人流联系和经济联系视角下区域城市关联比较&mdash;&mdash;基于手机信令数据和企业关联数据的研究

doi:10.13959/j.issn.1003-2398.2018.02.011

PDF(5110 KB)

人文地理 ›› 2018, Vol. 33 ›› Issue (2) : 84-91,146. DOI: 10.13959/j.issn.1003-2398.2018.02.011

区域

人流联系和经济联系视角下区域城市关联比较——基于手机信令数据和企业关联数据的研究

王垚¹, 钮心毅^1,2, 宋小冬^1,2, 丁亮³

作者信息 +

THE COMPARISON OF REGIONAL URBAN RELATIONS BETWEEN PEOPLE FLOW AND CAPITAL FLOW——A STUDY BASED ON MOBILE PHONE SIGNALING DATAAND FIRM INTERLOCK DATA

WANG Yao¹, NIU Xin-yi^1,2, SONG Xiao-dong^1,2, DING Liang³

Author information +

文章历史 +

摘要

手机信令数据所代表的人流联系与国内外研究常用的企业关联数据在测度城市关联存在何种差异，尚缺乏明确的研究。本文以江西省北部地区为研究对象，分别以手机信令数据、企业关联数据测度城市关联，比较了两种城市关联与城市之间空间距离、人口规模的关系，比较了两种城市关联网络的层级、结构、腹地。主要研究发现：人流联系不仅集中在城市周边地区，而且集中于较高等级城市之间；经济联系则主要集中在较高等级城市之间。人流联系、经济联系受到城市人口规模影响均较小。人流联系显著地符合幂函数空间衰减规律。手机信令数据和企业关联数据是两种不同的城市关联数据，但可互为补充，较为全面地反映城市关联。

Abstract

The purpose of this study is to explore the differences between people flow and capital flow by using mobile phone signaling data and firm interlocking data to measure urban relations between cities in the northern region of Jiangxi Province. Based on the mobile signaling data, it is possible to identify the mobile phone users' home residence and their travel destinations. Our main conclusions are as follows:firstly, people flow and capital flow is obviously different relational data in urban system. Secondly, urban population size has small influence both on people flow and capital flow, but the spatial decay of people flow significantly meets the power function law, which is consistent with traditional gravity model. Thirdly, in people flow perspectives, the urban interlock network shows a massive group structure, while in capital flow perspectives, the urban interlock network presents a relatively scattered band structure. Fourthly, the people flow is more similar to the hypothesis of central theory, the capital flow has not formed a completely urban network system. Finally, the empirical result shows that the central place system is still prevalent and the urban network system has not yet formed in the northern region of Jiangxi Province, but the strict urban hierarchy system has been disintegrated.

导出引用

王垚, 钮心毅, 宋小冬, 丁亮. 人流联系和经济联系视角下区域城市关联比较——基于手机信令数据和企业关联数据的研究[J]. 人文地理. 2018, 33(2): 84-91,146 https://doi.org/10.13959/j.issn.1003-2398.2018.02.011

WANG Yao, NIU Xin-yi, SONG Xiao-dong, DING Liang. THE COMPARISON OF REGIONAL URBAN RELATIONS BETWEEN PEOPLE FLOW AND CAPITAL FLOW——A STUDY BASED ON MOBILE PHONE SIGNALING DATAAND FIRM INTERLOCK DATA[J]. HUMAN GEOGRAPHY. 2018, 33(2): 84-91,146 https://doi.org/10.13959/j.issn.1003-2398.2018.02.011

中图分类号： F291

参考文献

[1] 李涛,周锐.长三角地区网络腹地划分的关联测度方法比较[J].地理学报,2016,71(2):236-250.[Li Tao, Zhou Rui. Urban hinterworld in Yangtze River Delta:Empirical comparison of two networkbased methods[J]. ActaGeagrophica Sinica, 2016,71(2):236-250.]

