区域建设用地开发强度格局演化及影响因素分析
——以陕西省为例

doi:10.12118/j.issn.1000-6060.2020.06.25

干旱区地理 ›› 2020, Vol. 43 ›› Issue (6): 1635-1647.doi: 10.12118/j.issn.1000-6060.2020.06.25

区域建设用地开发强度格局演化及影响因素分析 ——以陕西省为例

王博 ¹，黄晓军 ^1,2,3,4，刘萌萌 ¹

1 西北大学城市与环境学院，陕西西安 710127；2 陕西省地表系统与环境承载力重点实验室，陕西西安 710127；3 陕西省黄河研究院，陕西西安 710127；4 陕西西安城市生态系统定位观测研究站，陕西西安 710127

收稿日期:2019-12-01 修回日期:2020-05-12 出版日期:2020-11-25 发布日期:2020-11-25
通讯作者: 黄晓军（1983-），男，黑龙江哈尔滨人，副教授，博士生导师，主要研究方向为人地系统脆弱性与恢复力.
作者简介:王博（1995-），男，湖北武汉人，硕士生，主要研究方向为土地利用与城市热岛. E-mail: wb4538@126.com.
基金资助:
国家自然科学基金项目（41971178）；陕西省地表系统与环境承载力重点实验室开放基金项目（SKLESS201807）

Pattern evolution and influencing factors of regional construction land development intensity：A case of Shaanxi Province

WANG Bo¹, HUANG Xiao-jun^{1, 2, 3, 4}, LIU Meng-meng¹

1 College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, Shaanxi, China; 2 Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi’an 710127, Shaanxi, China; 3 Shaanxi Yellow River Research Institute, Xi’an 710127, Shaanxi, China; 4 Shaanxi Xi’an Urban Forest Ecosystem Research Station, Xi’an 710127, Shaanxi, China

Received:2019-12-01 Revised:2020-05-12 Online:2020-11-25 Published:2020-11-25

摘要/Abstract

摘要： 区域建设用地开发强度是揭示土地利用效率、社会经济发展水平与国土空间开发状态的重要指标，对其变化进行监测与管治是优化国土空间开发格局，实现区域可持续发展的重要手段。构建建设用地开发强度量化模型，以陕西省为例，计算 2000—2015 年县域建设用地开发强度指数，利用空间自相关分析方法揭示其空间格局和演化特征，并采用最小二乘法（OLS）和地理加权回归（GWR）模型识别建设用地开发强度格局演化的影响因素。结果表明：（1）2000—2015 年陕西省建设用地开发强度总体呈现增长态势，内部空间分异显著，高强度区集中在榆林、延安、西安、安康等地，低强度区集中在咸阳、宝鸡、铜川、商洛、渭南、汉中等地。（2）陕西省建设用地开发强度呈现出明显的空间集聚状态，热点区稳定分布在西安市辖区及周边区县，冷点区分布在延安南部、咸阳、铜川、渭南和汉中等部分区域；县域建设用地开发强度逐步提升的同时，区域开发不平衡现象日益突显。（3）固定资产投资、居民消费水平、财政投入力度、耕地资源和地形条件是影响陕西省建设用地开发强度空间分异的主要因素，但在不同县域其影响程度大小具有显著差异，且个别因素的影响具有不稳定性。

