基于百度迁徙数据的长江中游城市群网络特征研究  被引量:73

The Network Characteristics of Urban Agglomerations in the Middle Reaches of the Yangtze River Based on Baidu Migration Data

在线阅读下载全文

作  者:叶强[1] 张俪璇 彭鹏[2] 黄军林[3] 

机构地区:[1]湖南大学建筑学院,中国湖南长沙410082 [2]湖南师范大学资源与环境科学学院,中国湖南长沙410081 [3]长沙市规划信息服务中心,中国湖南长沙410013

出  处:《经济地理》2017年第8期53-59,共7页Economic Geography

基  金:高等学校博士点基金资助项目(20130161110040);国家自然科学基金项目(41371144)

摘  要:利用百度地图春节人口迁徙大数据,采取社会网络分析方法,主要从密度、中心性、核心—边缘结构三个方面对长江中游城市群网络特征进行研究。结果表明:(1)长江中游城市群整体网络密度较低,仅为0.4315,城市间联系度不高;(2)长沙、武汉、南昌三个城市中心性相对较高,具有较强的控制力和影响力;(3)长江中游城市群具有较明显的核心—边缘趋势,呈现"金字塔"结构。长沙、南昌对周边城市有较强的带动作用,武汉强"核心"城市的阴影效应明显;(4)城市核心度与城市中心职能强度具有明显的正相关关系。The Middle Yangtze River Valley has become more significant in China's regional development pattern due to the reply of the Development Planning of Urban Agglomerations in the Middle Reaches of the Yangtze River. So,studying its network structure and discussing the orderly development mechanism is becoming a focal point in the society.Based on Baidu migration data,this paper studies the network characteristics of the urban agglomerations in the middle reaches of the Yangtze River and by the social network analysis method. The results shows:(1) The whole network density of the urban agglomerations in the middle reaches of the Yangtze River is only 0.4315. Connections between the cities is not high.(2)The centrality of Changsha, Wuhan, Nanchang is relatively high, which means more power and influence.(3) The urban agglomerations in the middle reaches of the Yangtze River has the obvious trend of the core and edge, which shows the "Pyramid" structure. The driving roll of Changsha and Nanchang to the surrounding cities is remarkable, while Wuhan is not.(4) The urban core degree based on the stream of people has a positive correlation with the strength of the city center.

关 键 词:百度迁徙数据 社会网络分析法 城市网络 流空间 人口迁徙 长江中游城市群 长江经济带 

分 类 号:F291[经济管理—国民经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象