地理研究 ›› 2015, Vol. 34 ›› Issue (4): 711-728.doi: 10.11821/dlyj201504010
收稿日期:
2014-11-05
修回日期:
2015-01-26
出版日期:
2015-04-10
发布日期:
2015-04-10
作者简介:
作者简介:吴康(1985- ),男,江苏淮安人,博士,讲师,主要从事城市经济地理学研究。 E-mail:
基金资助:
Kang WU1,2(), Chuanglin FANG3, Miaoxi ZHAO4
Received:
2014-11-05
Revised:
2015-01-26
Online:
2015-04-10
Published:
2015-04-10
摘要:
全球化、信息化与快速城市化深刻影响了中国的城市体系,多区位企业组织所形成的城市网络正处于日益复杂的空间嬗变过程。基于2010年企业名录的总部—分支机构型关联数据,研究构建了330×330的地级以上城市网络连接关系,并运用复杂网络分析工具来探索中国城市网络的空间组织特征。研究发现:① 中国的城市网络联系呈现以“北京—上海—广深—成都”为核心的菱形空间结构,不同等级的网络流强度具有显著的空间异质性,城市网络的空间组织是一个择优性和地理邻近性复杂作用的过程;② 中国城市网络正处于一个简单随机向复杂有序结构的转化期,整体大尺度的网络结构还有待形成;③ 中国城市网络整体表现出明显的小世界网络效应;④ 中国城市的二值点度网络为明显的异配性连接特征,而加权强度网络连接则一定程度上表现出“富人圈”的现象;⑤ 中国城市网络的层级性并不明显,城市网络的点度和强度的关系呈非线性增加特征。
吴康, 方创琳, 赵渺希. 中国城市网络的空间组织及其复杂性结构特征[J]. 地理研究, 2015, 34(4): 711-728.
Kang WU, Chuanglin FANG, Miaoxi ZHAO. The spatial organization and structure complexity of Chinese intercity networks[J]. GEOGRAPHICAL RESEARCH, 2015, 34(4): 711-728.
表1
城市组织网络中的节点连接排序(前10)"
Top1组织网络 | Top2组织网络 | Top3组织网络 | Top5组织网络 |
---|---|---|---|
北京(37) 上海(26) 成都(21) 郑州(15) 广州(15) 昆明(15) 哈尔滨(13) 武汉(13) 长沙(12) 乌鲁木齐(12) | 北京(108) 上海(81) 深圳(30) 成都(25) 广州(24) 重庆(18) 郑州/合肥 (16) 沈阳/武汉/昆明 (15) | 北京(156) 上海(128) 深圳(54) 广州(33) 成都(27) 重庆(26) 沈阳(21) 南京/大连 (19) 武汉(18) | 北京(236) 上海(208) 深圳(108) 广州(65) 重庆(38) 成都(36) 天津(33) 大连(32) 沈阳(24) 南京(24) |
表2
城市空间组织网络的主要统计量变化"
Top1组织网络 | Top2组织网络 | Top3组织网络 | Top5组织网络 | |
---|---|---|---|---|
连接节点数 | 51 | 107 | 156 | 244 |
平均连接度 | 6.47 | 6.16 | 6.32 | 6.71 |
前10名节点连接比重(%) | 54.24 | 52.8 | 50.81 | 49.11 |
京津冀连接比重(%) | 12.42 | 18.36 | 18.86 | 17.78 |
长三角连接比重(%) | 10.91 | 17.15 | 19.07 | 19.43 |
珠三角连接比重(%) | 6.97 | 8.50 | 10.34 | 12.52 |
三大城市群连接合计(%) | 30.30 | 44.01 | 48.28 | 49.73 |
北京连接度比重(%) | 11.21 | 16.39 | 15.82 | 14.42 |
上海连接度比重(%) | 7.88 | 12.29 | 12.98 | 12.71 |
深广连接度比重(%) | 6.67 | 8.19 | 8.82 | 10.57 |
京沪深广连接合计(%) | 25.76 | 36.87 | 37.63 | 37.69 |
成渝连接比重(%) | 6.67 | 6.53 | 5.38 | 4.52 |
表3
网络累计度分布的拟合函数"
网络类型 | 拟合函数 | ||
---|---|---|---|
度分布(Degree) | (点权)强度分布(Strength) | ||
无向网络 | P(k)=0.9195e-0.019k, R2=0.984 | P(s)=1.6951E4s-1.446, R2=0.9235 | |
有向 网络 | Top1 | P(k)=24.672e-0.075k, R2=0.9186 | P(s)=2.29E4s-1.293, R2=0.9224 |
Top2 | P(k)=224.82k-1.221, R2=0.913 | P(s)=3.96E4s-1.322, R2=0.9326 | |
Top3 | P(k)=279.69k-1.16, R2=0.959 | P(s)=5.14E4s-1.337, R2=0.9366 | |
Top4 | P(k)=410.28k-1.126, R2=0.967 | P(s)=6.44E4s-1.342, R2=0.9372 |
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