关键词: 建设用地, 开发强度, 格局, 影响因素, 陕西省

Abstract: The development intensity of regional construction land is an important index to reveal the level of land use, the development of social economy, and the evolution of land spatial pattern. Monitoring and controlling the construction land development intensity can optimize the pattern of land spatial development and realize regional sustainable development. Shaanxi Province is located in the northwest of China, which can be divided into three regions according to its natural geographical characteristics: Loess Plateau, Guanzhong Plain, and Qinling-Daba mountain area. In recent years, there are many problems in the development and utilization of land resources in Shaanxi Province, such as the disordered expansion and extensive utilization of construction land, the idling of rural residential land, the overload of resources and environment in ecologically fragile areas, and the serious soil erosion and environmental pollution caused by overdevelopment. Therefore, this paper scientifically evaluates pattern evolution and influencing factors of construction land development intensity in counties of Shaanxi Province. At the same time, it effectively discriminates the overdevelopment zone and underdevelopment zone in the city. Both of them will have important practical significance for the orderly development and rational utilization of regional construction land. First, based on the land use remote sensing monitoring data and socio-economic statistical data, this paper selects the proportion of construction land (CLP), population carrying capacity (PCS), and economic development intensity (EDI) to calculate the construction land development intensity of counties in Shaanxi Province from 2000 to 2015. A spatial autocorrelation method is then used to reveal its spatial pattern and evolution characteristics. Finally, OLS and GWR models are used to identify the influencing factors of the pattern evolution of construction land development intensity. The results are shown as follows: (1) From 2000 to 2015, the construction land development intensity in Shaanxi Province showed an overall growth trend, but the internal space was significantly different. High-intensity areas were concentrated in the counties of Yulin, Yan’an, Xi’an, and Ankang, while low-intensity areas are concentrated in the counties of Xianyang, Baoji, Tongchuan, Shangluo, Weinan, and Hanzhong. (2) The construction land development intensity shows obvious spatial agglomeration state. Hot spots are stably distributed in Xi’an and surrounding counties, while cold spots are distributed in southern Yan’an, Xianyang, Tongchuan, Weinan, and Hanzhong. The imbalance of regional development is becoming more and more prominent as the construction land development intensity is gradually increasing. (3) Fixed asset investment, household consumption level, financial input, cultivated land resources and topographical conditions are the main factors affecting the spatial differentiation of construction land development intensity in Shaanxi Province. However, the degree of impact varies significantly in different counties, and the impact of individual factors exhibits instability. In addition, the innovation of this paper lies in the following: (1) With the help of remote sensing monitoring data of land use to carry out the long- term evaluation of construction land development intensity of counties, we make up for the deficiency of meso scale research; (2) From the perspective of factors affecting development intensity, OLS and GWR models are used to analyze the spatial heterogeneity of influencing factors, which enriches the research method.

Key words: construction land, development intensity, pattern, influencing factors, Shaanxi Province

王博, 黄晓军, 刘萌萌 . 区域建设用地开发强度格局演化及影响因素分析 ——以陕西省为例[J]. 干旱区地理, 2020, 43(6): 1635-1647.

WANG Bo, HUANG Xiao-jun, LIU Meng-meng. Pattern evolution and influencing factors of regional construction land development intensity：A case of Shaanxi Province[J]. Arid Land Geography, 2020, 43(6): 1635-1647.

