黄河流域百度指数联系特征及影响因素研究  

The Study on the Characteristics and Influencing Factors of Baidu Index Connection of the Yellow River Basin

作　　者：郜清雯 李全[1] GAO Qingwen;LI Quan(School of Resource and Environmental Sciences,Wuhan University,430072,Wuhan,Hubei,China)

机构地区：[1]武汉大学资源与环境科学学院,湖北武汉430072

出　　处：《特区经济》2025年第4期18-21,共4页Special Zone Economy

摘　　要：本文以黄河流域73个城市为研究对象,采用GIS空间分析法和社会网络分析法,基于两两城市间的百度指数,从联系强度、度中心度、核心-边缘结构3个方面对2014年和2021年百度指数联系网络的结构特征进行研究,并利用QAP模型分析影响因素。一是黄河流域百度指数联系网络层级特征明显,一级联系网络由郑州、西安双核心模式演变为郑州、西安、济南、青岛多核心模式。二是黄河流域城市的度中心度整体呈现东高西低的空间分布格局,中心度较高的城市多为副省级城市和省会城市,并且出度往往大于入度。三是黄河流域百度指数联系网络核心—边缘结构突出,核心区主要位于山东、河南两省,并呈现出核心区扩张、边缘区收缩的趋势。四是行政隶属关系和GDP对黄河流域城市联系强度的影响最大。Based on Baidu Index among 73 cities in the Yellow River Basin in 2014 and 2021,using GIS spatial analysis and social network analysis,this paper studied the structure characteristics of Baidu Index connec⁃tion network from three aspects:connection strength,centrality degree and core-edge structure.The influ⁃encing factors were analyzed based on the QAP model.The results show that:(1)The hierarchical distribution of Baidu Index connection network in the Yellow River Basin is obvious.The first-class network has evolved from dual-core model of Zhengzhou and Xi'an to the multi-core model of Zhengzhou,Xi’an,Jinan and Qingdao.(2)The spatial distribution pattern of the centrality degree of cities in the Yellow River Basin is generally high in the east and low in the west.The cities with high centrality degree are mostly sub provincial and pro⁃vincial capital cities,and the out degree of these cities is often greater than the in degree.(3)The coreedge structure of Baidu Index connection network in the Yellow River Basin is relatively distinctive,the core area is mainly located in Shandong and Henan provinces.The core area is expanding and the edge area is shrinking.(4)The administrative affiliation and GDP have the greatest influence on the urban connection strength in the Yellow River Basin.

关 键 词：黄河流域 百度指数 GIS空间分析 社会网络分析 影响因素 

分 类 号：F127[经济管理—世界经济]