中国城市网络结构特征及组织模式——基于长短期人口流的比较

高苹; 戚伟; 刘盛和; 刘振; 潘泽瀚

doi:10.13959/j.issn.1003-2398.2023.06.010

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人文地理 ›› 2023, Vol. 38 ›› Issue (6) : 82-91. DOI: 10.13959/j.issn.1003-2398.2023.06.010

城市

中国城市网络结构特征及组织模式——基于长短期人口流的比较

高苹^1,2,3, 戚伟^1,2, 刘盛和^1,2, 刘振^1,2, 潘泽瀚⁴

作者信息 +

COMPARISON OF SPATIAL STRUCTURE AND ORGANIZATION MODE OF CITY NETWORKS FROM THE PERSPECTIVE OF LONG-TERM AND SHORT-TERM POPULATION FLOWS

GAO Ping^1,2,3, QI Wei^1,2, LIU Sheng-he^1,2, LIU Zhen^1,2, PAN Ze-han⁴

Author information +

文章历史 +

摘要

从节点、流量、首位联系、社区结构四个层面对中国长短期人口流动视角下的城市网络结构特征及组织模式进行比较研究。结果发现：①长短期流动人口均倾向于向少数城市集聚，当考虑网络方向时，城市节点被赋予了不同的功能与角色；②长短期人口流均主要分布在胡焕庸线的东南半壁，但长期人口流主要由欠发达城市迁往发达城市，短期人口流主要发生在发达城市间；③两个网络的首位联系均表现出邻近连接与择优连接的双重特征，但长期人口流动网络以邻近连接为主，短期人口流动网络以择优连接为主；④两个网络均具有明显的社区结构，但长期人口流动网络以组团式的跨省邻近组合型为主，短期人口流动网络以飞地式的跨省跳跃组合型为主。

Abstract

Based on the 1‰ microdata from 2015 1% population sample survey and the Tencent location migration big data in 2018, this study uses complex network analysis method to compare the spatial structure and organization mode of city networks from the perspective of long- and short-term population flows in China, in terms of nodes, flows, first connections and community structure. The results are as follows: 1) Both long- and short-term floating population tend to cluster in a few large cities, when considering network direction, city nodes are given different functions and roles. 2) Both long- and short-term population flows are mainly distributed in the southeastern half of the Hu Line. 3) Both networks exhibit the dual characteristics of adjacent connection and preferential connection, but large-scale and high-intensity first connections in long-term human mobility network are dominated by adjacent connection. 4) Both networks have obvious community structure, but the long-term human mobility network is dominated by cross-provincial adjacent combination type, reflecting a“clustered”community structure.

导出引用

高苹, 戚伟, 刘盛和, 刘振, 潘泽瀚. 中国城市网络结构特征及组织模式——基于长短期人口流的比较[J]. 人文地理. 2023, 38(6): 82-91 https://doi.org/10.13959/j.issn.1003-2398.2023.06.010

GAO Ping, QI Wei, LIU Sheng-he, LIU Zhen, PAN Ze-han. COMPARISON OF SPATIAL STRUCTURE AND ORGANIZATION MODE OF CITY NETWORKS FROM THE PERSPECTIVE OF LONG-TERM AND SHORT-TERM POPULATION FLOWS[J]. HUMAN GEOGRAPHY. 2023, 38(6): 82-91 https://doi.org/10.13959/j.issn.1003-2398.2023.06.010

