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机构地区:[1]中国科学院广州地球化学研究所,广州510640 [2]中国科学院大学,北京100049
出 处:《热带地理》2017年第1期33-42,共10页Tropical Geography
摘 要:通过构建城际人口流动倾向度模型并结合社会网络分析法,利用网络用户搜索行为数据对珠三角城市群城际间人口流动倾向路径时空演变特征、流动倾向强度空间差异进行分析。结果显示:珠三角区域核心城市的城际间人口流动倾向相对强度在区域内处于最高水平。中心城市与副中心城市城际间人口流动倾向路径不断巩固。人们体现在网络空间的城际间流动迁移倾向与现实空间的流动迁移行为表现出的路径依赖效应具有一致性。2011―2015年,深圳一直是广州、东莞和惠州的流动首选城市,广州一直是佛山的流动首选城市。2011和2015年珠三角各市在点度中心度位次结果保持稳定,广州一直高居第1位,深圳位居次席。This study analyzed the spatio-temporal evolution of intercity population flow propensity paths and the spatial difference in the population flow propensity intensity in the Pearl River Delta region. Internet search engine data were selected, and they were calculated by relevant evaluation models and analyzed with social network analysis method. With the rapid development of the information and communication technologies, information flow has been playing a crucial role in influencing the intercity population flow propensity. This study selected "recruitment in city j", "map of city j" and "real estate in city j"(in Chinese) as three keywords to inquire the search index data which could reflect common demands people had before they made decisions to move to a new place. Mental propensities of people who would move could be uncovered well by these search indexes online. Thus, the intercity population flow propensity model based on Internet attention degree data was built up to evaluate the dynamic trends of population flow propensity among cities in urban agglomeration of the Pearl River Delta. The social network analysis method was used. It was found that the centrality degree ranking kept stable, Guangzhou, Shenzhen, Foshan and Dongguan ranked from the first to the fourth place in the region, that was in line with the realistic population flow features in 2011 and 2015. Therefore, the analysis method used in this study could reflect well the potential population flow trends. The total relative intensity of population inflow propensity had been introduced to the radiation model and the modified population flow radiation model was used to analyze the dynamic features of intercity population flow intensity, and the intercity population attraction index was established to evaluate the ranking of the capability of attracting population to move in. Results showed that Guangzhou and Shenzhen ranked the first two places and Dongguan and Foshan took the third and the fourth places followed by Huizhou, Zho
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