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

doi:10.11821/xb201102005

Abstract

Abstract: Due to unique advantages in a clear understanding of the interrelationship between city and its hinterland, as well as city and city, the study on urban spheres of influence is becoming a highlight in regional research. This paper improves traditional field models in two aspects: the composite indicator and regional accessibility, in order to delineate urban spheres of influence more reasonably. Taking three years of central China as a case study, this paper investigates dynamic evolution of urban spheres of influence. Focusing on the evolution of spatial pattern, we abstract three stages and its corresponding five types theoretically. Finally, recommendation of development has been made for each stage. This study undertakes certain exploration in the study of urban spheres of influence from the perspective of theory and practice, which can provide some references for the studies in this field and other regional research.

Key words: field model, urban spheres of influence, spatial pattern, evolution, central China

WANG Li, DENG Yu, LIU Shenghe, WANG Jianghao. 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.

References

[1] Pan Jinghu, Shi Peiji, Dong Xiaofeng. Measurements for urban hinterland area of cities at prefecture level or above inChina. 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. 地理学报, 2008, 63(6): 635-645.]

[2] Kong Xiangbin, 2007. Study on city s economic hinterland and its spatial definition: Taking Chengdu and Mianyang asexamples [D]. Chengdu: Southwest Jiaotong University, 2007. [孔祥彬. 城市经济腹地及其空间范围的界定: 以成都、绵阳为例[D]. 成都: 西南交通大学, 2007.]

[3] Wang De, Zhao Jinhua. HAP: A computer assisted hinterland division system: Its development and application. CityPlanning Review, 2000, 24(12): 37-41. [王德, 赵锦华. 城镇势力圈划分计算机系统的开发研究与应用: 兼论势力圈的空间结构特征. 城市规划, 2000, 24(12): 37-41.]

[4] Brown L A, Holmes J. The delimitation of functional regions, nodal regions, and hierarchies by functional distanceapproaches. Journal of Regional Science, 1971, 11(1): 57-72.

[5] Taaffe E J. The urban hierarchy: An air passenger definition. Economic Geography, 1962, 38(1): 1-14.

[6] Berry B J L, Lamb R F. The delineation of urban spheres of influence: Evaluation of an interaction model. RegionalStudies, 1974, 8(2): 185-190.

[7] Nystuen J D, Dacey M F. A graph theory interpretation of nodal regions. Papers and Proceedings of the Regional ScienceAssociation, 1961, 7(1): 29-42.

[8] Green H L. Hinterland boundaries of New York City and Boston in southern New England. Economic Geography, 1955, 31(4): 283-300.

[9] Gu Chaolin, Pang Haifeng. Study on spatial relations of Chinese urban system: Gravity model approach. GeographicalResearch, 2008, 27(1): 2-10. [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. 地理研究, 2008, 27(1): 2-10.]

[10] Du Guoqing. Using GIS for analysis of urban system. GeoJournal, 2001, 52(3): 213-221.

[11] ReillyWJ. Methods for the study of retail relationship. University of Texas Bulletin, 1929, (2944): 29-44.

[12] Xu Xueqiang, Zhou Yixing, Ning Yuemin. Urban Geography. Beijing: Higher Education Press, 1997. [许学强, 周一星, 宁越敏. 城市地理学. 北京: 高等教育出版社, 1997.]

[13] Gold C M. The meaning of 'neighbour'//Theories and Methods of Spatio-Temporal Reasoning in Geographic Space.Berlin: Springer-Verlag, 1992: 220-235.

[14] Edwards G. The Voronoi model and cultural space: Applications to the social sciences and humanities/Frank A U, CampariI. Proceedings of Spatial Information Theory: A Theoretical Basis for GIS: European Conference on Spatial InformationTheory, Cosit' 93, Marciana Marina, Elba Island, Italy, 19-22 September, 1993. Berlin and New York: Springer-Verlag,1993: 202-214.

[15] Okabe A, Boots B, Sugihara K et al. Spatial Tessellations, Concepts and Applications of Voronoi Diagrams. New York:JohnWiley & Sons Ltd., 2000,

[16] Wang Guiyuan, Chen Meiwu. Measurement of urban hinterland area based on GIS: A case study of the Yangtze RiverDelta. Geography and Geo-Information Science, 2004, 20(3): 69-73. [王桂圆, 陈眉舞. 基于GIS 的城市势力圈测度研究: 以长江三角洲地区为例. 地理与地理信息科学, 2004, 20(3): 69-73.]

[17] Wen Jiabao. GovernmentWork Report, 2004. [温家宝. 政府工作报告, 2004.]

