中原城市群城市空间联系网络格局分析——基于综合交通信息流

doi:10.13249/j.cnki.sgs.2019.12.011

地理科学 ›› 2019, Vol. 39 ›› Issue (12): 1929-1937.doi: 10.13249/j.cnki.sgs.2019.12.011

中原城市群城市空间联系网络格局分析——基于综合交通信息流

安俞静^1,^2,³, 刘静玉³(), 乔墩墩³

1. 中国科学院南京地理与湖泊研究所, 江苏南京 210008
2. 中国科学院大学, 北京 100049
3. 河南大学环境与规划学院/区域发展与规划研究中心/黄河中下游数字地理技术教育部重点实验室, 河南开封 475000

收稿日期:2018-11-10 修回日期:2019-04-17 出版日期:2019-12-10 发布日期:2020-03-01
通讯作者: 刘静玉 E-mail:liujy@henu.edu.cn
作者简介:安俞静（1994-）,女,河南周口人,博士研究生,主要从事人文地理学、城市发展与区域规划研究。E-mail: yujing_1912@163.com
基金资助:
国家自然科学基金项目资助(41701130)

Urban Spatial Connection and Network Structure in Zhongyuan Urban Agglomeration: A Study Based on Integrated Traffic and Information Flow

An Yujing^1,^2,³, Liu Jingyu³(), Qiao Dundun³

1. Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing 210008, Jiangsu, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. College of Environment and Planning/Centre for Regional Development and Regional Planning/Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475000, Henan, China

Received:2018-11-10 Revised:2019-04-17 Online:2019-12-10 Published:2020-03-01
Contact: Liu Jingyu E-mail:liujy@henu.edu.cn
Supported by:
National Natural Science Foundation of China(41701130)

摘要/Abstract

摘要：

基于中原城市群30个省辖市间的公路、普速、高速列车客运班次和百度指数数据,利用层次分析法、空间可视化和社会网络分析,从多元要素流视角对中原城市群城市空间联系及网络格局进行研究。结果表明:① 交通网络中晋皖地区被边缘化特征明显,信息网络呈现多维度钻石型关联格局,首位联系受省界制约且具有明显指向性。② 综合联系网络呈现“一横两纵”格局,具有低密度、单中心和“富人俱乐部”的基本特征,整体空间上“行政区”掣肘现象依然明显。③ 城市综合实力、基础设施、行政效应与政策导向能够较好的反映城市空间联系及网络格局的形成。

关键词: 城市网络, 联系强度, 空间组织, 中原城市群

Abstract:

With the rapid development of globalization, informatization and urbanization, time-space compression has led to the considerable consolidation of linkages among cities, which show characteristics of network. Therefore, studies on urban network based on space flows have become one of the most important issues of human geography in the era of big date. This article focuses on the identification and spatial structure of multiple elementary flows as well as their synthesis effects for regional development. The data of space flows with highway buses, ordinary trains, high-speed trains and Baidu index information between provincial cities in Zhongyuan urban agglomeration are collected for analyses. Using hierarchy process, spatial variation and social network analytical methods, we explore characteristics of urban spatial connection and network structure from various aspects. Our results indicate that: 1) Traffic flows based urban network displays characteristics of the axis bands, cities with high value of external relations are distributed along the main traffic arteries, while Shanxi and Anhui are marginalized in the regional connection. In contrast, the information network shows a relatively complete, orderly, and coordinated state of connection, and generally presents a multi-dimensional diamone-shaped correlation pattern. The dominant flow is restricted by provincial boundaries and has obvious directivity, which is mostly the one-way flow from low-grade city to higher-grade city. 2) The comprehensive linkage network of traffic and information flow reflects a “one horizontal and two vertical” pattern with the basic characteristics of low density, single center and “rich club”. The connectivity ability among nodes varies significantly. Zhengzhou, Luoyang, Shangqiu and Anyang, in the core development area, have relatively stronger control over the connection network. 3) There is an outstanding phenomenon of subgroups agglomeration in this region, according to the comprehensive linkage network. Moreover, the urban distribution in each subgroup conforms to the principle of spatial proximity. “Axial and radial extension-grouped partition” is the main pattern of spatial organization in Zhongyuan urban agglomeration. 4) At last, the urban size, comprehensive development strength, infrastructure construction, administrative effects and policy orientation could explain the formation of urban spatial relationships and network structure.

Key words: urban network, connection intensity, spatial organization, Zhongyuan urban agglomeration

中图分类号:

K901

安俞静, 刘静玉, 乔墩墩. 中原城市群城市空间联系网络格局分析——基于综合交通信息流[J]. 地理科学, 2019, 39(12): 1929-1937.

An Yujing, Liu Jingyu, Qiao Dundun. Urban Spatial Connection and Network Structure in Zhongyuan Urban Agglomeration: A Study Based on Integrated Traffic and Information Flow[J]. SCIENTIA GEOGRAPHICA SINICA, 2019, 39(12): 1929-1937.

图/表 6

图1

表1

城市对间首位联系强度统计"

	强联系（ $>$ 0.6）（个）	次强联系（0.3~0.6）（个）	弱联系（<0.3）（个）	耦合联系（互为首位联系）（个）	平均首位度
公路	1	14	9	0	0.22
普速铁路	1	7	15	2	0.37
高速铁路	1	7	8	1	0.52
百度信息	2	10	14	1	0.26

表1

图2

图3

表2

表3

中原城市群各城市可达性水平"

城市名称	$A i$ （h）	$A i'$	城市名称	$A i$ （h）	$A i'$	城市名称	$A i$ （h）	$A i'$
郑州	2.70	0.58	鹤壁	4.42	0.94	晋城	5.04	1.08
开封	3.03	0.65	济源	4.50	0.97	濮阳	5.22	1.12
新乡	3.11	0.67	平顶山	4.53	0.98	聊城	5.53	1.19
许昌	3.26	0.70	菏泽	4.60	0.99	宿州	5.56	1.20
焦作	3.40	0.73	周口	4.64	0.99	阜阳	5.62	1.21
安阳	3.60	0.77	邢台	4.65	1.00	南阳	5.69	1.22
洛阳	3.69	0.79	驻马店	4.67	1.01	淮北	5.86	1.26
漯河	3.91	0.84	三门峡	4.95	1.06	长治	6.17	1.33
商丘	4.00	0.86	信阳	5.01	1.08	蚌埠	6.61	1.42
邯郸	4.06	0.87	亳州	5.02	1.08	运城	6.91	1.49

表3

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	1	2	3	4	5	6	7	8
1	1.00	1.00	1.00	0.92	0.56	0.50	0.67	0.44
2	0.91	0.85	0.36	0.25	0.06	0.09	0.09	0.21
3	0.83	0.46	0.10	0.50	0.00	0.00	0.00	0.00
4	1.00	0.16	0.50	0.58	0.08	0.50	0.00	0.00
5	0.56	0.06	0.00	0.00	1.00	0.00	0.00	0.00
6	0.67	0.18	0.25	0.37	0.00	1.00	0.00	0.50
7	0.17	0.00	0.00	0.00	0.00	0.00	0.50	0.67
8	0.22	0.06	0.00	0.00	0.00	0.00	1.00	0.67

中原城市群城市空间联系网络格局分析——基于综合交通信息流

Urban Spatial Connection and Network Structure in Zhongyuan Urban Agglomeration: A Study Based on Integrated Traffic and Information Flow

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