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长三角城际日常人口移动网络的格局与影响机制
引用本文:唐锦玥,张维阳,王逸飞.长三角城际日常人口移动网络的格局与影响机制[J].地理研究,2020,39(5):1166-1181.
作者姓名:唐锦玥  张维阳  王逸飞
作者单位:1.华东师范大学中国行政区划研究中心,上海 2000622.华东师范大学中国现代城市研究中心,上海 2002413.华东师范大学崇明生态研究院,上海 2002414.上海交通大学安泰经济与管理学院,上海 200030
基金项目:国家自然科学基金项目(41901186);上海哲社青年课题(2018ECK009);华东师范大学科研启动基金(2018ECNU-HLYT016)
摘    要:人口移动是城际要素流动和资源配置的主要载体,是建构区域网络组织的主要形式。本研究关注人口移动的重要组分——短时间尺度48小时内城际日常移动(daily intercity mobility),基于微博签到大数据,通过分析长三角人口日常移动的城际格局发现,人口流动具有向多核心极化的分布特征,受到省级行政边界阻碍,并存在明显的省际差异。通过重力模型进行反向验证,对影响因素进行系统统计检验发现,移动的时间等成本和产业结构、文化、教育等城市特征补充塑造了由物理距离决定的城际移动模式,且相比于移动成本,城市特征对人口移动有着更大的影响。本文拓展了重力模型检验网络影响机制的方法实践,解析了城际日常移动机理,并从人口日常移动角度为理解长三角一体化的进程与优化策略提供参考。

关 键 词:人口移动  城市网络  格局  机制  重力模型  长江三角洲  
收稿时间:2019-05-23
修稿时间:2019-10-16

The pattern and influencing factors of daily population movement network in the Yangtze River Delta
TANG Jinyue,ZHANG Weiyang,WANG Yifei.The pattern and influencing factors of daily population movement network in the Yangtze River Delta[J].Geographical Research,2020,39(5):1166-1181.
Authors:TANG Jinyue  ZHANG Weiyang  WANG Yifei
Institution:1.Research Center for China Administrative Division, East China Normal University, Shanghai 200062, China2.The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China3.Institute of Eco-Chongming, East China Normal University, Shanghai 200241, China4.Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China
Abstract:Population movement is the main carrier of inter-city factor flow and resource alloca-tion. It is also one of the main forms of regional network construction. As the Yangtze River Delta integration has become a national strategy, in order to promote inter-city population movement and regional integration, it is of great importance to recognize the pattern of population movement and analyze the influencing factors. This study focuses on the inter-city daily mobility within 48 hours, one of the important components of population movement, based on the Weibo sign-in data. It analyzes the pattern of inter-city population movements in the Yangtze River Delta, applying the gravity model to test influencing factors, from perspectives of movement cost and city characteristics. The results indicate that: (1) population movements in the study area have multiple cores, and connections between cores and their hinterlands are relatively balanced. In addition, there are three communities in this region, and Shanghai, Suzhou and Hangzhou belong to the same community. (2) Strong population movements occur within each province, and population movement systems of the three provinces are different. Zhejiang and Jiangsu provinces have formed a relatively mature multi-level population mobility system, while the population mobility system in Anhui Province needs to be improved. (3) Movement cost and city characteristics complement the inter-city mobility model shaped by physical distances, and compared with movement cost, city characteristics have a greater impact on population movement. (4) Compared with the inter-province movement, population movements within each province are stronger, and are more likely to occur between cities with different cultures. The greater the differences between the two cities, regarding economic scale and administrative level, the stronger the population movements between them. Besides, differences in industrial structure will inhibit intercity mobility, while differences in education level can promote mobility. This paper expands the applications of the gravity model, analyzes inter-city daily movement mechanism, and provides references for understanding the process of the Yangtze River Delta integration, as well as optimizes policies from the perspective of daily population movement.
Keywords:population movement  urban networks  pattern  mechanism  gravity model  Yangtze River Delta  
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