中图分类号： K901.8

参考文献

[1] Castells M. The information city:Information technology, economic restructuring and the urban regional progress[J]. European Journal of Information Systems, 1991,1(1):76-77.
[2] Castells M. The Rise of the Network Society[M]. Cambridge:Blackwell Publisher, 1996:376-423.
[3] 王姣娥,景悦.中国城市网络等级结构特征及组织模式——基于铁路和航空流的比较[J].地理学报,2017,72(8):1508-1519.[Wang Jiaoe, Jing Yue. Comparison of spatial structure and organization mode of inter-city networks from the perspective of railway and air passenger flow[J]. Acta Geographica Sinica, 2017,72(8):1508-1519.]
[4] Sassen S. The Global City:New York, London, Tokyo[M]. Princeton:Princeton University Press, 1991:321-323.
[5] Taylor P J, Hoyler M, Verbruggen R. External urban relational process:Introducing central flow theory to complement central place theory[J]. Urban Studies, 2010,47(13):2803-2818.
[6] Neal Z. Differentiating centrality and power in the world city network[J]. Urban Studies, 2011,48(13):2733-2748.
[7] Pflieger G, Rozenblat C. Urban networks and network theory:The city as the connector of multiple networks[J]. Urban Studies, 2010, 47(13):2723-2735.
[8] Batty M. The New Science of Cities[M]. Massachusetts:The MIT Press, 2013:206-236.
[9] 魏冶,修春亮.城市网络韧性的概念与分析框架探析[J].地理科学进展,2020,39(3):488-502.[Wei Ye, Xiu Chunliang. Study on the concept and analytical framework of city network resilience[J]. Progress in Geography, 2020,39(3):488-502.]
[10] Taylor P J, Catalano G, Walker D R F. Measurement of the world city network[J]. Urban Studies, 2002,39(13):2367-2376.
[11] 王姣娥,杜德林,金凤君.多元交通流视角下的空间级联系统比较与地理空间约束[J].地理学报,2019,74(12):2482-2494.[Wang Jiao'e, Du Delin, Jin Fengjun. Comparison of spatial structure and linkage systems and geographic constraints:A perspective of multiple traffic flows[J]. Acta Geographica Sinica, 2019,74(12):2482-2494.]
[12] 陈伟,刘卫东,柯文前,等.基于公路客流的中国城市网络结构与空间组织模式[J].地理学报,2017,72(2):224-241.[Chen Wei, Liu Weidong, Ke Wenqian, et al. The spatial structures and organization patterns of China's city networks based on the highway passenger flows[J]. Acta Geographica Sinica, 2017,72(2):224-241.]
[13] Derudder B, Witlox F. An appraisal of the use of airline data in assessing the world city network:A research note on data[J]. Urban Studies, 2005,42(13):2371-2388.
[14] Taylor P J, Derudder B, et al. City-dyad analyses of China's integration into the world city network[J]. Urban Studies, 2014,50(7):1-15.
[15] 王聪,曹有挥,宋伟轩,等.生产性服务业视角下的城市网络构建研究进展[J].地理科学进展,2013,32(7):1051-1059.[Wang Cong, Cao Youhui, Song Weixuan, et al. Research progress in urban network construction from the perspective of producer services industry[J]. Progress in Geography, 2013,32(7):1051-1059.]
[16] 李仙德.基于上市公司网络的长三角城市网络空间结构研究[J].地理科学进展,2014,33(12):1587-1600.[Li Xiande. Spatial structure of the Yangtze River Delta urban network based on the pattern of listed companies network[J]. Progress in Geography, 2014, 33(12):1587-1600.]
[17] 甄峰,王波,陈映雪.基于网络社会空间的中国城市网络特征:以新浪微博为例[J].地理学报,2012,67(8):1031-1043.[Zhen Feng, Wang Bo, Chen Yingxue. China's city network characteristics based on social network space:An empirical analysis of Sina Micro-blog[J]. Acta Geographica Sinica, 2012,67(8):1031-1043.]
[18] Li Y C, Phelps N A. Megalopolis unbound:Knowledge collaboration and functional polycentricity within and beyond the Yangtze River Delta Region in China, 2014[J]. Urban Studies, 2018,55(2):443-460.
[19] 丁志伟,马芳芳,张改素.基于抖音粉丝量的中国城市网络关注度空间差异及其影响因素[J].地理研究,2022,41(9):2548-2567.[Ding Zhiwei, Ma Fangfang, Zhang Gaisu. Spatial differences and influencing factors of urban network attention by Douyin fans in China[J]. Geographical Research, 2022,41(9):2548-2567.]
[20] 冷炳荣,杨永春,李英杰,等.中国城市经济网络结构空间特征及其复杂性分析[J].地理学报,2011,66(2):199-211.[Leng Bingrong, Yang Yongchun, Li Yingjie, et al. Spatial characteristics and complex analysis:A perspective from basic activities of urban networks in China[J]. Acta Geographica Sinica, 2011,66(2):199-211.]
[21] 赵渺希,陈汝霜.网络社会视角下的城市意象理论辨析与规划应用[J].人文地理,2023,38(1):71-78.[Zhao Miaoxi, Chen Rushuang. Theoritical progress and planning prospect of city network in the network society[J]. Human Geography, 2023,38(1):71-78.]
[22] 顾朝林,庞海峰.基于重力模型的中国城市体系空间联系与层域划分[J].地理研究,2008,27(1):1-12.[Gu Chaolin, Pang Haifeng. Study on spatial relations of Chinese urban system:Gravity model approach[J]. Geographical Research, 2008,27(1):1-12.]
[23] 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.[Wu Kang, Fang Chuanglin, Zhao Miaoxi. The spatial organization and structure complexity of Chinese intercity networks[J]. Geographical Research, 2015,34(4):711-728.]
