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| 珠江三角洲城市群工业生产空间格局、形态特征及影响因素 | |
| 引用本文： | 丁俊,王开泳.珠江三角洲城市群工业生产空间格局、形态特征及影响因素[J].地理科学进展,2016,35(5):610-621. |
| 作者姓名： | 丁俊 王开泳 |
| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京 100101 2. 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101 3. 中国科学院大学,北京 100049 |
| 基金项目： | 国家自然科学基金项目(41371178) |
| 摘 要： | GIS空间分析技术为空间形态的精准判别提供了新的路径和研究视角。本文通过高分辨率Google Earth影像提取2013年珠江三角洲城市群的工业生产空间分布信息,运用分形模型、形态紧凑度、空间离散度、密度指数定量分析珠三角工业生产空间的形态特征,采用GIS空间分析并结合社会经济统计分析进一步探讨了影响其分布的主要因素。结果表明：①2013年珠江三角洲城市群的工业生产空间共有2604.71 km2,其空间分布呈现典型的“核心—边缘”结构,并且形成了交错式、零散式和集中式3种分布模式。②珠江三角洲城市群的工业生产空间具有很强的分形特征,核心区的分形维数整体小于外围地区,而空间结构的稳定性高于外围地区;珠三角各市中,工业生产空间形态紧凑度最高的为珠海、最低的为广州,而空间离散度最高的为惠州、最低的为中山;珠三角各市工业生产空间的规模差异显著,与经济规模、人口规模、工业企业数等呈较强的正相关关系,而东莞、深圳、中山、佛山的密度指数过高,需加强工业生产空间的集约高效利用。③自然因素与交通条件、城镇化与开发区的发展、政策的引导和调控以及经济全球化是珠江三角洲城市群工业生产空间分布的主要影响因素。 |
| 关 键 词： | 工业生产空间 空间形态 空间格局 形态特征 珠江三角洲城市群 |
Spatial pattern and morphological characteristics of industrial production space and influential factors in the Pearl River Delta urban agglomeration |
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| Jun DING,Kaiyong WANG.Spatial pattern and morphological characteristics of industrial production space and influential factors in the Pearl River Delta urban agglomeration[J].Progress in Geography,2016,35(5):610-621. | |
| Authors: | Jun DING Kaiyong WANG |
| Institution: | 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China 2. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China 3. University of Chinese Academy of Sciences, Beijing 100049, China |
| Abstract: | GIS spatial analysis technology provides new path and research perspectives for accurately classifying spatial morphology. Extracting the industrial production space information of the Pearl River Delta region in 2013 through high resolution Google Earth image and summarizing the overall distribution pattern of the industrial production space, this study quantitatively analyzed the morphological characteristics of the industrial production space by introducing the fractal model, compact ratio, discrete degree, and density index, then analyzed the main influencing factors of industrial production space distribution by GIS spatial analysis and statistical analysis tools. The results show that: (1) The total area of industrial production space in the Pearl River Delta region in 2013 was 2604.71 km2. Its spatial distribution presents a typical core-peripheral structure. The industrial production spaces mainly distributed in the flat plain area and formed three spatial distribution models, that is, interlaced, scattered, and concentrated. (2) The industrial production space in the Pearl River Delta urban agglomeration showed clear fractal characteristics, and the fractal dimensions in the core area were smaller than that in the periphery area, but the stability of spatial structure in the core area was higher than that in the periphery area. Among the cities of the Pearl River Delta region, Zhuhai had the highest compact ratio of industrial production space, but Guangzhou had the lowest value; Huizhou had the highest discrete degree of industrial production space, whereas Zhongshan had the lowest value. The scale of each city’s industrial production space significant differed, and was positively correlated with economic scale, population, and the number of enterprises. The density index values of Dongguang, Shenzhen, Zhongshan, and Foshan were too high and these cities should promote efficient and intensive use of industrial production spaces. (3) On the basis of a comprehensive analysis, the article concludes that natural environment and traffic conditions, urbanization and economic development zone, policy guidance and regulation, and economic globalization were the main influencing factors of the distribution of industrial production space in the Pearl River Delta urban agglomeration. |
| Keywords: | industrial production space spatial morphology spatial pattern morphological characteristics Pearl River Delta urban agglomeration |
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