间关联网络及其形成机制。研究发现:黄河流域城市绿色智慧发展水平呈逐年上升趋势,在空间上呈“下游—中游—上游”依次递减的分布特征,且下游增速最快,极化特征明显;黄河流域绿色智慧城市空间关联网络联通性较好且不存在等级结构,空间关联的紧密度和稳定性不断增强,但城市间的协同性仍需进一步提升;郑州、西安和济南等省会城市处于空间关联网络的中心位置,烟台、威海等东部沿海城市和上游多数城市处于网络的边缘位置;空间关联网络分为四大板块,兰西和关中平原城市群为“净溢出”板块,山东半岛城市群为“净受益”板块,宁夏沿黄和呼包鄂榆城市群为“经纪人”板块,晋中和中原城市群为“双向溢出”板块;经济发展、技术创新和人力资本水平的地区差异会增强绿色智慧城市间的联系,信息网络差异则会抑制绿色智慧城市空间关联程度的提升。
Based on the comprehensive evaluation index system of green smart cities, the spatial correlation network of green smart cities in the Yellow River Basin and its formation mechanism were analyzed using the modified gravity model and social network analysis. The study found that: the level of green smart development of cities in the Yellow River Basin shows a rising trend year by year. The spatial distribution of “downstream - midstream - upstream” is decreasing, and the downstream has the fastest growth rate, with obvious polarization characteristics; the spatial network of green smart cities in the Yellow River Basin is well connected and does not have a hierarchical structure, and the tightness and stability of spatial connection is increasing, but the synergy between cities still needs to be further improved; provincial capital cities such as Zhengzhou, Xi’an and Jinan are at the center of the spatial association network, while eastern coastal cities such as Yantai and Weihai and most upstream cities are at the periphery of the network; the spatial correlation network is divided into four major segments, the Lanxi and Guanzhong Plain urban agglomeration is the “net spillover” segment, the Shandong Peninsula urban agglomeration is the “net beneficiary” segment, the Jinzhong and Central Plains urban agglomeration is the “broker” segment, Ningxia and Hubao-Eyu are “two-way spillover” segment, the regional differences in economic development, technological innovation, and human capital levels enhance the linkages among green smart cities, while the differences in information networks inhibit the increase in the degree of spatial linkages among green smart cities.
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