[2] 汪鑫,罗震东,朱查松,等.中心与腹地的辩证:基于企业联系的苏州、宁波区域空间关系比研究[J].城市规划学刊,2014(5):79-85.[Wang Xin, Luo Zhendong, Zhu Chasong, et al. Dialectics of the center and the hinterland:A comparative study on regional spatial relations between Suzhou and Ningbo based on corprationrelations[J]. Urban Planning Forum, 2014(5):79-85.]

[3] Castells M.The Information City:Information Technology, Economic Restructuring and the Urban-regional Progress[M]. Oxford:Blackwell, 1989:146.

[4] Castells M. Grassrooting the space of flows[J]. Urban Geography, 1999, 20(4):294-302.

[5] 修春亮,魏冶". 流空间"视角的城市与区域结构[M].北京:科学出版社,2015:20-21.[Xiu Cunliang, Wei Ye. Urban and Regional Structure Under the Perspective of Flow Space[M]. Beijing:Science Press, 2015:20-21.]

[6] Sassen S. The global city:Strategic site/new frontier[J]. American Studies, 2000, 41(2):79-95.

[7] Arthur S, Beckfield A J. Power and position in the world city system[J]. American Journal of Sociology, 2004, 109(4):811-851.

[8] Taylor P J, Aranya R. A global ‘urban roller coaster’? Connectivity changes in the world city network, 2000-2004[J]. Regional Studies, 2008,42(1):1-16.

[9] Derudder B, Taylor P J. The cliquishness of world cities[J]. Global Networks, 2005, 5(1):71-91.

[10] 彼得·霍尔, 凯西·佩恩.多中心大都市:来自欧洲巨型城市区域的经验[M].罗震东,张京祥,陈烨,等,译.北京:中国建筑工业出版社, 2010:37-44.[Hall P, Pain K. Network of Polycentric Metropolis in Europe:Experience from European Mega-city Regions in Europe[M]. Luo Zhendong, Zhang Jingxiang, Chen Ye, et al, trans. Beijing:China Architecture & Building Press, 2010:37-44.]

[11] 唐子来,李涛.长三角地区和长江中游地区的城市体系比较研究:基于企业关联的网络分析[J].城市规划学刊,2014(2):24-32.[Tang Zilai, Li Tao. A comparative analysis of urban systems in the Yangtze Delta Region and the middle Yangtze region:An approach of firm-based interlocking network[J]. Urban Planning Forum, 2014(2):24-32.]

[12] James W, Ronald L M. Information flows among major metropolitan areas in the United States[J]. Annals of the Association of American Geographers,1989, 79(4):523-543.

[13] Camagni R, Stabilini S, Diappi L. City networks in the Lombardy region:An analysis in terms of communication flows[J]. Flux, 1994, 10(15):37-50.

[14] Wheeler D C, O'Kelly M E. Network topology and city accessibility of the commercial internet[J]. Professional Geographer, 1999, 51(3):327-339.

[15] 汪明峰,宁越敏.城市的网络优势——中国互联网骨干网络结构与节点可达性分析[J].地理研究,2006,25(2):193-203.[Wang Mingfeng, Ning Yuemin. The network advantage of cities:An analysis of spatial structure and node accessibility of Internet backbones in China[J]. Geographical Research, 2006, 25(2):193-203.]

[16] 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, Chrn Yingxue. China's city network characteristics based on social network space:An empirical analysis of Sina Micro-blog[J]. Acta Geagrophica Sinica, 2012, 67(8):1031-1043.]

[17] 黎智枫,赵渺希.赛博空间视角下中国三大城市群网络特征——基于豆瓣跨城活动数据[J].人文地理,2016,31(6):102-109.[Li Zhifeng, Zhao Miaoxi. City networks in Cyberspace:Using Doubanevent to measure the cross-city activities in urban agglomeration of China[J]. Human Geography, 2016, 31(6):102-109.]

[18] Smith D A, Timberlake M F. World city networks and hierarchies:1977-1997[J]. American Behavioral Scientist, 2001,44(6):1656-1678.

[19] Taylor P J. New political geographies:Global civil society and global governance through world city networks[J]. Political Geography, 2004, 24(6):703-730.

