Spatial field is an effective tool which can be used to describe the regional development pattern and spatial differences for the decision makers. With the application of principal components analysis, raster cost weighted distance method and k-order data fields, this paper attempts to comprehensively measure the nodality index for central cities, regional accessibility, as well as the spatial field in the Yangtze River Delta Economic Zone, and to reveal the spatial distribution and evolution of regional development. The results indicate that central cities in the Yangtze River Delta Economic Zone have made great progress during the past 10 years and this region tends to be evenly developed. Moreover, regional accessibility condition continues to be improved and the average accessible distance for 3 hours increased by 41 km (from 81 km in 2000 to 122 km in 2008). Most of the central cities in Yangtze River Delta Economic Zone have been covered in the "3-hour metropolitan area" of Shanghai except for Zhoushan and Taizhou. In addition, regional spatial field increased significantly from 2000 to 2008. The spatial heterogeneities are conspicuous and the overall situation reveals that the spatial field in the north is better than that in the south. The distribution pattern of spatial field appears to be single-core with a "Z"-shaped pattern in 2000, while that in 2008 tends to be a "multi-polar" network form. According to the natural breaks method, the distribution pattern of spatial field in Yangtze River Delta Economic Zone can be appropriately divided into five major types, i.e., higher field energy region, high field energy region, the transitional region, lower field energy region and low field energy region. Furthermore, the high field energy region is mainly located in the metropolitan areas of Shanghai, Nanjing, Hangzhou, Suzhou-Wuxi-Changzhou, and the development axis areas of Shanghai-Nanjing and Shanghai-Hangzhou. Most parts of the core and potential regions are located along the north wing of Yangtze River Delta Economic Zone.
LU Shasha, GUAN Xingliang, WANG Zhenbo, SONG Ci
. 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
.
DOI: 10.11821/yj2013020010
[1] 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):1-12.
[2] Haggett P, Cliff A D, Frey A E. Locational Analysis in Human Geography. London: Edward Arnold, 1977.
[3] 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.
[4] 宁越敏, 严重敏. 我国中心城市的不平衡发展及空间扩散的研究. 地理学报, 1993, 48(2): 97-104.
[5] Scotta A, Storperbc M. Regions, globalization, development. Regional Studies, 2003, 37(6-7): 549-578.
[6] Short J R. Global Metropolitan;Globalizing Cities in a Capitalist World. London and New York: Routledge, 2004.
[7] Ploega F, Poelhekkeb S. Globalization and the rise of mega-cities in the developing world. Cambridge Journal of Regions, Economy and Society, 2008, 1: 477-501.
[8] 顾朝林. 中国城市经济区划分的初步研究. 地理学报, 1991, 46(2): 129-141.
[9] 陈田. 我国城市经济影响区域系统的初步分析. 地理学报, 1987, 42(4): 308-318.
[10] 周一星, 张莉. 改革开放条件下的中国城市经济区. 地理学报, 2003, 58(2): 271-284.
[11] Green F H W. Urban hinterland in England and Wales: An analysis of bus services. The Geographical Journal,1950, 116(1): 64-81.
[12] 王新生, 余瑞林, 姜友华. 基于道路网络的商业网点市场域分析. 地理研究, 2008, 27(1): 85-92.
[13] 刘兆德, 陈素青. 城市经济区划分方法的初步研究. 人文地理, 1996, 11(增刊): 38-40.
[14] 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.
[15] 王法辉, 金凤君, 曾光. 区域人口密度函数与增长模式: 兼论城市吸引范围划分的 GIS 方法. 地理研究, 2004, 23(1): 97-103.
[16] 张莉, 陆玉麒, 赵元正. 基于时间可达性的城市吸引范围的划分——以长江三角洲为例. 地理研究, 2009, 28(3): 803-816.
[17] 刘卫东, 陆大道. 新时期我国区域空间规划的方法论探讨——以“西部开发重点区域规划前期研究”为例. 地理学 报, 2005, 60(6): 894-902.
[18] 陆大道. 论区域的最佳结构与最佳发展——提出“点-轴系统”和“T”型结构以来的回顾与再分析. 地理学报, 2001, 56(2): 127-135.
[19] 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. 地理科学, 2012, 32(9): 1055-1065.
[20] Christaller W. Central Place in Southern Germany. Translated by Baskin C W, Englewood Cliffs N J: Prentice Hall, 1966.
[21] 周一星, 张莉, 武悦. 城市中心性与我国城市中心性的等级体系. 地域研究与开发, 2001, 20(4): 1-5.
[22] Preston R E. Two centrality models. Yearbook of Association of Pacific Coast Geographers, 1970, 32: 59-78.
[23] Marshall J U. The Structure of Urban Systems. Toronto;University of Toronto Press, 1989.
[24] 闫小培, 林彰平. 20 世纪 90 年代中国城市发展空间差异变动分析. 地理学报, 2004, 59(3): 437-445.
[25] Hansen W G. How accessibility shape land use. Journal of American Institute of Planners, 1959, 25: 73-76.
[26] Kim H M, Kwan M P. Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration. Journal of Geographical Systems, 2003, 5: 71-91.
[27] 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. 地理学报, 2010, 65(4): 416-426.
[28] 金凤君, 王姣娥. 20 世纪中国铁路网扩展及其空间通达性. 地理学报, 2004, 59(2): 293-302.
[29] 吴威, 曹有挥, 曹卫东, 等. 开放条件下长江三角洲区域的综合交通可达性空间格局. 地理研究, 2007, 26(2): 391-402.
[30] Billie G C, Melissa H B, Matthew K et al. Increasing walking: How important is distance to, attractiveness, and size of public open space? American Journal of Preventive Medicine, 2005, 28: 169-172.
[31] 曹小曙, 阎小培. 经济发达地区交通网络演化对通达性空间格局的影响——以广东省东莞市为例. 地理研究, 2003, 22(3): 305-312.
[32] 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. 地理学报, 2011, 66 (2): 189-198.
[33] 韩元利, 胡鹏, 夏文芳, 等. 点状实体 k 阶 Voronoi 多边形的存在性判定. 武汉大学学报: 信息科学版, 2007, 32(9): 833-837.
[34] 张莉, 陆玉麒. “点—轴系统”的空间分析方法研究——以长江三角洲为例. 地理学报, 2010, 65(12): 1534-1547.
[35] 顾朝林, 张敏, 张成, 等. 长江三角洲城市群发展展望. 地理科学, 2007, 27(1): 1-8.
