多要素流视角下黄河“几”字弯都市圈空间网络结构及影响因素研究
收稿日期: 2022-06-15
修回日期: 2022-09-16
网络出版日期: 2023-07-24
基金资助
国家社会科学基金重大项目(17ZDA061)
Spatial network structure and its influencing factors of Jiziwan Metropolitan Area of the Yellow River from the perspective of multi-dimensional feature flow
Received date: 2022-06-15
Revised date: 2022-09-16
Online published: 2023-07-24
基于交通流、物流、资金流与信息流等多元数据，运用联系强度、空间结构指数、凝聚子群、二次指派程序（Quadratic assignment procedure，QAP）等方法，对黄河“几”字弯都市圈空间网络“点-线-面”特征及影响因素进行分析。结果表明：（1） 各城市交通流、物流、资金流、信息流与综合流的联系强度差异明显，综合流呈现以太原市与呼和浩特市为核心的“两核多中心”发展态势。（2） 城市网络联系显示物流与资金流的联系更为紧密，同时各要素流网络结构空间非均衡特征明显，总体呈现东强西弱、北强南弱的特征。（3） 空间结构指数表明不同要素流视角下黄河“几”字弯都市圈均呈现较为明显的多中心结构，同时不同要素流视角下的凝聚子群均呈现地理邻近性特征。（4） 经济全球化、交通效率、产业结构、地理邻近性等因素显著影响都市圈多要素联系网络。
关键词： 黄河“几”字弯都市圈; 多要素联系网络; 空间结构; QAP回归分析
曹晨 , 黄贤金 . 多要素流视角下黄河“几”字弯都市圈空间网络结构及影响因素研究[J]. 干旱区地理, 2023 , 46(6) : 993 -1003 . DOI: 10.12118/j.issn.1000-6060.2022.286
This paper takes 21 cities in Jiziwan (riverway bend with the shape of Chinese character “几”) Metropolitan Area of the Yellow River as the study area. Multidimensional data is used such as traffic flow, logistics, capital flow and information flow. The study also uses methods such as connection strength, spatial structure index, cohesive subgroup and QAP regression analysis to analyze the “point-line-plane” characteristics of the spatial network structure and the factors that influence Jiziwan Metropolitan Area of the Yellow River. The results show the following: (1) From the perspective of urban nodes, the connection strength of traffic flow, logistics, fund flow, information flow and comprehensive flow of the cities in Jiziwan Metropolitan Area of the Yellow River are quite different. In general, the comprehensive flow exhibits the development trend of “two cores and a multiple centers” with Taiyuan City and Hohhot City as the cores. (2) From the perspective of different connection flow networks, the connection strength of logistics and capital flow is closer. At the same time, the spatial nonequilibrium characteristics of the network structure of each feature flow are obvious. In general, it is strong in the east and weak in the west, and strong in the north and weak in the south. (3) The spatial structure indexes show that Jiziwan Metropolitan Area of the Yellow River exhibits a relatively obvious polycentric structure from the perspective of multidimensional feature flow, and the cohesive subgroups under different feature flow perspectives all show the characteristics of geographic proximity. (4) QAP regression results show that economic globalization, traffic efficiency, industrial structure and geographic proximity have a significant impact on the multidimensional feature connection network of Jiziwan Metropolitan Area of the Yellow River, while the economic development level has the least impact, indicating that it is not the dominant factor in the flow of factors in this area.
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