参考文献 28

[1]	吕晓, 黄贤金. 建设用地扩张的研究进展及展望[J]. 地理与地理信息科学, 2013(6): 55- 62. [LYU Xiao, HUANG Xianjin. Re⁃ search progress and prospect of construction land expansion[J]. Geography and Geo-Information Science, 2013, (6): 55-62. ]
[2]	王宏亮, 郝晋珉, 高艺宁. 基于 AHP-TOPSIS 模型的建设用地利用强度评价及灰色关联分析: 以内蒙古为例[J]. 北京师范大学学报 ( 自然科学版), 2018, 54(3): 277- 283. [WANG Hongliang, HAO Jinmin, GAO Yiling. Evaluation and correlation analysis of construction land use intensity in Inner Mongolia by AHP- TOPS [J]. Journal of Beijing Normal University (Natural Science), 2018, 54(3): 277-283. ]
[3]	刘冬荣, 彭佳捷, 吕焕哲, 等. 区域建设用地开发强度时空格局分析 —— 以湖南省为例 [J]. 中国国土资源经济, 2016, 29(7): 53-59. [LIU Dongrong, PENG Jiajie, LYU Huanzhe, et al. Analy⁃ sis of spatio- temporal layout with regard to development intensity of regional land for construction purposes: Taking Hunan as an ex⁃ ample[J]. Natural Resource Economics of China, 2016, 29(7): 53- 59. ]
[4]	HUANG X, HUANG X J, LIU M M, et al. Spatial-temporal dynam⁃ ics and driving forces of land development intensity in the western China from 2000 to 2015[J]. Chinese Geographical Science, 2020, 30(1): 16-29．
[5]	赵亚莉, 刘友兆. 城市土地开发强度差异及影响因素研究—— 基于 222 个地级及以上城市面板数据[J]. 资源科学, 2013, 35 (2): 380-387. [ZHAO Yali, LIU Youzhao. Diffidence and influenc⁃ ing factors of urban land development intensity across 222 cities in China[J]. Resources Science, 2013, 35(2): 380-387. ]
[6]	张鹏, 张栩嘉, 刘勇, 等. 基于土地开发强度的长春市城市空间效率分异研究 [J]. 地理科学, 2018, 38(6): 895- 902. [ZHANG Peng, ZHANG Xujia, LIU Yong, et al. Diversity of urban spatial efficiency based on the land development intensity in Changchun City[J]. Scientia Geographica Sinica, 2018, 38(6): 895-902. ]
[7]	王忠诚, 李金莲. 中心城区土地开发强度研究[J]. 江苏城市规划, 2008, (12): 17- 21. [WANG Zhongcheng, LI Jinlian. Study on the intensity of land development in the central city[J]. Jiangsu Ur⁃ ban Planning, 2008, (12): 17-21. ]
[8]	张苗, 甘臣林, 陈银蓉, 等. 中国城市建设用地开发强度的碳排放效率分析与低碳优化[J]. 资源科学, 2016, 38(2): 265-275． [ZHANG Miao, GAN Chenlin, CHEN Yinrong. Carbon emission efficiency and optimization of low carbon for construction land de⁃ velopment intensity in China according to provincial panel data[J]. Resources Science, 2016, 38(2): 265-275. ]
[9]	XU Y, TANG H, WANG B, et al. Effects of land-use intensity on ecosystem services and human well-being: A case study in Huailai County, China[J]. Environmental Earth Sciences, 2016, 75(5): 416.1-416.11.
[10]	王昊宇. 新疆建设用地开发强度与生态环境容量匹配度评价研究 [D]. 乌鲁木齐: 新疆农业大学, 2016. [WANG Haoyu. The study on evaluation of matching degree between construction land development strength and ecological environment capacity in Xin⁃ jiang[D]. Urumqi: Xinjiang Agricultural University, 2016. ]
[11]	VAČKÁŘ D, ORLITOVÁ E. Spatial relationship between human population density, land use intensity and biodiversity in the Czech Republic[J]. Landscape Ecology, 2012, 27(9): 1279-1290.
[12]	MACCHI L, GRAU H R, ZELAYA P V, et al. Trade-offs between land use intensity and avian biodiversity in the dry Chaco of Ar⁃ gentina: A tale of two gradients[J]. Agriculture Ecosystems & Envi⁃ ronment, 2013, 174(174): 11-20.
[13]	刘艳军, 刘静, 何翠, 等. 中国区域开发强度与资源环境水平的耦合关系演化[J]. 地理研究, 2013, 32(3): 507-517. [LIU Yan⁃ jun, LIU Jing, HE Cui, et al. Evolution of the coupling relationship between regional development strength and resource environment level in China[J]. Geographical Research, 2013, 32(3): 507-517. ]
[14]	沈春竹, 谭琦川, 王丹阳, 等. 基于资源环境承载力与开发建设适宜性的国土开发强度研究——以江苏省为例[J]. 长江流域资源与环境, 2019, 28(6): 1276-1286. [SHEN Chunzhu, TAN Qi⁃ chuan, WANG Danyang, et al. Research on land development intensi⁃ ty based on carrying capacity of resources and environment and suitability of development and construction: A case study of Jiang⁃ su[J]. Resources and Environment in the Yangtze Basin, 2019, 28 (6): 1276-1286. ]
[15]	卫思夷, 居祥, 荀文会. 区域国土开发强度与资源环境承载力时空耦合关系研究——以沈阳经济区为例[J]. 中国土地科学, 2018, 32(7): 58- 65. [WEI Siyi, JU Xiang, XUN Wenhui. Spatial- temporal coupling relationship between land development intensi⁃ ty and carrying capacity of regional resources and environment: A case study in Shenyang economic region[J]. China Land Science, 2018, 32(7): 58-65. ]
