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作 者:高苹[1,2,3] 戚伟 刘盛和[1,2] 刘振[1,2] 潘泽瀚[4] GAO Ping;QI Wei;LIU Sheng-he;LIU Zhen;PAN Ze-han(Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Key Laboratory of Regional Sustainable Development Modeling,Chinese Academy of Sciences,Beijing 100101,China;School of Humanities and Social Sciences,Beijing Institute of Petrochemical Technology,Beijing 102617,China;Institute for Population Research,Fudan University,Shanghai 200241,China)
机构地区:[1]中国科学院地理科学与资源研究所,北京100101 [2]中国科学院区域可持续发展分析与模拟院重点实验室,北京100101 [3]北京石油化工学院人文社科学院,北京102617 [4]复旦大学人口研究所,上海200241
出 处:《人文地理》2023年第6期82-91,共10页Human Geography
基 金:国家自然科学基金面上项目(42171237,42301276)。
摘 要:从节点、流量、首位联系、社区结构四个层面对中国长短期人口流动视角下的城市网络结构特征及组织模式进行比较研究。结果发现:(1)长短期流动人口均倾向于向少数城市集聚,当考虑网络方向时,城市节点被赋予了不同的功能与角色;(2)长短期人口流均主要分布在胡焕庸线的东南半壁,但长期人口流主要由欠发达城市迁往发达城市,短期人口流主要发生在发达城市间;(3)两个网络的首位联系均表现出邻近连接与择优连接的双重特征,但长期人口流动网络以邻近连接为主,短期人口流动网络以择优连接为主;(4)两个网络均具有明显的社区结构,但长期人口流动网络以组团式的跨省邻近组合型为主,短期人口流动网络以飞地式的跨省跳跃组合型为主。Based on the 1‰ microdata from 2015 1% population sample survey and the Tencent location migration big data in 2018, this study uses complex network analysis method to compare the spatial structure and organization mode of city networks from the perspective of long-and short-term population flows in China, in terms of nodes, flows, first connections and community structure. The results are as follows:1) Both long-and short-term floating population tend to cluster in a few large cities, when considering network direction, city nodes are given different functions and roles. 2) Both long-and short-term population flows are mainly distributed in the southeastern half of the Hu Line. 3) Both networks exhibit the dual characteristics of adjacent connection and preferential connection, but large-scale and high-intensity first connections in long-term human mobility network are dominated by adjacent connection. 4) Both networks have obvious community structure, but the long-term human mobility network is dominated by cross-provincial adjacent combination type, reflecting a“clustered”community structure.
分 类 号:K901.8[历史地理—人文地理学]
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