城市群网络空间交互情景的场源场强分析法

doi:10.11947/j.AGCS.2015.20140266

测绘学报 ›› 2015, Vol. 44 ›› Issue (7): 805-812.doi: 10.11947/j.AGCS.2015.20140266

城市群网络空间交互情景的场源场强分析法

何建华^1,2, 李纯¹, 刘耀林^1,2, 俞艳³

1. 武汉大学资源与环境科学学院, 湖北武汉 430079;
2. 武汉大学地理信息系统教育部重点实验室, 湖北武汉 430079;
3. 武汉理工大学资源与环境工程学院, 湖北武汉 430070

收稿日期:2014-05-21 修回日期:2014-09-24 发布日期:2015-07-28
通讯作者: 李纯,E-mail:lichun1020@whu.edu.cn E-mail:lichun1020@whu.edu.cn
作者简介:何建华(1974-),男,博士,研究方向为复杂地理过程分析与模拟、不确定空间关系推理、土地利用空间优化决策。E-mail:hjianh@126.com.
基金资助:
国家自然科学基金(41471339)

A Field Source-strength Method for Interaction Scenario in Network Space of Metropolitan

HE Jianhua^1,2, LI Chun¹, LIU Yaolin^1,2, YU Yan³

1. School of Resources and Environment Science, Wuhan University, Wuhan 430079, China;
2. Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China;
3. School of Resources and Environment Engineer, Wuhan University of Technology, Wuhan 430070, China

Received:2014-05-21 Revised:2014-09-24 Published:2015-07-28
Supported by:
The National Natural Science Foundation of China (No. 41471339)

摘要/Abstract

摘要：

区域网络空间交互已逐渐成为地理学热点研究问题。本文将由城市群形成的城市化区域抽象为地理空间数据场,以城市为场源、城市间的交互作用为场强度量,构建了基于地理空间数据场的城市间多向网络交互情景分析模型。以武汉城市圈为典型区,以城市圈5年时点数据为基础,分析了城市多向网络交互作用及其在区域一体化发展过程中的动态变化。结果表明:武汉城市圈内一核众弱空间格局明显,区域整体交互差异显著不均;2006年后,城市交互强度上升速率有了较大提升,武汉城市圈政策对城市网络交互情景的影响初步显现。

关键词: 多向交互, 空间数据场, 情景分析, 空间格局, 武汉城市圈

Abstract:

With the collaborative development of region, spatial interaction has become a hotspot issue in geography research. A scenario analysis model of urban multidimensional interaction was proposed based on geography spatial data field. Where the urban clustering area was viewed as a geography spatial data field. While the intercity spatial interactions were considered as field strength in the model. Then Wuhan metropolitan area was taken as a case to study intercity spatial interaction and its dynamics. The results indicates that the intercity spatial interaction is infirmness and its spatial pattern showing “one nuclear and multitude weak”, eastern interaction stronger than the west. Since 2006, effected by the policy of “1+8 City Circle of Wuhan”, the interaction has been reinforced and the integration process has been promoted effectively in recent years.

Key words: multilateral interaction, spatial data field, scenario analysis, spatial pattern, Wuhan metropolitan areas

中图分类号:

P208

何建华, 李纯, 刘耀林, 俞艳. 城市群网络空间交互情景的场源场强分析法[J]. 测绘学报, 2015, 44(7): 805-812.

HE Jianhua, LI Chun, LIU Yaolin, YU Yan. A Field Source-strength Method for Interaction Scenario in Network Space of Metropolitan[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(7): 805-812.

