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| 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-yi1,2, SONG Xiao-dong1,2, DING Liang3 |
1. College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China;
2. Key Laboratory of Ministry of Education of Ecology and Energy-saving Study of Dense Habitat, Tongji University, Shanghai 200092, China;
3. Collage of Civil Engineering and Architecture, Zhejiang University of Technology, Hangzhou 310014, China |
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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.
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Received: 29 December 2016
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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.
|
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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.]
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|
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|
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|
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Wheeler D C, O'Kelly M E. Network topology and city accessibility of the commercial internet[J]. Professional Geographer, 1999, 51(3):327-339.
|
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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.
|
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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.]
|
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|
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Wheeler D C, O'Kelly M E. Network topology and city accessibility of the commercial internet[J]. Professional Geographer, 1999, 51(3):327-339.
|
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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.]
|
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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.]
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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.
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|
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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.]
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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.]
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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.]
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2018, Vol. 33 
