RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2015, Vol. 24 >> Issue (08): 1286-1292.doi: 10.11870/cjlyzyyhj201508004

Previous Articles     Next Articles

ANALYSIS ON THE CHARACTERISTICS AND SPATIAL CORRELATION OF URBAN LAND INTENSIVE USE IN NANCHANG CENTRE AREA

ZHAO Li-hong1,2, CHEN Wen-bo1,2, SHAO Hong3   

  1. 1. Key laboratory of Environment and Landscape, Nanchang 330045, China;
    2. Research Center of Environment and Landscape Ecology, Jiangxi Agriculture University, Nanchang 330045, China;
    3. Land Resource Surveying and Planning Institute, Nanchang 330002, China
  • Received:2014-06-09 Revised:2014-07-14 Online:2015-08-20
  • Contact: 陈文波 E-mail:cwb1974@126.com E-mail:cwb1974@126.com

PDF (PC)

8

Abstract: Global urbanization has been accelerating since 1990s. In China, the urbanization level increased to over 50% in 2011. Along with economic growth and urban population explosion, human's disturbance on natural landscape is unprecedented, threatening national policy goals of arable land protection and environmental conservation. Thus, urban land intensive use has become a research hot spot in the field of Geography and Land Sciences. In this paper, based on the results of intensive land use, the spatial correlation of each urban function areas such as commercial, industrial, educational and residential are found out using global and local Moran's I index. The results showed that the area of moderate intensive land use accounts for 75.4% of the total area. The intensive use level decrease along with the distance to urban centre. There exists a high spatial correlation in each function area either in global or regional level. In global level, global Moran's I of each functional areas are greater than 0. It was discovered that residential function area has the strongest spatial correlation while educational function area has a weak correlation. Living functional area is the strongest, with an I value of 0.74 and the highest score of 163.73. They have similar values in the surrounding elements (higher or lower value). The main reason is that living area occupies the dominant position, supporting infrastructure complete, easy to form a neighbourhood effect. The industrial zone ranked second, with an I value of 0.62 and Z value of 8.48. The industrial park, economic and technological development zone, hi tech industrial park have strong correlation with each other. For the commercial district, the I value is 0.52 and the Z value is 7.68. City commercial land and residential land are close to the old city, so they are Gathered easily. In local level, there exists a positive correlation among function areas and presents an spatial aggregation characteristics. The high value of the clustering (HH) is mainly concentrated in the old city center area, with higher intensive degrees. Low value clustering (LL) is mainly distributed in the periphery of the old urban areas, which are comprehensive modern residential with complete infrastructure, but low occupancy rates, and low population density. Commercial and residential areas have high value of clustering, and industrial and educational function areas have low value of clustering. We argue that the areas with high value of intensive degree should adjust the structure of land use through the old city reconstruction and land replacement and the areas with low value of intensive degree should formulate a policy guidance to improve intensive degree. This paper is expected to support the urban intensive land use of case study area both in theoretical and practical means.

Key words: urban land, intensive use, spatial correlation, Nanchang City

CLC Number: 