参考文献

[1] LU Feng, ZHOU Chenghu, WAN Qing. A Feature-based Non-planar Data Model for Urban Traffic Networks[J]. Acta Geodaetica et Cartographica Sinica, 2000, 29(4): 334-341. (陆锋, 周成虎, 万庆. 基于特征的城市交通网络非平面数据模型[J]. 测绘学报, 2000, 29(4): 334-341.)
[2] ZENG Yongnian, ZHANG Yingying, ZHANG Honghui, et al. A Quantitative Analysis of Urban Growth and Associated Thermal Characteristics Using Remote Sensing Data[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(1): 65-70. (曾永年, 张璎璎, 张鸿辉, 等. 城市扩展强度及其地表热特性遥感定量分析[J]. 测绘学报, 2010, 39(1): 65-70.)
[3] HU Qingwu, WANG Ming, LI Qingquan. Urban Hotspot and Commercial Area Exploration with Check-in Data[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(3): 314-321. (胡庆武, 王明, 李清泉. 利用位置签到数据探索城市热点与商圈[J]. 测绘学报, 2014, 43(3): 314-321.)
[4] REILLY W J. Methods for the Study of Retail Relationship[M]. Texas: University of Texas Bulletin, 1929: 164.
[5] SMITH D A. Interaction within a Fragmented States: The Example of Hawaii[J]. Economic Geography, 1963, 39(3): 234-244.
[6] MACGILL S M. The Lowry Model as an Input-output Model and Its Extension to Incorporate Full Intersectoral Relations[J]. Regional Studies, 1977, 11(5): 337-354.
[7] LI Guoping, WANG Liming, YANG Kaizhong. The Measurement and Analysis of Economic Relationship between Shenzhen and Zhujiang Delta[J]. Economic Geography, 2001, 21(1): 33-37. (李国平, 王立明, 杨开忠. 深圳与珠江三角洲区域经济联系的测度及分析[J]. 经济地理, 2001, 21(1): 33-37.)
[8] CHEN Yanguang, LIU Jisheng. Derivation and Generalization of the Urban Gravitational Model Using Fractal Idea with an Application to the Spatial Cross-correlation between Beijing and Tianjin[J]. Geographical Research, 2002, 21(6): 742-752. (陈彦光, 刘继生. 基于引力模型的城市空间互相关和功率谱分析[J]. 地理研究, 2002, 21(6): 742-752.)
[9] LI Shan, WANG Zheng, ZHONG Zhangqi. Gravity Model for Tourism Spatial Interaction: Basic Form, Parameter Estimation and Applications[J]. Acta Geographica Sinica, 2012, 67(4): 526-544. (李山, 王铮, 钟章奇. 旅游空间相互作用的引力模型及其应用[J]. 地理学报, 2012, 67(4): 526-544.)
[10] GU Chaolin, PANG Haifeng. Study on Spatial Relations of Chinese Urban System: Gravity Model Approach[J]. Geographical Research, 2008, 27(1): 1-12. (顾朝林, 庞海峰. 基于重力模型的中国城市体系空间联系与层域划分[J]. 地理研究, 2008, 27(1): 1-12.)
[11] DU Guoqing. Spatial Structure of Urban Systems in Developing Countries: A Case Study of China[J]. Journal of Nanjing University (Natural Sciences), 2006, 42(3): 225-241.
[12] ZHU Yingming, YU Nianwen. Urban Flows in the Hu Ning Hang Urban Compact District[J]. Urban Planning Forum, 2002(1): 31-33. (朱英明, 于念文. 沪宁杭城市密集区城市流研究[J]. 城市规划汇刊, 2002(1): 31-33.)
[13] ZHANG Hongou, YE Yuyao, LUO Xiaoyun. Research on the Degree of the Urban Flow of Pearl River Delta[J]. Areal Research and Development, 2004, 23(6): 53-56. (张虹鸥, 叶玉瑶, 罗晓云. 珠江三角洲城市群城市流强度研究[J]. 地域研究与开发, 2004, 23(6): 53-56.)
