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地理研究  2014, Vol. 33 Issue (2): 385-400    DOI: 10.11821/dlyj201402016
  区域发展 本期目录 | 过刊浏览 | 高级检索 |
基于社会网络分析的长三角地区人口迁移及演化
王珏1,2, 陈雯1, 袁丰1
1. 中国科学院南京地理与湖泊研究所, 南京 210008;
2. 中国科学院大学, 北京 100049
Human mobility and evolution based on social network:An empirical analysis of Yangtze River Delta
WANG Jue1,2, CHEN Wen1, YUAN Feng1
1. Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
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摘要 在当今全球化与地方化、区域化的背景下,物质和能量在各节点间的高速流动促进了城市网络的形成并成为一种新的区域组织模式和空间结构,尤其是对区域一体化高度发达的区域产生了深刻影响。以长江三角洲地区为例,从人口迁移的网络空间入手,从网络密度、中心势等角度对1982-2010年长三角地区人口网络的演变进行研究。结果表明:整体上人口迁移网络日趋成熟,但空间分布不均衡;人口迁移主要流向上海、杭州、南京、宁波和苏锡常等核心城市,同时这些城市的人口外迁现象逐渐显现;以无锡、苏州、杭州之间人口迁移联系为主体的省际间人口流动行为增多,空间上具有等级扩散的特征;不同空间尺度的网络结构相互嵌套,在地方尺度下形成了江苏以邻域渗透为主和浙江的等级辐合两种网络结构。最后从就业机会、收入水平、产业结构、迁移成本等方面分析了人口迁移网络的演化历经均质离散—单核心集聚—多核心等级网络—链式空间网络四个阶段的成因。
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王珏
陈雯
袁丰
关键词 人口迁移网络社会网络分析重力模型长江三角洲    
Abstract:The fast flow of various productive assets and power among different places has promoted the formation of city networks in the context of globalization, regionalization and localization. The city network has nowadays become a new mode of regional organization and spatial structure, and imposes a significant influence on the process of regional integration. By applying the social network analysis, this article attempts to investigate the characteristics, emergence and evolution of human mobility networks in the Yangtze River Delta region. The density, centralization and connectedness of the networks are calculated, and the results show that the human mobility networks in this region have formed and are characteristics of spatial unbalance in population distribution. Secondly, cities including Shanghai, Hangzhou, Nanjing, Ningbo and Suzhou-Wuxi-Changzhou areas have constituted important nodes of population agglomeration. Meanwhile, these cities are experiencing the process of emigration of population to other adjacent areas. Thirdly, two modes of human mobility networks, inter-province network and intra-province network, coexist in the Yangtze River Delta region. Specifically speaking, the inter-province network is characteristic of hierarchical diffusion, and the migration of population mainly occurs among Wuxi, Suzhou and Hangzhou. However, the intra-province network becomes more complex and can be further categorized two models—Jiangsu's intra-province network and Zhejiang's intra-province network. From the perspective of the spatial pattern, Jiangsu's intra-province network is characteristic of adjacent infiltration which means the relocation of population from population cores to peripheral areas. However, Zhejiang's intra-province network exhibits a hub-and-spoke structure and primarily includes three nodes of population mobility— Hangzhou, Ningbo and Taizhou. Based on the discussion mentioned above, the mechanism of human mobility network is analyzed with the consideration of the effect of employment opportunity, income, industrial structure and mobility cost on the population mobility. The analysis manifests that factors involving the openness of cities, the ratio of secondary industry and tertiary industry, housing price, spatial distance and institutional thickness have significantly affected the formation of human mobility network in the Yangtze River Delta. Finally, this article proposes a theoretical hypothesis of the evolution of human mobility network which includes the following four stages—discrete distribution stage, single-core agglomeration stage, multi-center network stage, and chained spatial network stage.
Key wordshuman mobility network    social network    gravity model    Yangtze River Delta
收稿日期: 2013-07-21     
:  C922  
基金资助:国家自然科学基金重点项目(41130750);中国科学院知识创新工程项目(KZCX2-YW-339)
作者简介: 王珏(1988- ),女,浙江省湖州人,硕士,主要研究方向区域发展和规划。E-mail:jwang@niglas.ac.cn
引用本文:   
王珏, 陈雯, 袁丰. 基于社会网络分析的长三角地区人口迁移及演化[J]. 地理研究, 2014, 33(2): 385-400.
WANG Jue, CHEN Wen, YUAN Feng. Human mobility and evolution based on social network:An empirical analysis of Yangtze River Delta. GEOGRAPHICAL RESEARCH, 2014, 33(2): 385-400.
链接本文:  
http://www.dlyj.ac.cn/CN/10.11821/dlyj201402016      或      http://www.dlyj.ac.cn/CN/Y2014/V33/I2/385
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