[1]曹月娥,屠金钰,邵 琳,等.基于时空演化视角下不同城市群经济网络结构韧性研究[J].中国名城,2023,37(12):10-18.[doi:10.19924/j.cnki.1674-4144.2023.012.002]
　CAO Yuee,TU Jinyu,SHAO Lin,et al.Research on the Resilience of Economic Network Structure of Different Urban Agglomerations from the Perspective of Spatial-Temporal Evolution[J].China Ancient City,2023,37(12):10-18.[doi:10.19924/j.cnki.1674-4144.2023.012.002]
点击复制

基于时空演化视角下不同城市群经济网络结构韧性研究()
分享到：

中国名城[ISSN:1674-4144/CN:32-1793/GO]

卷:
37
期数:
2023年12期
页码:
10-18
栏目:
出版日期:
2023-12-05

文章信息/Info

Title:
Research on the Resilience of Economic Network Structure of Different Urban Agglomerations from the Perspective of Spatial-Temporal Evolution
文章编号:
1674-4144（2023）012-0010-09
作者:
曹月娥; 屠金钰; 邵 琳; 段佳泉
曹月娥，上海师范大学环境与地理科学学院教授；屠金钰，上海师范大学环境与地理科学学院硕士研究生；邵 琳，上海师范大学环境与地理科学学院副教授；段佳泉，上海师范大学环境与地理科学学院硕士研究生。
Author(s):
CAO Yuee; TU Jinyu; SHAO Lin; DUAN Jiaquan
关键词:
时空演化; 经济网络; 城市群; 网络结构韧性
Keywords:
spatial-temporal evolution; economic network; urban agglomeration; network structure resilience
分类号:
TU984
DOI:
10.19924/j.cnki.1674-4144.2023.012.002
文献标志码:
A
摘要:
不同城市群网络结构韧性在面临新型冠状病毒感染时恢复、改善、创新的能力可能不同，但当前缺少证据。通过引力模型构建长三角城市群与成渝城市群2019—2021年的经济联系网络，通过ucinet软件对韧性进行计算，从网络层级性、网络集聚程度和网络整体运行效率三个方面对比分析两大城市群经济网络结构的韧性。结果表明：（1）长三角城市群经济网络空间格局为大核心+小核心分布，形成多个小集团。成渝城市群以成都、重庆单个大核心为主。（2）相对长三角城市群，成渝城市群网络结构具有较高层级性。核心节点具有较高地位。（3）长三角城市群经济网络节点之间集聚性低于成渝城市群，在遭到疫情冲击时，节点间具有分散作用。（4）成渝城市群经济网络整体运行效率低于长三角。网络间的传输性低，节点之间缺乏互动。研究结果说明，长三角城市群经济网络结构韧性优于成渝城市群，并在疫情冲击后其网络结构具有更强的恢复、改善、创新能力。
Abstract:
The resilience of the network structure of different urban agglomerations may be different in the ability to recover, improve and innovate in the face of the impact of the new coronavirus epidemic, but there is currently no evidence. This paper constructs the economic connection network between the Yangtze River Delta urban agglomeration and the Chengdu-Chongqing urban agglomeration from 2019 to 2021 through the gravity model. Then, the resilience is calculated by UCINET software, and the resilience of the economic network structure of the two major urban agglomerations is compared and analyzed from three aspects: network hierarchy, network aggregation degree and overall network operation efficiency. The results are as follows: (1) The economic network spatial pattern of the Yangtze River Delta urban agglomeration is a large core + small core distribution, forming multiple small groups. Chengdu-Chongqing urban agglomeration is dominated by a single core of Chen Yu. (2) Compared with the Yangtze River Delta urban agglomeration, the network structure of Chengdu-Chongqing urban agglomeration has a higher level. The core node has a high status. (3) The aggregation between the economic network nodes of the Yangtze River Delta urban agglomeration is lower than that of the Chen Yu urban agglomeration. When it is impacted by the epidemic, the nodes have a decentralized effect. (4) The overall operational efficiency of the economic network of Chen Yu urban agglomeration is lower than that of the Yangtze River Delta. The transmission between networks is low, and there is a lack of interaction between nodes. The results of this paper show that the economic network structure resilience of the Yangtze River Delta urban agglomeration is better than that of the Chengdu-Chongqing urban agglomeration, and its network structure has stronger recovery, improvement and innovation ability after the impact of the epidemic.
更新日期/Last Update: 2024-01-02