港口及港口城市作为21世纪海上丝绸之路的重要节点,在推动沿线国家发展中起着关键作用。基于Google Earth和Landsat遥感数据及集装箱吞吐量统计数据,采用GIS空间统计分析方法,分析21世纪海上丝绸之路沿线38个重要港口(不包括中国港口)面积的时空变化特征,并对相对集中指数(RCI)进行改进(引入城市建设用地面积作为城市发展的表征参量),评估沿线港口及港口城市的港城关系状况。研究发现:1)21世纪海上丝绸之路沿线重要港口面积区域化特征明显,港口面积整体呈"西部大东部小"的区域分布格局;2)港口面积变化(0.01~4.93 km2)及面积变化比例(0.01~5.07倍)分布情况均存在区域分异特征,各区域(东南亚、南亚、西亚、欧洲、非洲)港口面积变化差异较小,港口面积变化比例差异较大;3)港城关系状况存在明显的区域化特征,欧洲地区港口对城市的作用关系相对较强(2017年平均RCI约为2.98),亚洲地区港口对城市的作用关系相对较弱(2017年平均RCI约为1.51)。研究结果可为海外港口及港口城市腹地建设提供科学的参考依据。
As important nodes of the 21st-Century Maritime Silk Road, ports and port cities play the key role in promoting the development of countries along the road. Based on Google Earth and Landsat remote sensing data and the container throughput statistics, we adopt the spatial analysis method to analyze the temporal and spatial variation characteristics of 38 important ports in the countries (excluding China) along the 21st-Century Maritime Silk Road. Furthermore, we introduce the urban construction land area as a representative parameter of urban development to modify the relative concentration index (RCI), and evaluate the relationships between ports and port cities along the road. The results are shown as follows. 1) The areas of important ports along the 21st-Century Maritime Silk Road have obvious regional distribution patterns, showing the characteristic of "bigger in the west and smaller in the east". 2) The variation of the port area (0.01-4.93 km2) and the change proportion of the port area (1%-507%) have the characteristics of regional differentiation. In the different regions (Southeast Asia, South Asia, West Asia, Africa, and Europe), the differences in port area change are little, while the differences in port area change proportion are large. 3) The port-city relationships also have obvious regional features. The influences of European ports on the cities are relatively strong (average RCI is about 2.98 in 2017), and the role of the ports in Asia is relatively weak (average RCI is about 1.51 in 2017). The results provide scientific information for construction of ports and port hinterlands.
[1] 曾庆成,吴凯,滕藤.海上丝绸之路港口的空间分布特征研究[J].大连理工大学学报(社会科学版), 2016,37(1):25-30.
[2] 熊勇清,许智宏.海上丝绸之路上港口与港口城市的互动发展机制研究[J].财经理论与实践,2017,38(1):128-133.
[3] 姜丽丽,王士君,刘志虹.港口与城市规模关系的评价与比较:以辽宁省港口城市为例[J].地理科学, 2011,31(12):1468-1473.
[4] 朱俊,张利鸣,浦静姣,等.基于GIS的营口港总体规划生态环境影响分析[J].环境科学研究,2006,19(5):142-148.
[5] 牟乃夏,廖梦迪,张恒才,等."海上丝绸之路"沿线重要港口区位优势度评估[J].地球信息科学学报,2018, 20(5):613-622.
[6] 国家发展改革委,外交部,商务部.推动共建丝绸之路经济带和21世纪海上丝绸之路的愿景与行动[N]. 人民日报,2015-03-29(004).
[7] 陈琪,陆军,杨仝,等. 基于模型的遥感图像港口检测[J].信号处理, 2010, 26(6):941-945.
[8] 洪承礼.港口规划与布置[M].北京:人民交通出版社,1999:118.
[9] 韩理安.港口水工建筑物[M].北京:人民交通出版社,2000:1.
[10] 陈洪波.科学发展观与现代化港口城市建设[M].北京:经济科学出版社,2010:69.
[11] Vallega A. Fonctions portuaires et polarisations littorales dans la nouvelle régionalisation de la Méditerranée, quelques réflexions[Z]. The 2nd French-Japanese Geographical Colloquium, Tokyo, 1979:44-48.
[12] Ducruet C, Lee S W. Frontline soldiers of globalisation:port-city evolution and regional competition[J]. Geojournal, 2006, 67(2):107-122.
[13] 郭建科,杜小飞,孙才志,等.环渤海地区港口与城市关系的动态测度及驱动模式研究[J].地理研究,2015, 34(4):740-750.
[14] 刘珍环,王仰麟,彭建.不透水表面遥感监测及其应用研究进展[J].地理科学进展,2010,29(9):1143-1152.
[15] 吕利利,颉耀文,黄晓君,等.基于CART决策树分类的沙漠化信息提取方法研究[J].遥感技术与应用, 2017, 32(3):499-506.
[16] 孙建军,胡佳.欧亚三大港口物流发展模式的比较及其启示:以鹿特丹港、新加坡港、香港港为例[J].华东交通大学学报,2014(3):35-41.