LIU Baotao,YANG Xinglong,GUO Jia.Spatial Correlation Characteristics Between Urbanization Development and Land Health Utilization[J].Research of Soil and Water Conservation,2018,25(04):386-392,396.
东北地区城镇化发展与土地健康利用空间关联特征
- Title:
- Spatial Correlation Characteristics Between Urbanization Development and Land Health Utilization
- Keywords:
- urbanization development; land health utilization; spatial correlation characteristics; northeast China
- 分类号:
- F291;F301.2
- 摘要:
- 构建城镇化与土地健康利用评价体系，以东北地区34个地级市为例，采用熵值赋权法、加权综合指数和法、自然断裂点法（jenks）、单变量空间自相关模型与双变量空间自相关模型，分别测度了其综合指数，分析了其空间分异特征，并探究了其空间关联特征。结果表明：（1）研究区城镇化水平偏低，呈中心带隆起，向东西两翼递减的“凸槽型”分布格局；辽宁省和黑龙江省表现为“沈阳—大连”双核增长极、“哈尔滨—大庆”双核增长极，吉林省为“长春”单核增长极。（2）研究区土地健康利用状况较为理想，呈以哈大交通经济沿线—松辽平原为轴线的“C”型半环带隆起，向内外两侧递减的分布格局。（3）城镇化全局空间关联特征并不显著，局部空间关联特征仅存在H—H关联型，分布在营口市和鞍山市；土地健康利用呈显著全局正相关特征，局部以空间正相关为主，H—H关联型分布在营口市和鞍山市，L—L关联型分布在鹤岗市、双鸭山市和鸡西市，均以“组团式”呈现；局部负相关（H—L关联型、L—H关联型）分别位于佳木斯市和抚顺市，且以孤立区呈现。（4）城镇化发展与土地健康利用全局空间正相关特征显著，局部为空间正相关，H—H关联型聚集在营口市、鞍山市和抚顺市，L—L关联型集聚在佳木斯市和鹤岗市。该研究能够为区域新型城镇化发展和土地利用决策提供科学依据。
- Abstract:
- We measured the urbanization index and land use index of 34 cities in northeast China, and then analyzed their spatial distribution characteristics and studied their spatial correlation characteristics. The results are as follows. (1) The urbanization level of the study area is low, with a high center and a low distribution pattern on both sides; Liaoning Province and Heilongjiang Province are dual-core growth poles, and Jilin Province is the single pole. (2) The land health level of the study area is good, which is C-type half-ring belt uplift, and decreases to inside and outside. (3) The spatial correlation characteristics of urbanization are not significant, the local spatial association features are H—H-related, and they are clustered in Yingkou City and Anshan City. There are significant positive correlations between land use and local spatial correlation, H—H-related clustering in Yingkou City and Anshan City, L—L-related clustering in Hegang City, Shuangyashan City and Jixi City; local negative correlation (H—L-related, L—H-related) gathered in Jiamusi City and Fushun City. (4) The positive spatial correlation of the two systems is significant, the spatial correlation is positive, the H—H correlations are clustered in Yingkou City, Anshan City and Fushun City, and the L—L correlation is clustered in Jiamusi City and Hegang City. This study can provide a scientific basis for regional new urbanization development and land use decision-making.
参考文献/References:
[1] 傅超,刘彦随.我国城镇化和土地利用非农化关系分析及协调发展策略[J].经济地理,2013,33(3):47-51.
[2] 陆大道,姚士谋.中国城镇化进程的科学思辨[J].人文地理,2007,22(4):1-5.
[3] 姚士谋,吴建楠,朱天明,等.农村人口非农化与中国城镇化问题[J].地域研究与开发,2009,28(3):36-41.
[4] Wieand K. An extension of the monocentric urbanspatial equilibrium model to a multicenter setting:the case of the two center city[J]. Journal of Urban Economics, 1987,21(3):259-271.
[5] Louw E. Land assembly for urban transformation:the case of’s-Hertogenbosch in the Netherlands[J]. Land Use Policy, 2008,25(1):69-80.
[6] Steven A G, Jose A F, Glenn E M. A multiobjective optimization approach to smart growth in land development[J]. Socio-Economic Planning Sciences, 2006,40(3):212-248.
[7] Downs A. What does smart growth really mean[J]. Planning, 2001,67(4):20-25.
[8] Kok K, Verburg P H, Veldkamp T. Integrated assessment of the land system:the future of land use[J]. Land Use Policy, 2007,24(3):517-520.
