Research on urban network structure in Chengdu-Chongqing Economic Circle based from the perspective of

doi:10.3969/j.issn.1004-9479.2024.09.20222424

Abstract

Abstract:

It is of great significance to lead Chengdu-Chongqing economic circle to stride forward to world-class urban agglomeration, promote regional economic integrated development, and boost domestic circulation with regional circulation for accelerating the formation of a new development pattern with domestic circulation as the main body and the domestic and international dual circulation promoting each other. Based on the perspective of urban network structure, the urban network structure characteristics and differences of Chengdu-Chongqing Economic Circle are described by using the social network analysis method and the visualization function of ArcGIS spatial analysis tool on the basis of constructing the urban spatial connection network of transportation, economy, population and information by using the data of railway and highway passenger transport frequency, regional outward function influence quantity, population migration quantity and Baidu index. Finally, the optimization strategies and suggestions of the network structure of Chengdu-Chongqing economic circle are put forward from different perspectives. The results show that: (1) The urban network shows a dual-core circle radial spatial structure dominated by "Chengdu and Chongqing", and the overall network connection presents an "unbalanced" pattern. (2) The embryonic form of urban system is emerging, the network structure is not stable, and the resilience needs to be further improved. The overall index calculation shows that the tightness of the urban network is population> information> economy> transportation. (3) The "core-periphery" effect is significant, the "collapse" phenomenon is obvious, and there is no strong secondary central city. (4) The distribution of cohesive subgroups is highly different, and the spatial distribution of the cities in the agglomerated subgroups is basically in line with the geographical proximity.

Key words: network structure, flow space, centrality, agglomerative subgroup, Chengdu-Chongqing region

摘要：

引领成渝地区双城经济圈向世界级城市群迈进，促进区域经济一体化发展，以区域内循环助推国内大循环，对加快形成以国内大循环为主体、国内国际双循环相互促进的新发展格局具有重要意义。基于城市网络结构视角，采用铁路公路客运班次、区域外向功能影响量、人口迁徙量和百度指数数据，在构建交通、经济、人口和信息城市空间联系网络的基础上，运用社会网络分析方法，借助ArcGIS空间分析工具的可视化功能，对成渝地区双城经济圈城市网络结构特征及其差异进行刻画，进而针对各网络从不同视角提出网络结构优化策略和建议。结果表明：（1）城市网络表现出以“成都和重庆”为主的双核心圈层放射状空间结构，总体网络联系空间呈“非均衡”格局。（2）城市体系雏形初显，网络结构不具备稳定性，韧性能力有待进一步提升。整体指标测算显示各城市网络紧密性总体表现为人口>信息>经济>交通。（3）“核心-边缘”效应均显著，“塌陷”现象明显，缺乏强有力的次级中心城市。（4）凝聚子群分布形态差异性强，子群内城市的地域空间分布基本符合地理邻近性。

关键词: 网络结构, 流空间, 中心度, 凝聚子群, 成渝地区

Fangcheng SUN, Na ZHANG, Yuling HU, Jing TANG. Research on urban network structure in Chengdu-Chongqing Economic Circle based from the perspective of "flow space"[J]. World Regional Studies, 2024, 33(9): 147-162.

孙芳城, 张娜, 胡钰苓, 唐菁. “流空间”视角下成渝地区双城经济圈城市网络结构研究[J]. 世界地理研究, 2024, 33(9): 147-162.

Figures/Tables 8

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类型	交通流	经济流	人口流	信息流
交通流	—	0.817^***	0.395^***	0.519^***
经济流	0.817^***	—	0.451^***	0.502^***
人口流	0.395^***	0.451^***	—	0.519^***
信息流	0.519^***	0.502^***	0.519^***	—

类型	交通流	经济流	人口流	信息流
交通流	—	0.817^***	0.395^***	0.519^***
经济流	0.817^***	—	0.451^***	0.502^***
人口流	0.395^***	0.451^***	—	0.519^***
信息流	0.519^***	0.502^***	0.519^***	—

类型	网络密度	平均度数	平均路径长度	平均群集系数	网络效率
交通流	0.342	5.125	1.658	0.846	0.752
经济流	0.358	5.375	1.642	0.825	0.733
人口流	0.733	11.000	1.267	0.859	0.305
信息流	0.658	9.875	1.342	0.837	0.391
随机网络	—	—	1.504	0.507	—

类型	网络密度	平均度数	平均路径长度	平均群集系数	网络效率
交通流	0.342	5.125	1.658	0.846	0.752
经济流	0.358	5.375	1.642	0.825	0.733
人口流	0.733	11.000	1.267	0.859	0.305
信息流	0.658	9.875	1.342	0.837	0.391
随机网络	—	—	1.504	0.507	—

城市	度数中心度				接近中心度				中介中心度
城市	交通流	经济流	人口流	信息流	交通流	经济流	人口流	信息流	交通流	经济流	人口流	信息流
成都	1.000	1.000	1.000	1.000	100.000	100.000	100.000	100.000	37.583	43.667	6.416	8.070
重庆	1.000	0.933	0.933	1.000	100.000	93.750	93.750	100.000	37.583	29.667	3.749	8.070
自贡	0.267	0.400	0.667	0.600	57.692	62.500	75.000	71.429	0.000	0.500	0.250	0.435
泸州	0.267	0.333	0.533	0.667	57.692	60.000	68.182	75.000	0.000	0.000	0.000	1.095
德阳	0.200	0.267	0.800	0.600	55.556	57.692	83.333	71.429	0.000	0.333	2.710	0.619
绵阳	0.267	0.333	1.000	1.000	57.692	60.000	100.000	100.000	0.333	0.667	6.416	8.070
遂宁	0.200	0.267	0.667	0.467	55.556	57.692	75.000	65.217	0.000	0.000	0.952	0.000
内江	0.333	0.333	0.867	0.533	60.000	60.000	88.235	68.182	0.667	0.000	2.373	0.600
乐山	0.333	0.333	0.800	0.667	60.000	60.000	83.333	75.000	0.250	0.667	2.087	1.625
南充	0.267	0.333	0.933	0.867	57.692	60.000	93.75	88.235	0.333	0.667	3.749	3.720
眉山	0.267	0.267	0.800	0.400	57.692	57.692	83.333	62.500	0.000	0.333	2.004	0.000
宜宾	0.467	0.400	0.733	1.000	65.217	62.500	78.947	100.000	2.250	0.500	0.504	8.070
广安	0.133	0.200	0.467	0.467	53.571	55.556	65.217	65.217	0.000	0.000	0.143	0.000
达州	0.200	0.133	0.467	0.600	55.556	53.571	65.217	71.429	0.000	0.000	0.143	0.625
雅安	0.133	0.067	0.333	0.333	53.571	51.724	60.000	60.000	0.000	0.000	0.000	0.000
资阳	0.133	0.133	0.733	0.333	53.571	53.571	78.947	60.000	0.000	0.000	0.504	0.000