[24] 王逸舟,王海军,张彬,等.基于多维要素流视角的城市群网络结构及影响因素分析——以武汉城市圈为例[J].经济地理,2021,41(6):68-76.[Wang Yizhou, Wang Haijun, Zhang Bin, et al. Analysis on the network structure of urban agglomeration and its influencing factors based on the perspective of multi-dimensional feature flow:Taking Wuhan Urban Agglomeration as an example[J]. Economic Geography, 2021,41(6):68-76.]
[25] 宋琼,赵新正,李同昇,等.多重城市网络空间结构及影响因素——基于有向多值关系视角[J].地理科学进展,2018,37(9):1257-1267.[Song Qiong, Zhao Xinzheng, Li Tongsheng, et al. Spatial structures and influencing factors of multiple urban networks based on the perspective of directed-multivalued relation[J]. Progress in Geography, 2018,37(9):1257-1267.]
[26] Cao Z, Ben D, Peng Z. Comparing the physical, functional and knowledge integration of the Yangtze River Delta city-region through the lens of inter-city networks[J]. Cities, 2018,82(11):119-126.
[27] Yang H, Dijst M, Witte P, et al. Comparing passenger flow and time schedule data to analyse high-speed railways and urban networks in China[J]. Urban Studies, 2019,56(6):1267-1287.
[28] Guan M M, Wu S Y, Liu C L. Comparing China's urban aviation and innovation networks[J]. Growth and Change, 2022,53(1):470-486.
[29] Pan J H, Lai J B. Spatial pattern of population mobility among cities in China:Case study of the National Day plus Mid-Autumn Festival based on Tencent migration data[J]. Cities, 2019,94(11):55-69.
[30] 潘竟虎,赖建波.中国城市间人口流动空间格局的网络分析——以国庆-中秋长假和腾讯迁徙数据为例[J].地理研究,2019,38(7):1678-1693.[Pan Jinghu, Lai Jianbo, Research on spatial pattern of population mobility among cities:A case study of Tencent Migration big data in National Day to Mid-Autumn Festival vacation[J]. Geographical Research, 2019,38(7):1678-1693.]
[31] 蒋小荣,汪胜兰.中国地级以上城市人口流动网络研究——基于百度迁徙大数据的分析[J].中国人口科学,2017(2):35-46.[Jiang Xiaorong, Wang Shenglan. Research on China's urban population mobility network:Based on Baidu migration big data[J]. Chinese Journal of Population Science, 2017(2):35-46.]
[32] 魏冶,修春亮,刘志敏,等.春运人口流动透视的转型期中国城市网络结构[J].地理科学,2016,36(11):1654-1660.[Wei Ye, Xiu Chunliang, Liu Zhimin, et al. Spatial pattern of city network in transitional China based on the population flows in Chunyun period[J]. Scientia Geographica Sinica, 2016,36(11):1654-1660.]
[33] 臧玉珠,周生路,周兵兵,等. 1995-2010年中国省际人口迁移态势与空间格局演变——基于社会网络分析的视角[J].人文地理, 2016,31(4):112-118.[Zang Yuzhu, Zhou Shenglu, Zhou Bingbing, et al. The volume changes and spatial pattern dynamics of China's interprovincial migration:A perspective of social network analysis[J]. Human Geography, 2016,31(4):112-118.]
[34] 董上,蒲英霞,马劲松,等.中国省际人口迁移的复杂网络研究[J].南方人口,2014,29(2):54-61.[Dong Shang, Pu Yingxia, Ma Jinsong, et al. A study of the complex network of China's interprovincial migration[J]. South China Population, 2014,29(2):54-61.]
[35] 刘铮,王世福,赵渺希,等.有向加权型城市网络的探索性分析[J].地理研究,2013,32(7):1253-1268.[Liu Zheng, Wang Shifu, Zhao Miaoxi, et al. Exploratory analysis of directed weighted network of city[J]. Geographical Research, 2013,32(7):1253-1268.]
[36] 段成荣,孙玉晶.我国流动人口统计口径的历史变动[J].人口研究, 2006,30(4):70-76.[Duan Chengrong, Sun Yujing. Historical changes in the statistical caliber of China's floating population[J]. Population Research, 2006,30(4):70-76.]
[37] Gu H Y, Shen J F, Chu J. Understanding intercity mobility patterns in rapidly urbanizing China, 2015-2019:Evidence from longitudinal poisson gravity modeling[J]. Annals of the American Association of Geographers, 2023,113(1):307-330.
[38] Salvati L. Residential mobility and the local context:Comparing long-term and short-term spatial trends of population movements in Greece[J]. Socio-Economic Planning Sciences, 2020, 72(11):1-12. https://doi.org/10.1016/j.seps.2020.100910.
[39] Zhang W L, Chong Z H, Li X J, et al. Spatial patterns and determinant factors of population flow networks in China:Analysis on Tencent Location Big Data[J]. Cities, 2020,99(4):1-13. https://doi.org/10.1016/j.cities.2020.102640.
[40] 赵梓渝,魏冶,王士君,等.有向加权城市网络的转变中心性与控制力测度——以中国春运人口流动网络为例[J].地理研究,2017,36(4):647-660.[Zhao Ziyu, Wei Ye, Wang Shijun, et al. Measurement of directed alternative centricity and power of directed weighted urban network:A case of population flow network of China during Chunyun period[J]. Geographical Research, 2017,36(4):647-660.]
[41] Newman M, Girvan M. Finding and evaluating community structure in networks[J]. 2004,69(2):1-16. https://doi.org/10.1103/PhysRevE.69.026113.
[42] Blondel V D, Guillaume J L, Lambiotte R, et al. Fast unfolding of communities in large networks[J]. Journal of Statistical Mechanics:Theory and Experiment, 2008,2008(10):1-12. https://doi.org/10.1088/1742-5468/2008/10/P10008.
[43] Camagni R P, Salone C. Network urban structures in Northern Italy:Elements for a theoretical framework[J]. Urban Studies, 1993, 30(6):1053-1064.