[9] 刘盛和,陈田,蔡建明.中国非农化与城市化关系的省际差异[J].地理学报,2003,58(6):937-946.
[10] Deng X Z, Huang J K, Rozelle S. Growth, population and industrialization, and urban land expansion of China[J]. Journal of Urban Economics, 2008,63(1):96-115.
[11] Choy L H T, Lai Y, Lok W. Economic performance of industrial development on collective land in the urbanization process in China:Empirical evidence from Shenzhen[J]. Habits International, 2013,37(40):184-193.
[12] 陈明星,陆大道,查良松.中国城市化与经济发展水平关系的国际比较[J].地理研究,2009,28(2):464-474.
[13] 刘伟德.中国人口城市化水平与城乡就业问题探讨[J].经济地理,2001,21(3):427-430.
[14] Leopold A. For the Health of Land[M]. Washington DC:Island Press, 1999.
[15] 陈美球,刘桃菊.土地健康与土地资源可持续利用[J].中国人口·资源与环境,2003,13(4):64-67.
[16] 蔡为民,唐华俊,陈佑启,等.土地利用系统健康评价的框架与指标选择[J].中国人口·资源与环境,2004,14(1):31-35.
[17] 郑华伟,张锐,刘友兆.基于物元分析的土地利用系统健康诊断[J].中国土地科学,2012,26(11):33-39.
[18] 刘宝涛,王冬艳,刘惠清.基于DPSIR模型与TOPSIS算法的吉林省土地利用系统健康诊断[J].吉林农业大学学报,2017,39(1):74-91.
[19] 刘宝涛,郄瑞卿,王冬艳,等.基于灰色关联模型的吉林省土地利用系统健康诊断[J].中国农业资源与区划,2016,37(10):9-17.
[20] 贾琦,运迎霞,尹泽凯.城市群土地利用效益与城镇化水平的时空耦合分析:我国三大城市群的实证分析[J].现代城市研究,2014(8):9-13.
[21] 王红,石培基.武威市城镇化与水土资源效益协调性分析[J].干旱区地理,2013,36(5):963-969.
[22] 黄木易,程志光.区域城市化与社会经济耦合协调发展度的时空特征分析:以安徽省为例[J].经济地理,2012,32(2):77-81.
[23] 刘耀彬,宋学锋.城市化与生态环境的耦合度及其预测模型研究[J].中国矿业大学学报,2005,34(1):94-99.
[24] 刘宝涛,王冬艳,刘惠清.城镇化发展与土地健康利用协同演化关系:以长春市为例[J].经济地理,2016,36(10):76-83.
[25] 郑研.国务院批复《全国老工业基地调整改造规划(2013-2022年)》[N].中国信息报,2013-04-09(1).
[26] 中共中央国务院.《关于全面振兴东北地区等老工业基地的若干意见》[N].人民日报,2015-12-31(1).
[27] 曹广忠,边雪,刘涛.基于人口、产业和用地结构的城镇化水平评估与解释:以长三角地区为例[J].地理研究,2011,30(12):2139-2149.
[28] Anselin L. The local indicators of spatial association:LISA[J]. Geographical Analysis, 1995,27(2):93-115.
[29] Ord J K, Getis A. Local spatial auto correlation statistics:Distributional issues and application[J]. Geographical Analysis, 1995,27(4):286-306.
[30] Wartenberg D. Multivariate spatial correlation:A method for exploratory geographical analysis[J]. Geographical Analysis, 1985,17(4):263-283.
[31] Anselin L, Syabri I, Smirnov O. Visualizing multivariate spatial correlation with dynamically linked windows[C]//Anselin L, Rey S. New Tools for Spatial Data Analysis:Proceedings of the Specialist Meeting. Santa Barbara:University of California, 2002.
[32] 陆汝成,黄贤金.基于省级和市级层次的违法占用耕地与经济发展的空间计量分析[J].中国土地科学,2012,26(7):60-66.
备注/Memo
收稿日期:2017-10-24;改回日期:2017-11-30。
基金项目:吉林省社会科学基金（2017BS27）；教育部人文社会科学研究规划（16YJA790057）；吉林省教育厅“十三五”社会科学研究项目（JJKH20180719SK）
作者简介:刘宝涛(1987-),男,吉林长春人,博士,讲师,主要从事城乡发展与土地规划管理研究。E-mail:liubaotao912@163.com
通讯作者:杨兴龙(1971-),男,吉林磐石人,教授,博士,硕士生导师,主要从事区域产业经济研究。E-mail:yxlchv@126.com