  • F
[1] CLARK M. The compact city: European ideal, global fix or myth? [J].GBER, 2005, 4(3):1-11.
[2] 周秀芳, 李建强, 熊小容,等.成都市土地集约利用与城市化协调发展研究[J].湖北农业科学, 2014, 53(1):236-240.
[3] 谢 毅, 石晨曦.城市土地集约利用影响因素分析——以南宁市为例[J].江西农业学报, 2013, 25(2):132-134.
[4] 吴郁玲, 曲福田.中国城市土地集约利用的影响机理:理论与实证研究[J].资源科学, 2007, 29(6): 106-113.
[5] TAN D, HUANG X J. Influencing factors of the levels of intensive use of typical industrial land [J]. China population, Resources and Environment, 2008, 18(3):54-57.
[6] 帅文波, 杜新波.土地节约集约利用内涵及机制研究[J].生态经济, 2013, 4:52-57.
[7] 何明花, 刘峰贵, 唐仲霞,等.西宁市城市土地集约利用研究[J].干旱区资源与环境, 2014, 28(3):44-48.
[8] 刘 辉, 谢天文.城市扩展特征下的城市土地集约利用研究——以福州市为例[J].福州大学学报(自然科学版),2014,42(2):290-298.
[9] 黎孔清, 陈银蓉.低碳理念下的南京市土地集约利用评价[J].中国土地科学, 2013, 27(1):61-66.
[10] 张中秋, 胡宝清.低碳背景下的区域土地集约利用评价研究——以广西为例[J].广西师范学院学报(自然科学), 2012, 29(3):72-79.
[11] 周璐红, 洪增林, 余永林.街区经济发展中土地集约利用评价研究——以西安市莲湖区为例[J].中国土地科学, 2012, 26(7):78-83.
[12] 王中亚, 陈卫东, 张广平.资源型城市土地集约利用评价与影响因素分析[J].地域研究与开发, 2012, 31(6):139-144.
[13] 宋成舜, 崔薛华,柯新利,等.城市土地集约利用综合效益演化研究——以湖北省咸宁市为例[J].水土保持研究, 2013, 20(1):230-234.
[14] LIN S W, BEN T I, et al. Impact of government and industrial agglom eration on industrial land prices: A Taiwanesecase study [J]. Habitat International, 2009, 33(4): 412- 418.
[15] MENG Y, ZHANG F R, AN P L,et al. Industrial land-use efficiency and plann ing in Shuny, Beijing [J].Landscape and Urban Planning, 2008,85 (1):40- 48.
[16] 陈银蓉, 梅 昀等.经济学视角下城市土地集约利用的决策分析[J].资源科学, 2013, 35(4):739-748.
[17] 赵小风, 黄贤金.城市土地集约利用研究进展[J].自然资源学报, 2010, 25(11):1987-1996.
[18] 邱 磊, 廖和平.成渝经济区的城市土地集约利用评价及时空特征分析[J].西南师范大学学报(自然科学版), 2010, 35(1):208-213.
[19] 张松林, 张 昆.空间自相关局部指标Moran指数和G系数研究[J].大地测量与地球动力学, 2007, 27(3):31-34.
[20] OVERMARS K P, DE KONING G H J, VELDKAMP J A. Spatial Autocorrelation in multi-scale land use models[J]. Ecological Modelling, 2003, 16(4): 257-270.
[21] 刘 敏, 赵翠薇.贵州山区土地利用变化多尺度空间自相关分析[J].农业工程学报, 2012, 28(20):239-246.
[22] ZHAO Y, MURAYAMA Y. Effect of spatial scale on urban land-use pattern analysis in different classification systems: An empirical study in the CBD of Tokyo[J].Theory and Application of GIS,2006, 14(1): 29-42.
[23] 谢花林, 刘黎明, 李 波,等. 土地利用变化的多尺度空间自相关分析:以内蒙古翁牛特旗为例[J].地理学报, 2006, 61(4):389-400.
[24] 高 凯, 周志翔, 杨玉萍.长江流域土地利用结构及其空间自相关分析[J].长江流域资源与环境, 2010, 19(21):13-20.
[25] 谷建立, 张海涛,陈家赢,等.基于DEM 的县域土地利用空间自相关格局分析[J].农业工程学报,2012, 28(23):216-224.
[26] 国家土地资源部.TD/T 1018-2008, 建设用地节约集约利用评价规程[M].北京:中国标准出版社,2008.
[27] 吴玉鸣,陈志建.居民消费水平的空间相关性与地区收敛分析[J].世界经济文汇, 2009, (5):76-89.
[1] LI Xin, XIAO Chang-jiang, OU Ming-hao, LOU Shu-yu. URBAN LAND SPATIAL OPTIMIZED ALLOCATION BASED ON THE IDEA OF NICHE FITNESS [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2017, 26(03): 376-383.
[2] TIAN Liu, CHEN Jiang-long, GAO Jing-long. RESEARCH OF COUPLING RELATIONSHIP OF URBAN SPATIAL STRUCTURECOMPACTNESS AND LAND USE EFFICIENCY: A CASE STUDY OF NANJING [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2017, 26(01): 26-34.
[3] DAI Liu-dong, ZHOU Rui, ZHANG Feng-e, WANG Xin-jun. EFFECTS OF URBAN LAND-USE ON RESIDENTS' COMMUTING CO2 EMISSION [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(Z1): 68-77.
[4] LI Huan, NING Yue-min, WEI Ye-hua, CHEN Fei-ran. SPATIAL DISTRIBUTION AND CORRELATION MECHANISM OF MEGALOPOLISES ON YANGTZE RIVER ECONOMIC BELT [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(12): 1797-1806.
[5] CHEN Chun, YU Li, ZHANG Rui-jie, SHEN Hao-jing. RESEARCH ON THE COORDINATION OF THE POPULATION URBANIZATION AND LAND URBANIZATION DURING THE MID STAGE OF RAPID URBANIZATION PERIOD IN CHINA [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(11): 1654-1662.
[6] LI Hua-yu, XU Lei, LI Fan, BING He, SHI Yong-qiang. ANALYSIS ON SPATIAL-TEMPORAL EVOLUTION AND DRIVING FACTORS OF RIVER VALLEY CITY IN SOUTHERN CHINA HILLY REGION: TAKING SHANGRAO URBAN AREA AS A CASE [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(11): 1720-1728.
[7] ZHAI Tian-lin, JIN Gui, DENG Xiang-zheng, LI Zhao-hua, WANG Run. RESEARCH OF WUHAN CITY LAND USE CLASSIFICATION METHOD BASED ON MULTI-SOURCE REMOTE SENSING IMAGE FUSION [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(10): 1594-1602.
