帮助 关于我们

返回检索结果

基于互联网大数据的区域多层次空间结构分析研究
Identifying the Hierarchical Regional Spatial Structure Using Internet Big Data

查看参考文献16篇

文摘 大数据逐渐成为各领域学者开展研究的重要途径,目前在人文-经济地理学界逐渐得到重视,并进行了初步应用,相关研究依据尺度不同可以分为居民出行和消费、城市空间结构、区域社会经济联系等。但目前大数据在人文-经济学的应用研究还属起步阶段,少有研究基于大数据对区域多层级空间结构进行系统甄别分析。本文在采集互联网大数据的基础上,结合统计数据、交通路网等传统数据评价城市综合实力、城际联系强度,并基于此构建区域空间结构计算机算法分析区域多层级空间结构。京津冀案例应用揭示了京津冀多层级体系结构,确定了各城市辐射范围、城际相互作用关系。本文初步探索使用互联网大数据甄别区域空间结构,希望能为人文-经济地理领域开展大数据应用研究提供参考。
其他语种文摘 With the development of Information and Communication Technology (ICT), big data is now becoming an important tool to carry on researches in many fields. In the domain of human geography, big data technology has gained more and more attention, and there are extensive studies carried out which could be categorized into three groups of research hotspots: the residential behavioral spatial pattern, the urban space and the regional structure. But few researches have explored the regional hierarchical spatial structure systematically based on the big data, and the relevant researches are primarily based on the survey data, which has a bottleneck towards the volume and the detailed micro-data acquisition. This study combined the internet big data mined from internet with the GDP and the spatial traffic network data, etc. to identify the regional spatial structure. The gathered data was categorized into three categories: the point data, the line data and the polygon data. They are used to specify the urban overall capacity and the intensity of interactions between city pairs and the serving area respectively. Based on the obtained data, an algorithm was developed to identify the hierarchical regional structure. This method was applied to the Beijing-Tianjin-Hebei region. And a hierarchical regional structure was demonstrated by a multi-way tree created with this algorithm. The established multi-way tree identifies a regional urban ranking system in detail and can be of great help to decision makers in delineating the regional spatial policies. The results shows that Beijing which has the highest overall capacity becomes the core city (root node) and has the largest serving area, but the matured secondary cities around Beijing are still expected to share Beijing's serving functions, and there is a development inequality existing between the north and south part of this region. This study provides a good reference to researches in the domain of human geography with the application of big data.
来源 地球信息科学学报 ,2016,18(6):719-726 【核心库】
DOI 10.3724/SP.J.1047.2016.00719
关键词 大数据 ; 城际联系 ; 城市综合实力 ; 区域多层级空间结构 ; 京津冀
地址

中国科学院地理科学与资源研究所, 中国科学院区域可持续发展分析与模拟重点实验室, 北京, 100101

语种 中文
文献类型 研究性论文
ISSN 1560-8999
学科 测绘学
基金 国家自然科学基金项目 ;  国家科技支撑计划项目
文献收藏号 CSCD:5733150

参考文献 共 16 共1页

1.  Hilbert M. The word's technological capacity to store, communicate, and compute information. Science,2011,332(6025):60-65 被引 27    
2.  顾朝林. 中国城市经济区划分的初步研究. 地理学报,1991,46(2):129-141 被引 43    
3.  高鑫. 城市地理学的"流空间"视角及其中国化研究. 人文地理,2012(4):32-37 被引 32    
4.  赵渺希. 城市网络的一种算法及其实证比较. 地理学报,2014,69(2):169-183 被引 20    
5.  Wall R S. Sectoral differentiation and network structure within contemporary worldwide corporate network. Economic Geography,2011,87(3):267-308 被引 31    
6.  Taylor P J. New regional geographies of the world as practiced by leading advanced producer service firms in 2010. Transactions of the Institute of British Geographers,2013,38(3):497-511 被引 21    
7.  路旭. 基于国际高级生产者服务业布局的珠三角城市网络空间格局研究. 经济地理,2012,32(4):50-54 被引 28    
8.  赵渺希. 基于生产性服务业的中国网络研究. 城市规划,2012(9):23-28,38 被引 51    
9.  Derudder B. An appraisal of the use of airline data in assessing the world city network:a research note on data. Urban Studies,2005,42(13):2371-2388 被引 42    
10.  O'Connor K. Cities and air services:the influence of the airline industry. Journal of Transport Geography,2012,22:46-52 被引 2    
11.  薛俊菲. 基于航空网络的中国城市体系等级结构与分布格局. 地理研究,2008,27(1):23-33 被引 59    
12.  汪明锋. 城市的网络优势--中国互联网骨干网络结构与节点可达性分析. 地理研究,2006,25(2):193-203 被引 3    
13.  Taylor P J. New political geographies:global civil society and global governance through world city networks. Political Geography,2005,24(6):703-730 被引 23    
14.  Hoyler M. Global media cities in transnational media networks. Journal of Economic and Social Geography,2013,104(1):90-108 被引 5    
15.  牛方曲. 城市群多层次空间结构分析算法及其应用——以京津冀城市群为例. 地理研究,2015,34(8):1447-1460 被引 28    
16.  甄峰. 基于网络社会空间的中国城市网络特征——以新浪微博为例. 地理学报,2012,67(8):1031-1043 被引 202    
引证文献 5

1 王晓梦 “交通-产业”耦合背景下的京津冀城市群空间发育特征 地理科学进展,2018,37(9):1231-1244
被引 8

2 徐晓宇 基于开源大数据的北京地区餐饮业空间分布格局 地球信息科学学报,2019,21(2):215-225
被引 7

显示所有5篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号