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Using Geodetector to explore the factors affecting evolution of the spatial structure of information flow in the middle reaches of the Yangtze River urban agglomeration

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成果类型:
期刊论文
作者:
Wensheng Zheng;Nanqiao Du;Qian Zhang;Xiaofang Wang
通讯作者:
Wang, Xiaofang(wangxiaofang@mail.ccnu.edu.cn)
作者机构:
[Wensheng Zheng; Nanqiao Du; Qian Zhang; Xiaofang Wang] Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan
Hubei
430079, China
Academy of Wuhan Metropolitan Area, Hubei Development and Reform Commission & Central China Normal University, Wuhan
Hubei Institute of Economic and Social Development, Central China Normal University, Wuhan
通讯机构:
[Xiaofang Wang] K
Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, China<&wdkj&>Academy of Wuhan Metropolitan Area, Hubei Development and Reform Commission & Central China Normal University, Wuhan, China
语种:
英文
关键词:
Baidu index;Geodetector;Spatial evolution of information flow;Urban agglomeration of the Yangtze River middle reaches
期刊:
GeoJournal
ISSN:
0343-2521
年:
2022
卷:
87
期:
6
页码:
4511-4529
基金类别:
This study was funded by National Natural Science Foundation of China (Grant Number 41971167).
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
湖北经济与社会发展研究院
摘要:
This paper explores the influence of the real-world urban attributes on the information flow among cities. UCINET was used to analyze the evolution of the spatial structure of information flow (SSIF). The Geodetector is applied to identify the spatial stratified correlation between the SSIF and urban attributes. The authors choose indicators such as economy, scale and facilities as background indicators. Furthermore, based on the textual categorization of the Baidu urban demand map, we selected the factors that people search more frequently as ...

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