[14] JIANG Bo, XIU Chunliang, CHEN Cai. Analysis of Urban Flow and Model Explanation on the Urban Group in Middle-south Part of Liaoning Province[J]. Economic Geography, 2008, 28(5): 853-856, 861. (姜博, 修春亮, 陈才. 辽中南城市群城市流分析与模型阐释[J]. 经济地理, 2008, 28(5): 853-856, 861.)
[15] AI Tinghua. A Displacement of Building Cluster Based on Field Analysis[J]. Acta Geodaetica et Cartographica Sinica, 2004, 33(1): 89-94. (艾廷华. 基于场论分析的建筑物群的移位[J]. 测绘学报, 2004, 33(1): 89-94.)
[16] ZHANG Jingxiong, DU Daosheng. Field-based Models for Positional and Attribute Uncertainty[J]. Acta Geodaetica et Cartographica Sinica, 1999, 28(3): 244-249. (张景雄, 杜道生. 位置不确定性与属性不确定性的场模型[J]. 测绘学报, 1999, 28(3): 244-249.)
[17] LI Hui, XIAO Pengfeng, FENG Xuezhi, et al. Multiscale Edge Detection in Multispectral Remotely Sensed Imagery Based on Vector Field Model[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(1): 100-107. (李晖, 肖鹏峰, 冯学智, 等. 基于向量场模型的多光谱遥感图像多尺度边缘检测[J]. 测绘学报, 2012, 41(1): 100-107.)
[18] WU Wenjie, ZHANG Wenzhong, JIN Fengjun, et al. Spatio-temporal Analysis of Urban Spatial Interaction in Globalizing China:A Case Study of Beijing-Shanghai Corridor[J]. Chinese Geographical Science, 2009, 19(2): 126-134.
[19] LU Shasha, GUAN Xingliang, WANG Zhenbo, et al. Spatial Field of the Yangtze River Delta Economic Zone: An Application of Regional Accessibility and Data Field[J]. Geographical Research, 2013, 32(2): 295-306. (鲁莎莎, 关兴良, 王振波, 等. 基于可达性与数据场的长三角经济区空间场能[J]. 地理研究, 2013, 32(2): 295-306.)
[20] WANG Li, DENG Yu, LIU Shenghe, et al. The Study of Urban Spheres of Influence Based on Improved Field Model and Its Applications: A Case Study of Central China[J]. Acta Geographica Sinica, 2011, 66(2): 189-198. (王丽, 邓羽, 刘盛和, 等. 基于改进场模型的城市影响范围动态演变——以中国中部地区为例[J]. 地理学报, 2011, 66(2): 189-198.)
[21] GUAN Xingliang, FANG Chuanglin, LUO Kui. Regional Economic Development Disparity of China: An Application of Spatial Field[J]. Scientia Geographica Sinica, 2012, 32(9): 1055-1065. (关兴良, 方创琳, 罗奎. 基于空间场能的中国区域经济发展差异评价[J]. 地理科学, 2012, 32(9): 1055-1065.)
[22] PAN Jinghu, SHI Peiji, DONG Xiaofeng. Measurements for Urban Hinterland Area of Cities at Prefecture Level or above in China[J]. Acta Geographica Sinica, 2008, 63(6): 635-645. (潘竟虎, 石培基, 董晓峰. 中国地级以上城市腹地的测度分析[J]. 地理学报, 2008, 63(6): 635-645.)
[23] WANG Zhenbo, XU Jian'gang, ZHU Chuan'geng, et al. The County Accessibility Divisions in China and Its Correlation with Population Distribution[J]. Acta Geographica Sinica, 2010, 65(4): 416-426. (王振波, 徐建刚, 朱传耿, 等. 中国县域可达性区域划分及其与人口分布的关系[J]. 地理学报, 2010, 65(4): 416-426.)
[24] LIU Yaolin, TANG Xu, HE Jianhua. Spatial Analysis Based on Data Field and Its Application to Land Grade[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1009-1013. (刘耀林, 唐旭, 何建华. 基于数据场的空间分析技术及其在土地定级中的应用[J]. 武汉大学学报:信息科学版, 2009, 34(9): 1009-1013.)

城市群网络空间交互情景的场源场强分析法

A Field Source-strength Method for Interaction Scenario in Network Space of Metropolitan

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价