[16]	卞凤鸣, 刘彦彤, 赵玲. 吉林省土地利用空间均衡度评价研究 [J]. 中国土地科学, 2015, 29(12): 74-80. [BIAN Fengming, LIU Yantong, ZHAO Ling. The spatial balance degree evaluation on land use in Jilin Province[J]. China Land Science, 2015, 29(12): 74-80. ]
[17]	王全喜, 孙鹏举, 刘学录, 等. 甘肃省土地利用空间协调度时空分异及态势分析 [J]. 干旱区地理, 2020, 43(1): 271- 279． [WANG Quanxi, SUN Pengju, LIU Xuelu, et, al. Spatial-temporal differentiation and situation of spatial coordinationdegree on land use in Gansu Province[J]. Arid Land Geography, 2020, 43(1): 271- 279. ]
[18]	张竞珂, 陈逸, 黄贤金. 长江经济带土地开发均衡度及限度评价研究[J]. 长江流域资源与环境, 2017, 26(12): 1945-1953. [ZHANG Jingke, CHEN Yi, HUANG Xianjin. Assessment of the equilibrium degree and limitation degree of Yangtze River eco⁃ nomic belt’s land development[J]. Resources and Environment in the Yangtze Basin, 2017, 26(12): 1945-1953. ]
[19]	谭术魁, 刘琦, 李雅楠. 中国土地利用空间均衡度时空特征分析 [J]. 中国土地科学, 2017, 31(11): 40-46. [TAN Shukui, LIU Qi, LI Yanan. Spatial- temporal characteristics of spatial balance de⁃ grees on land use in China[J]. China Land Science, 2017, 31(11): 40-46. ]
[20]	刘艳军, 于会胜, 刘德刚, 等. 东北地区建设用地开发强度格局演变的空间分异机制[J]. 地理学报, 2018, 73(5): 818-831. [LIU Yanjun, YU Huisheng, LIU Degang, et al. Spatial differentiation mechanisms of the pattern evolution of construction land develop⁃ ment intensity in northeast China[J]. Acta Geographica Sinica, 2018, 73(5): 818-831. ]
[21]	杨清可, 段学军, 李平星, 等. 江苏省土地开发度与利用效益的空间特征及协调分析[J]. 地理科学, 2017, 37(11): 1696-1704. [YANG Qingke, DUAN Xuejun, LI Pingxing, et al. The spatial pat⁃ tern and coordination analysis between degree of land develop⁃ ment and use benefit in Jiangsu[J]. Scientia Geographica Sinica, 2017, 37(11): 1696-1704. ]
[22]	陈逸, 黄贤金, 陈志刚, 等. 中国各省域建设用地开发空间均衡度评价研究[J]. 地理科学, 2012, 32(12): 1424-1429. [CHEN Yi, HUANG Xianjin, CHEN Zhigang, et al. The spatial balance de⁃ gree evaluation of construction land in China[J]. Scientia Geo⁃ graphica Sinica, 2012, 32(12): 1424-1429. ]
[23]	王晶, 肖海峰. 耕地生态安全视域下棉花生产布局优化问题研究 —— 以新疆为例 [J]. 干旱区地理, 2018, 41(4): 833- 843. [WANG Jing, XIAO Haifeng. Optimization of the distribution of cotton production in Xinjiang under the view of cultivated land ecological security[J]. Arid Land Geography, 2018, 41(4): 833- 843. ]
[24]	金贵, 邓祥征, 陈冬冬, 等. 黄淮海平原农地流转空间分布与格局特征[J]. 资源科学, 2016, 38(8): 1515-1524. [JIN Gui, DENG Xiangzheng, CHEN Dongdong, et al. Trends and spatial patterns of land conversions in the north China Plain[J]. Resources Sci⁃ ence, 2016, 38(8): 1515-1524. ]
[25]	许紫峻, 汪溪远, 师庆东, 等. 基于空间统计理论的新疆各地州经济林营养物质积累空间关系特征分析及应用[J]. 干旱区地理, 2017, 40(6): 1227-1234. [XU Zijun, WANG Xiyuan, SHI Qin⁃ gdong, et al. Analysis and application of spatial relationship of nu⁃ trient accumulation ineconomic forests in Xinjiang based on spa⁃ tial statistical theory[J]. Arid Land Geography, 2017, 40(6): 1227- 1234. ]
[26]	王茜茜, 申晓燕, 徐建斌, 等. 环渤海地区客货运量及其影响因子的空间相关性分析 [J]. 经济地理, 2018, 38(2): 133- 139. [WANG Xixi, SHEN Xiaoyan, XU Jianbin, et al. Spatial correla⁃ tion analysis of the influencing factors and the relationship be⁃ tween passenger volume and cargo volume in the Bohai Rim[J]． Economic Geography, 2018, 38(2): 133-139. ]
[27]	曹小曙, 徐建斌. 中国省际边界区县域经济格局及影响因素的空间异质性 [J]. 地理学报, 2018, 73(6): 81- 91. [CAO Xiaoshu, XU Jianbin. Spatial heterogeneity analysis of regional economic development and driving factors in China’s provincial border coun⁃ ties[J]. Acta Geographica Sinica, 2018, 73(6): 81-91. ]
[28]	王宏亮. 城镇化背景下建设用地利用强度研究[D]. 北京: 中国农业大学, 2017. [WANG Hongliang. Research on construction land use intensity in urbanization: A case study in Inner Mongolia [D]. Beijing: China Agricultural University, 2017. ]

区域建设用地开发强度格局演化及影响因素分析 ——以陕西省为例

Pattern evolution and influencing factors of regional construction land development intensity：A case of Shaanxi Province

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