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华中师范大学学报(自然科学版)  2019, Vol. 53 Issue (5): 815-820    
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基于腾讯位置大数据的长江经济带人口流动空间分析
花 磊1,2,3, 彭宏杰1,2,3, 杨秀锋1,2,3, 刘秀芸1,2,3, 袁绪英1,2,3, 吴宜进1,2,3
1.华中师范大学地理过程分析与模拟湖北省重点实验室, 武汉 430079;2.华中师范大学城市与环境科学学院, 武汉 430079; 3. 华中师范大学地理科学实验教学中心, 武汉 430079
Analysis of population flow space in the Yangtze River Economic Belt based on Tencent Location Big Data
HUA Lei1,2,3, PENG Hongjie1,2,3, YANG Xiufeng1,2,3, LIU Xiuyun1,2,3, YUAN Xuying1,2,3, WU Yijin1,2,3
1.Geographical Process Analysis and Simulation Key Laboratory of Hubei Province of Central China Normal University, Wuhan 430079, China;2.College of urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;3.Geography Science Experimental Teaching, Center Central China Normal University, Wuhan 430079, China
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摘要 在区域合作不断深化的背景下,人口在城市间高速流动,区域内城市的空间联系逐渐加强.城市间的人口流动具有动态性、时效性.目前基于统计年鉴的数据进行人口流动的分析具有迟滞性,因此基于腾讯位置大数据,运用Gephi复杂网络分析方法和GIS空间分析技术,对长江经济带的12个一线城市人口流动数据进行测度分析.结果表明,长江经济带城市人口联系度强度从东部向西部逐渐减弱,长江经济带城市人口流动量存在帕累托分布的“长尾分布”特征.长三角城市圈城市人口联系度高于武汉市城市圈和成渝城市圈,约为后面两个城市圈的2倍,区域地位优势明显.通过对长江经济带城市中心度分析,发现长江上、中、下游区域内存在不同的中心,长江上游主要以成都与重庆为区域中心城市,呈现双核心的空间结构;中游地区主要以武汉为中心,呈现一点多极的空间发展布局并有典型的“小世界”空间网络特点;下游主要呈现多中心集聚的空间分布特点.
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花 磊
彭宏杰
杨秀锋
刘秀芸
袁绪英
吴宜进
关键词 长江经济带 多中心集聚 人口流动 空间分析    
Abstract:The population is now flowing at high speed between cities, and the spatial connection between cities in the region is gradually strengthened. Various forms of communication are the key to leading urban connections. This kind of population movement is dynamic and time-sensitive. The research and analysis of population flow based on the data of the statistical yearbook lacks timeliness and has the effect of hysteresis. Based on Tencent Location Big Data, Gephi complex network analysis tools and GIS spatial analysis technology are applied to measure and analyze the population flow data of 12 first-tier cities in the Yangtze River Economic Belt. The results show that the intensity of urban population connection in the Yangtze River Economic Belt gradually weakens from the east to the west, and the urban population flow in the Yangtze River Economic Belt has the characteristics of “long tail distribution” of the Pareto distribution. The population connection degree of the Yangtze River Delta city circle is much higher than that of the Wuhan City Circle and the Chengdu-Chongqing City Circle, which is about twice that of the other two city circles. The regional status advantage is obvious. Through the analysis of the centrality of the Yangtze River Economic Belt, there are different centers in the upper, middle and lower reaches. The central cities in the upper reaches are mainly Chengdu and Chongqing, presenting a dual-core spatial structure. Multi-polar space development layout centered on Wuhan with the typical “small world” spatial network characteristics exhibits in the middle reaches. The downstream mainly features the spatial distribution of multi-center gathering in the Yangtze River Delta City Circle.
Key wordsYangtze River Economic Belt    multi-central agglomeration    population mobility    spatial analysis
收稿日期: 2019-10-09     
引用本文:   
花 磊,彭宏杰,杨秀锋,刘秀芸,袁绪英,吴宜进,. 基于腾讯位置大数据的长江经济带人口流动空间分析[J]. 华中师范大学学报(自然科学版), 2019, 53(5): 815-820.
HUA Lei,PENG Hongjie,YANG Xiufeng,LIU Xiuyun,YUAN Xuying,WU Yijin,. Analysis of population flow space in the Yangtze River Economic Belt based on Tencent Location Big Data. journal1, 2019, 53(5): 815-820.
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