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.
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.
Zipf G K. The P1 P2/D hypothesis: On the intercity movement of persons. American Sociological Review, 1946, 11 (6): 677-686.
[2]
Montis D A, Barthélémy M, Chessa A, et al. The structure of inter-urban traffic: A weighted network analysis. Environment and Planning B: Planning and Design, 2007, 34(5): 905-924.
[3]
Reggiani A, Vinciguerra S. Network connectivity models: An overview and empirical applications.New York: Springer, 2007, 147-161.
[4]
Vries D, Nijkamp P, Rietveld P. Exponential or power distance-decay for commuting? An alternative specification. Environment and Planning A, 2009, 41(2): 461-480.
[5]
Barthélémy M. Spatial networks. Physics Reports, 2011, 499: 1-101.
[6]
Rouwendal J, Nijkamp P. Living in two worlds: A review of home-to-work decisions. Growth and Change, 2004, 35 (3): 287-303.
[7]
Wilson A G. Land-use/Transport interaction models-past and future. Journal of Transport Economics and Policy, 1998, 32(1): 3-26.
[8]
Choukroun J M. A general framework for the development of gravity-type trip distribution models. Regional Science and Urban Economics, 1975, (5): 177-202.
[9]
Fotheringham A S. Spatial structure and distance-decay parameters. Annals of the Association of American Geographers, 1981, 71(3): 425-436.
[10]
Fik T J, Mulligan G F. Spatial flows and competing central places: Towards a general theory of hierarchical interaction. Environment and Planning A, 1990, 22(4): 527-549.
[11]
Gargiulo F, Lenormand M, Huet S, et al. Commuting network models: Getting the essentials. Journal of Artificial Societies and Social Simulation, 2012, 15(2): 6.
[12]
Simini F, González M C, Maritan A, et al. A universal model for mobility and migration patterns. Nature, 2012, 484 (7392): 96-100.
[13]
Lawlor A, Coffey C, McGrath R, et al. Stratification structure of urban habitats. http://ncg.nuim.ie/content/staff/staff/ downloads/apozdnoukhov/stratified_habitats, 2012-8-7.
[14]
Noulas A, Scellato S, Lambiotte R, et al. A tale of many cities: Universal patterns in human urban mobility. Proceedings of the National Academy of Sciences of the United States of America, 2011, 104: 20167-20172.
[15]
Skeldon R. Trends in international migration in the Asian and Pacific Region. International Social Science Journal, 2000, 52(3): 369-382.
[16]
Riddell J B. Beyond the description of spatial pattern: The process of proletarianization as a factor in population migration in West Africa. Progress in Human Geography, 1981, 5(3): 370-392.
[17]
Bravoureta B E, Quiroga R E, Brea J A. Migration decisions, agrarian structure, and gender: The case of Ecuador. Journal of Developing Areas, 1996, 30(4): 463-376.
[18]
Jeanty P W, Partridge M, Irwin E. Estimation of a spatial simultaneous equation model of population migration and housing price dynamics. Regional Science and Urban Economics, 2010, 40(5): 343-352.
[19]
俞路, 张善余. 基于空间统计的人口迁移流分析: 以我国三大都市圈为例. 华东师范大学学报: 哲学社会科学版, 2006, 37(5): 25-31. [Yu Lu, Zhang Shanyu. Spatial analysis of population migration: The case study of three metropolitan areas in China. Journal of East China Normal University: Philosophy and Social Science, 2006, 37(5): 25-31.]
[20]
张永庆, 赵海, 张文波, 等. 城市人口迁移的网络特征. 东北大学学报: 自然科学版, 2006, 27(2): 169-172. [Zhang Yongqing, Zhao Hai, Zhang Wenbo, et al. Network characteristics of urban population migration. Journal of Northeastern University: Natural Science, 2006, 27(2): 169-172.]
[21]
林飞娜, 赵文青, 张萍. 基于GIS 的城市人口空间分布模型与应用: 以长春市区为例. 测绘科学, 2008, 33(4): 163-166. [Lin Feina, Zhao Wenqing, Zhang Ping. GIS based urban population spatial distribution model and application in Changchun. Science of Surveying and Mapping, 2008, 33(4): 163-166.]
[22]
郑明媚, 李满春, 毛亮, 等. GIS 支持的县域人口迁移空间模型研究: 以浙江省临安市为例. 长江流域资源与环境, 2006, 15(3): 281-286. [Zheng Mingmei, Li Manchun, Mao Liang, et al. The spatial model for county-scope population migration aided by GIS. Resources and Environment in the Yangtze Basin, 2006, 15(3): 281-286.]
[23]
段成荣. 省际人口迁移迁入地选择的影响因素分析, 人口研究, 2001, 25(1): 56-61. [Duan Chengrong. Factor analysis of ingoing places choice based on inter-provinces population migration. Population Research, 2001, 25(1): 56-61.]
[24]
严善平. 中国省际人口流动的机制研究. 中国人口科学, 2007, (1): 71-77. [Yan Shanping. Study of mechanism of inter-provinces population migration in China. Chinese Journal of Population Science, 2007, (1): 71-77.]
[25]
Li F, Whalley J, Williams H. Between physical and electronic spaces: The implications for organisations in the networked economy. Environment and Planning A, 2001, 33(4): 699-716.
