摘要
通过百度迁徙大数据,运用城市空间联系强度分析方法和复杂网络分析方法,构建了长三角城市群中的城际出行网络模型,测度并分析其空间结构。结果显示:(1)城际出行网络形成“东强西弱、南北均衡”的格局态势,并形成以合肥、南京、上海、杭州、宁波为主的多中心辐射格局特征。(2)长三角城市群的人口城际出行网络分布上呈现“一大三小”的多中心网络空间格局,上海、南京、杭州和合肥4个节点城市在整个网络中处于绝对主导地位。(3)长三角各个城市在中心性、结构洞水平、核心—边缘结构等指标方面表现出较大的差异性。整体来看,上海、南京、杭州的网络地位较高,铜陵、宣城、池州、滁州、金华、台州、舟山等的网络地位较低。(4)基于城际人口出行数据的长三角城市群空间结构,可以分为以上海、南京、杭州和合肥为中心的4个城市体系。
Based on the Baidu migration big data,by using the urban spatial connection analysis method and the complexity network analysis tools,this paper constructs the model of population flow network in urban agglomerations,and measures and analyzes the characteristics of the complex structure of the network.The research result shows that:(1)The population mobility network formed a migration pattern“strong in the east and weak in the west,balanced in the south and north”which is characterized by multi-center radiation pattern dominated by Hefei,Nanjing,Shanghai,Hangzhou and Ningbo.(2)The whole network presents an obvious multi-core network pattern which contains“one hubs and three subcenters”.The four node cities of Shanghai,Nanjing,Hangzhou and Hefei are absolutely dominant in the whole network.(3)Each city shows great differences in indicators such as centrality,structural hole level,and core-edge structure.On the whole,Shanghai,Nanjing and Hangzhou have higher network status,while Tongling,Xuancheng,Chizhou,Chuzhou,Jinhua,Taizhou and Zhoushan have lower network status.(4)Based on the intercity population migration data,the spatial structure of the Yangtze River Delta Urban Agglomerations can be divided into four urban systems with Shanghai,Nanjing,Hangzhou and Hefei as the centers.
作者
甄茂成
党安荣
阚长城
ZHEN Maocheng;DANG Anrong;KAN Changcheng
出处
《上海城市规划》
2019年第6期8-16,共9页
Shanghai Urban Planning Review
基金
政府间国际科技创新合作重点专项“数字城市规划新技术研发”(编号2017YFE0118600)子课题“数字城市规划技术集成方法研究”
清华大学中国新型城镇化研究院开放基金项目(编号TUCSU-K-17026-01)资助.
关键词
长三角
大数据
城市群
百度迁徙
城际出行
Yangtze River Delta
big data
urban agglomeration
Baidu migration
intercity travel