[20] 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.

[21] Beaverstock J V, Smith R G, Taylor P J, et al. Globalization and world cities:Some measurement methodologies[J]. Applied Geography, 2000, 20(1):43-63.

[22] 罗震东,何鹤鸣,耿磊.基于客运交通流的长江三角洲功能多中心结构研究[J].城市规划学刊,2011(2):16-24.[Luo Zhendong, He Heming, Geng Lei. Analysis of the polycentric structure Yangtze River Delta based on passenger traffic flow[J]. Urban Planning Forum, 2011(2):16-24.]

[23] 龙茂乾,孟晓晨.高速铁路城市联系职能研究——基于京广高铁调研数据的实证[J]. 人文地理,2015,30(3):89-97.[Long Maoqian, Meng Xiaochen. City connection role of high-speed railway:Empirical study based on the survey data of Beijing-Guanzhou highspeed railway[J]. Human Geography, 2015, 30(3):89-97.]

[24] Beaverson J V. Transnational elites in global cities:British expatriates in Singapore's financial district[J]. Geoforum, 2002, 33(4):525-538.

[25] Scott S. Transnational exchanges amongst skilled British migrants in Pairs[J]. Population, Space and Place, 2004, 10(5):391-410.

[26] Taylor P J. The geography of global civil society:NGOs in the world city network[J]. Globalizations, 2004, 1(2):265-277.

[27] Ratti C, Frenchman D, Pulselli R M, et al. Mobile landscapes:Using location data from cell phones for urban analysis[J]. Environment and Planning B-Planning & Design, 2006, 33(5):727-748.

[28] Vieira M R, Frias-Martinez V, et al. Characterizing Dense Urban Areas from Mobile Phone-call Data:Discovery and Social Dynamics[C]. IEEE. Second International Conference on Social Computing, Minneapolis, 2010:241-248.

[29] Reades J, Calabrese F, Sevtsuk A, et al. Cellular census:Explorations in urban data collection[J]. IEEE Pervasive Computing, 2007, 6(3):30-38.

[30] 钮心毅,丁亮,宋小冬.基于手机数据识别上海中心城的城市空间结构[J].城市规划学刊,2014(6):61-67.[Niu Xinyi, Ding Liang, Song Xiaodong. Understanding urban spatial structure of Shanghai central city based on mobile data[J]. Urban Planning Forum, 2014(6):61-67.]

[31] 王德,王灿,谢栋,等.基于手机信令数据的上海市不同等级商业中心商圈的比较——以南京东路、五角场、鞍山路为例[J].城市规划学刊,2015(3):50-61.[Wang De, Wang Can, Xie Dongcan, et al. Comparison of retail centers with different hierarchical levels:A case study of East Nanjing road, Wujiaochang, Anshan road in Shanghai.[J]. Urban Planning Forum, 2015(3):50-61.]

[32] 丁亮,钮心毅,宋小冬.上海中心城就业中心体系测度——基于手机信令数据的研究[J].地理学报,2016,71(3):484-499.[Ding Liang, Niu Xinyi, Song Xiaodong. Measuring the employment center system in Shanghai central city:A study using mobile phone signaling data[J]. ActaGeagrophicaSinica, 2016, 71(3):484-499.]

[33] Batten D F. Network cities:Creative urban agglomerations for the 21 century[J]. Urban Studies, 1995, 32(2):313-327.

[34] Freeman L C. Centrality in social networks:Conceptual clarification[J]. Social Networks, 1978, 1(2):215-239.

[35] Taylor P J. External urban relational process:Introducing central flow theory to complement central place theory[J]. Urban Studies, 2010, 47(13):2803-2818.

[36] 瓦尔特·克里斯塔勒.德国南部中心地原理[M].常正文,王兴中,李贵才,等,译.北京:商务印书馆,1998:61-71.[Christaller W. Germany in the Southern Center of Principle[M]. Chang Wenzheng, Wang Xingzhong, Li Guicai, et al, trans. Beijing:The Commercial Press, 1998:61-71.]