[18] Gu Chaolin. Urban Geography of China. Beijing: The Commercial Press, 1999. [顾朝林. 中国城市地理. 北京: 商务印书馆, 1999.]

[19] Qin Kun, Guan Zequn, Li Deren et al. The best route analysis based on raster data. Remote Sensing for Land andResources, 2002, 52(2): 38-41. [秦昆, 关泽群, 李德仁等. 基于栅格数据的最佳路径分析方法研究. 国土资源遥感,2002, 52(2): 38-41.]

[20] ESRI. ArcGIS Desktop Developer Help. ESRI Press, 2006.

The Study of Urban Spheres of Influence Based on Improved Field Model and Its Applications:A Case Study of Central China

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

[1]	GU Hengyu, SHEN Tiyan. Spatial evolution characteristics and driving forces of Chinese highly educated talents [J]. Acta Geographica Sinica, 2021, 76(2): 326-340.
[2]	LI Wenlong, KUANG Wenhui, LYU Jun, ZHAO Zhonghua. Adaptive evolution mechanism of rural human-land system in farming-and-pastoral areas of northern China [J]. Acta Geographica Sinica, 2021, 76(2): 487-502.
[3]	CHAI Yuanfang, DENG Jinyun, YANG Yunping, SUN Zhaohua, LI Yitian, ZHU Lingling. Evolution characteristics and driving factors of the water level at the same discharge in the Jingjiang reach of Yangtze River [J]. Acta Geographica Sinica, 2021, 76(1): 101-113.
[4]	HUANG Hai, TIAN You, LIU Jiankang, ZHANG Jiajia, YANG Dongxu, YANG Shun. The mechanism and sensitivity analysis of soil freeze-thaw erosion on slope in eastern Tibet [J]. Acta Geographica Sinica, 2021, 76(1): 87-100.
[5]	WANG De, LI Dan, FU Yingzi. Employment space of residential quarters in Shanghai: An exploration based on mobile signaling data [J]. Acta Geographica Sinica, 2020, 75(8): 1585-1602.
[6]	CAO Zhi, LIU Yansui, LI Yurui, WANG Yongsheng. Spatial pattern and its influencing factors of specialized villages and towns in China [J]. Acta Geographica Sinica, 2020, 75(8): 1647-1666.
[7]	FANG Shimin, HUANG Yan. Spatiotemporal evolutions and coordination of tourism efficiency and scale in the Yangtze River Economic Belt [J]. Acta Geographica Sinica, 2020, 75(8): 1757-1772.
[8]	QU Shijin, HU Shougeng, LI Quanfeng. Stages and spatial patterns of urban built-up land transition in China [J]. Acta Geographica Sinica, 2020, 75(7): 1539-1553.
[9]	YANG Qingyuan, LUO Kui, LAO Xin. Evolution and enlightenment of foreign spatial planning: Exploration from the perspective of geography [J]. Acta Geographica Sinica, 2020, 75(6): 1223-1236.
[10]	WEI Suhao, LI Jing, LI Zeyi, ZONG Gang. Spatio-temporal evolution and its influencing factors of China's agricultural competitiveness [J]. Acta Geographica Sinica, 2020, 75(6): 1287-1300.
[11]	CUI Yaoping, LIU Xuan, LI Dongyang, DENG Qingxin, XU Jianing, SHI Xinyu, QIN Yaochen. Urban spatial correlation characteristics and intrinsic mechanism in the Yangtze River Delta region [J]. Acta Geographica Sinica, 2020, 75(6): 1301-1315.
[12]	WANG Shaojian, GAO Shuang, HUANG Yongyuan, SHI Chenyi. Spatio-temporal evolution and trend prediction of urban carbon emission performance in China based on super-efficiency SBM model [J]. Acta Geographica Sinica, 2020, 75(6): 1316-1330.
[13]	LIU Fenliang, GAO Hongshan, LI Zongmeng, PAN Baotian, SU Huai. Terraces development and their implications for valley evolution of the Jinsha River from Qiaojia to Menggu [J]. Acta Geographica Sinica, 2020, 75(5): 1095-1105.
[14]	LI Luqi, WU Qiyan, LIU Kewen, LIANG Shuangbo, QIAN Chaofeng. Spatial evolution of Eurasian land and sea transport accessibility from the historical perspective [J]. Acta Geographica Sinica, 2020, 75(4): 804-819.
[15]	REN Mengyao, XIAO Zuopeng, James J. WANG. Spatial pattern of intercity less-than-truckload logistics networks in China [J]. Acta Geographica Sinica, 2020, 75(4): 820-832.