摘要
基于百度迁徙、百度指数、银行及物流企业等多元流数据,构建多维城市联系强度矩阵,从网络节点、层级及核心-边缘结构三方面综合测度多维流视角下的湖北省城市网络结构特征及其关联性,并选取企业发展、交通可达、产业结构、经济发展和社会服务五类影响因素构建回归分析模型,进一步探析多维网络结构的影响因素。结果表明:(1)不同要素作用下的城市网络中各节点层级分化明显,武汉均处于独立核心地位,天门、潜江、仙桃及神农架林区等均处于较低层级,且不同联系网络的整体联系密度为信息流>物流>资金流>综合流>人流;(2)资金网络和其他网络之间关联性均较强,其中与物流网络在核心边缘城市的数量和空间分布上具有较大共性,而信息网络和人流网络的关联度较小;(3)企业发展和产业结构是多维网络产生共性的主要原因;交通可达、经济发展和社会服务因素是多维网络产生差异性的主要原因,其中,经济发展因素的影响最显著,社会服务因素影响相对最弱。最后基于本研究结论,为湖北省域空间规划的重点方向提出了若干探讨。
Based on the urban connection intensity matrix constructed by Baidu migration,Baidu Index,banks and logistics enterprises,the study measures the characteristics and correlation of urban network structure and its correlation characteristics under multi-dimensional flow in Hubei Province from the perspective of network node,network connection hierarchy and core-edge structure.Five influencing factors including enterprise development,transportation accessibility,industrial structure,economic development and social service are selected to construct regression analysis model to further explore the comprehensive factors affecting the multi-dimensional network structure of Hubei Province.The results show that:(1) Under the effect of different factors,the node levels of the urban network are obviously differentiated.Wuhan is in the independent core position,and Tianmen,Qianjiang,Xiantao and Shennongjia forest areas are in the lower level.Besides,the overall connection density of different connection networks is information flow>logistics>capital flow>comprehensive flow> people flow;(2)Capital network has strong correlation with other networks,and has great commonality with logistics network in the quantity and spatial distribution of core edge cities,while information network has little correlation with people network;(3) Enterprise development and industrial structure are the main reasons for the generality of multidimensional network.Transportation accessibility,economic development and social service factors are the main reasons for the difference of multi-dimensional network.Among them,economic development factors have the most significant influence,while social service factors have the weakest influence.Finally,the paper puts forward some discussions on the key directions of hubei provincial spatial planning based on the conclusion of this study.
作者
幸丽君
杜赛南
孙桂英
陈全
XING Li-jun;DU Sai-nan;SUN Gui-ying;CHEN Quan(Hubei Key Laboratory of Regional Development and Environmental Response,Hubei University,Wuhan 430062,China;College of Resources and Environment,Hubei University,Wuhan 430062,China;Hubei Institute of Urban Planning and Design Limited Liability Company,Wuhan 430062,China)
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2022年第10期2134-2145,共12页
Resources and Environment in the Yangtze Basin
基金
湖北省自然科学基金(2020CFB483)。
关键词
多维要素流
城市网络
网络结构特征
影响机制
湖北省
multi-dimensional element flow
urban network
network structure characteristics
influence mechanism
Hubei Province
