多源大数据视角下的贵州省城镇体系空间分异特征  

Characteristics of spatial differentiation of Guizhou's urban system based on multi-source big data

作　　者：龙奋杰[1,2] 石朗 郑龙飞 杨剑锋 彭智育 

机构地区：[1]贵州理工学院 [2]清华大学恒隆房地产研究中心 [3]贵州理工学院大数据学院

出　　处：《城市问题》2017年第12期26-32,共7页Urban Problems

基　　金：国家社会科学基金重点项目(14AJY012)

摘　　要：使用社会网络分析方法,利用手机通话和高速公路收费大数据,从县域等级结构、相关要素流动路径和城镇发展组团三个方面,对信息网络和交通网络背景下的贵州省城镇体系空间分异特征进行了研究。结果显示:贵阳市在贵州省的中心地位愈加突出;贵州省内各类枢纽通过对影响城镇发展的要素流的集散作用,辐射了贵州全省除西南和东南部分少数民族聚居区之外的大部分地区;城镇发展组团突破了原有行政区划和地理因素的限制。此外,通过比较信息网络和交通网络两种网络背景下城镇体系空间结构的差异,发现信息流对城镇体系的中心化具有促进作用,各县域的信息中心度与其经济发展程度正相关;而交通中心度则更容易受行政区划和地理因素的影响。Based on social network analysis,this essay focuses on the study of the spatial differentiation of urban system in Guizhou Province under the background of information network and traffic network from the perspective of county centrality,flow path and development clusters by using the big data from mobile phone conversations and highway tolls. The results show： The center position of Guiyang city in Guizhou Province is more outstanding. By controlling the information flow and traffic flow,hubs of the network influence most regions of the province except the southeast and southwest part; The urban development clusters has broken through the restrictions of the original administrative divisions and geographical factors;By comparing the information network and traffic network,the flow of information is found to play a role in promoting the centralization of urban system,and the information centrality is positively related to the economic development,while traffic centrality is more likely to be affected by the administrative divisions and geographical factors.

关 键 词：大数据 空间分异 信息网络 交通网络 贵州省 

分 类 号：F299.21[经济管理—国民经济]