[26]
甄峰, 张敏, 刘贤腾. 全球化、信息化对长江三角洲空间结构的影响. 经济地理, 2004, 24(6): 748-753. [Zhen Feng, Zhang Min, Liu Xianteng. Study on the influence of globalization and information on Yangtze River Delta region's spatial structure. Economic Geography, 2004, 24(6): 748-753.]
[27]
罗震东, 张京祥. 全球城市区域视角下的长江三角洲演化特征与趋势. 城市发展研究, 2009, (9): 65-73. [Luo Zhendong, Zhang Jingxiang. The development characters and trends of Yangtze River Delta from the global city-regions perspective. Urban Studies, 2009, (9): 65-73.]
[28]
池仁勇. 区域中小企业创新网络形成、结构属性与功能提升: 浙江省市政考察. 管理世界, 2005, (10): 102-112. [Chi Renyong. The formation, structure and function of regional innovative network of small and medium-sized enterprises: A case study of Zhejiang province. Management World, 2005, (10): 102-112.]
[29]
Lambiotte R, Blondel V D, Kerchove D C, et al. Geographical dispersal of mobile communication networks. Physica A: Statistical Mechanics and its Applications, 2008, 387(21): 5317-5325.
[30]
Krings G, Calabrese F, Ratti C, et al. Urban gravity: A model for inter-city telecommunication flows. Journal of Statistical Mechanics: Theory and Experiment, 2009, (7): 1-8.
[31]
Levy M. Scale-free human migration and the geography of social networks. Physica A: Statistical Mechanics and its Applications, 2010, 389(21): 4913-4917.
[32]
Hu Y, Wang Y, Di Z. The scaling laws of spatial structure in social networks. http://arxiv.org/abs/0802.0047, 2012-10-25.
[33]
朱杰. 长江三角洲人口迁移空间格局、模式及启示. 地理科学进展, 2009, 28(3): 353-361. [Zhu Jie. Spatial structure, mode and the meaning of population migration in the Yangtze River Delta. Progress in Geography, 2009, 28(3): 353-361.]
[34]
Lee Y. An allometric analysis of the US urban aystem. Environment and Planning A, 1989, 21(4): 463-476.
[35]
刘法建, 张捷, 陈冬冬. 中国入境旅游流网络结构特征及动因研究. 地理学报, 2010, 65(8): 1013-1024. [Liu Fajian, Zhang Jie, Chen Dongdong. The characteristics and dynamical factors of Chinese inbound tourist flow network. Acta Geographica Sinica, 2010, 65(8): 1013-1024.]
[36]
Borgatti S P, Everett M G, Freeman L C. Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies, 2002.
[37]
刘军. 社会网络分析导论. 北京: 社会科学文献出版社, 2004. 94-146. [Liu Jun. An Introduction to Social Network Analysis. Beijing: Social Sciences Academic Press, 2004. 94-146.]
[38]
刘军. 整体网分析讲义: UCINET 软件实用指南. 上海: 格致出版社, 2009. 54-86, 134-141. [Liu Jun. Lectures on Whole Network Approach: A Practical Guide to UCINET. Shanghai: Truth and Wisdom Press, 2009. 54-86, 134-141.]
[39]
肖群鹰, 刘慧君. 基于QAP 算法的省际劳动力迁移动因理论再检验. 中国人口科学, 2007, (4): 26-33. [Xiao Qunying, Liu Huijun. Retesting dynamical factor theories on inter-provincial labor migration with QAP algorithm. Chinese Journal of Population Science, 2007, (4): 26-33.]
[40]
凯瑟琳·米切尔, 族裔网络. 见: 埃里克·谢泼德, 特雷弗·J·巴恩斯. 经济地理学指南. 北京: 商务印书馆, 2008. 470-488. [Mitchell K. Networks of ethnicity. In: Sheppard E, Barnes T. A Companion to Economic Geography. Beijing: The Commercial Press, 2008. 470-488.]
[41]
Clark G L, Gertler M. Migration and capital. Annals of the Association of American Geographers, 1983, 73(1): 18-34.
[42]
Ricketts E. US investment and immigration from the Caribbean. Social Problems, 1987, 34: 374-387.
[43]
姚华松, 许学强. 西方人口迁移研究进展. 世界地理研究, 2008, 17(1): 154-166. [Yao Huasong, Xu Xueqiang. Progress of research on migration in western countries. World Regional Study, 2008, 17(1): 154-166.]
[44]
Schwartz A. Interpreting the effect of distance on migration. The Journal of Political Economy, 1973, 81(5): 1153-1169.
[45]
李强. 影响中国城乡流动人口的推力与拉力因素分析. 中国社会科学, 2003, 1(5): 125-136. [Li Qiang. An analysis of push and pull factors in the migration of rural worker in China. Social Sciences in China, 2003, 1(5): 125-136.]
[46]
杨云彦, 陈金永, 刘塔. 中国人口迁移: 多区域模型及实证分析. 中国人口科学, 1999, (4): 20-26. [Yang Yunyan, Chen Jinyong, Liu Ta. An analysis of Chinese population migration: Multi-region model. Chinese Journal of Population Science, 1999, (4): 20-26.]
[47]
Friedmann J. Regional Development Policy: A Case Study of Venezuela. Cambridge: MIT Press, 1966.
Henrie C J, Plane D A. Exodus from the California core: Using demographic effectiveness and migration impact measures to examine population redistribution within the western United States. Population Research and Policy Review, 2008, 27(1): 43-64.
[50]
Dredge D. Destination place planning and design. Annals of Tourism Research, 1999, 26(4): 772-791.
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