Comparative analysis of structural characteristics of China's 18 typical urban agglomerations based on flows of various elements

城市群 中国 城市等级制度 中心性 经济地理学 溢出效应 地理 社会网络分析 人口 区域科学 业务 运输工程 经济 政治学 社会资本 工程类 数学 社会学 考古 人口学 微观经济学 组合数学 法学
作者
Ming‐Shien Wen,Zhuoqiong Fang,Xiangfeng Zhang
出处
期刊:Ecological Modelling [Elsevier BV]
卷期号:479: 110308-110308 被引量:1
标识
DOI:10.1016/j.ecolmodel.2023.110308
摘要

Flows of different elements among cities can affect urban organizational structures, leading to specific links between and roles for cities within urban agglomerations. Previous studies have mainly focused on flows produced by specific elements in a single urban agglomeration, and they cannot reveal differences in organizational structures affected by multiple elements among different urban agglomerations. Therefore we selected 18 typical urban agglomerations in China and explored their structural characteristics under comprehensive effects of four elements: economy, resources, population and technology, with gravity model and social network analysis. Guangdong-Hong Kong-Macao Urban Agglomeration had a maximum flow intensity of 5.15, this concentration range was the largest from 0.65 to 3.75, indicating that more elements flowed internally. Shandong Peninsula Urban Agglomeration had the largest network density at 0.412, the lowest efficiency at 0.567, and the lowest hierarchy at 0.000, showing that intercity relationships within SP were the tightest among the18 urban agglomerations. Geographical proximity and topological structure of subgroups proved that connections among subgroups were not complex, and cities of different provinces lacked close interactions. Furthermore, most of the key cities with high centrality indexes were municipalities directly under the Central Government or provincial capitals; these cities played important roles in networks and were distributed into “main spillover” and “bidirectional spillover” subgroups. This paper provides a unified analytical framework aimed at urban agglomerations that accounts for flows of multiple types of elements and explores urban organizational structures, and our results could provide scientific guidance for promoting the coordinated and sustainable development of urban agglomerations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
you完成签到,获得积分10
刚刚
科研通AI2S应助舒适路人采纳,获得10
刚刚
今天也是开心小刘完成签到,获得积分10
1秒前
平淡道天完成签到,获得积分10
2秒前
二樊完成签到,获得积分20
3秒前
3秒前
4秒前
7秒前
南屋发布了新的文献求助10
7秒前
陈江河发布了新的文献求助10
7秒前
合适凝雁完成签到,获得积分10
9秒前
机智的阿振完成签到,获得积分10
9秒前
11秒前
科研通AI5应助lys采纳,获得10
12秒前
科研通AI5应助舒适路人采纳,获得10
12秒前
16秒前
上官若男应助两个轮采纳,获得10
17秒前
chen发布了新的文献求助10
19秒前
稗子酿的酒完成签到 ,获得积分10
20秒前
21秒前
惟依发布了新的文献求助10
23秒前
石头发布了新的文献求助10
23秒前
23秒前
24秒前
科研通AI5应助舒适路人采纳,获得10
25秒前
小蘑菇应助CHB只争朝夕采纳,获得10
26秒前
28秒前
万能图书馆应助terry采纳,获得10
29秒前
陈江河发布了新的文献求助10
29秒前
两个轮发布了新的文献求助10
29秒前
33秒前
1523完成签到 ,获得积分10
36秒前
王一发布了新的文献求助20
36秒前
applooc完成签到,获得积分10
37秒前
Lucas应助如沐春风采纳,获得10
37秒前
123完成签到,获得积分10
39秒前
踏实的雁玉完成签到,获得积分10
40秒前
项烙发布了新的文献求助10
40秒前
xxxxxx完成签到,获得积分10
42秒前
44秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
Technologies supporting mass customization of apparel: A pilot project 450
A China diary: Peking 400
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3784187
求助须知:如何正确求助?哪些是违规求助? 3329320
关于积分的说明 10241363
捐赠科研通 3044768
什么是DOI,文献DOI怎么找? 1671305
邀请新用户注册赠送积分活动 800219
科研通“疑难数据库(出版商)”最低求助积分说明 759288