[8] ZHOU Yan, ZHANG An-lu. A DYNAMIC RESEARCH ON THE CONTRIBUTION OF URBAN LAND EXPANSION TO ECONOMIC GROWTH IN WUHAN METROPOLITAN AREACOMPARISON BEFORE AND AFTER THE "RESOURCE-ECONOMICAL AND ENVIRONMENT-FRIENDLY SOCIETY" EXPERIMENTAL ZONE ESTABLISHMENT [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(07): 1043-1051.
[9] TANG Yun-kai, LIU Sheng-hua. Research on the correlation between urban land use types and PM2.5 concentrations in wuhan [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(09): 1458-1463.
[10] ZHANG Miao, CHEN Yin-rong, ZHOU Hao. Study on the relationship of the level of land intensive use and land use carbon emission based on panel data——a case study of central cities in hubei province from 1996 to 2010 [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(09): 1464-1470.
[11] WU Jie-xuan, CHEN Zhen-jie, LI Man-chun, JIANG Peng-hui, PIAN Yu-zhe. Research on spatial association rules of land use change based on the spatial adjacency relations [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(09): 1537-1544.
[12] LU Jian-cheng, ZHOU Lei, HONG Wu-yang, LI Man-chun, HUANG Qiu-hao. Zoning division research of urban land ecological suitability——a case study of wujin district,changzhou city [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(09): 1560-1567.
[13] CHEN Hui-guang, XIA Hong, XIAO Yi, LI Wei-wei. EVALUATION ON THE INTENSIVE USE OF RURAL CONSTRUCTION BASED ON GRAY RELATIVE ANALYSIS METHOD AND PRINCIPAL COMPONENT ANALYSIS [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(08): 1331-1336.
[14] SHU Tian-Meng, YANG Gui-Shan, SU Wei-Zhong, LI Jun-Feng. COMPREHENSIVE EVALUATION OF LAND INTENSIVE USE IN TOWNS OF XINGHUA [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2010, 19(01): 24-.
[15] WANG Yun-Cai, LIU Yue-Lai. RESEARCHES ON SPATIAL MODEL APPLICATION OF URBAN LANDSCAPE ECONETWORK PLANNING [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2009, 18(9): 819-.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] LI Chong-ming, HUANG Zhen-li. STUDY ON THE POLLUTANT LOADS INTO THREE GORGES RESERVOIR (Ⅱ)——POLLUTANT LOAD PREDICTIONS AFTER IMPOUNDMENT[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(1): 97 -106 .
[2] XIANG Bo,JI Changming,LAN Xiaofeng,LUO Qingsong . FIVE POINT ELEMENT SCHEME OF FINITE ANALYTIC METHOD FOR UNSTEADY GROUNDWATER FLOW[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(6): 721 .
[3] LIU Chuanjiang,ZHU Jinsong. STATUS OF THE CARRYING CAPACITY OF LAND RESOURCE AND COUNTERMEASURES FOR SUSTAINABLE DEVELOPMENT IN THE THREE GORGES RESERVOIR AREA[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(4): 522 .
[4] LI Jia, LI Siyue, TAN Xiang, ZHANG Quanfa. WATER QUALITY APPRAISAL ALONG THE WATER CONVEYANCE SYSTEM OF THE MIDDLE ROUTE OF THE SOUTH TO NORTH WATER TRANSFER PROJECT, CHINA[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(5): 693 .
[5] ZOU Limin, WANG Chao, FENG Shilong. POTENTIAL BIOLOGICAL TOXICITY ASSESSMENT ON HEAVY METAL POLLUTION IN SURFACE SEDIMENTS OF XUANWU LAK[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(2): 280 .
[6] XIAO Sisi, HUANG Xianjing, PENG Buzhuo, PU Lijie, CHEN Yi. ANALYSIS OF HEAVY METAL POLLUTION AND ASSESSMENT OF ITS ENVIRONMENTAL EFFECT IN DEVELOPED AREAS[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(5): 674 .
[7] CHEN Yi, HUANG Xianjin, PENG Buzhuo, PU Lijie, ZHANG Jian. CADMIUM ACCUMULATION IN SOILS FOR DIFFERENT LAND USES IN THE DEVELOPED AREAS: A CASE OF KUNSHAN CITY IN JIANGSU PROVINCE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(3): 391 .
[8] WEI Xianhu,DU Yun,CAI Shuming,XUE Huaiping,LIU Tao,. SPATIAL AND TEMPORAL CHANGE ANALYSIS OF SOIL EROSION FROM 1995 TO 2000 IN QINGJIANG RIVER BASIN,HUBEI PROVINCE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(Sup1): 120 -124 .
[9] YAO Shu-chun, XUE Bing, XIA Wei-lan. HUMAN IMPACT RECORDED IN THE SEDIMENT OF HONGHU LAKE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2005, 14(4): 475 -480 .
[10] LIN Jian-wei,WANG Li-ao,ZHAO Jian-fu,ZHANG Jun,YUAN Hui. EVALUATION OF HEAVY METAL POLLUTION DEGREE IN REFUSES IN THREE GORGES REGION[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2005, 14(1): 104 -108 .
Copyright © RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd