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作 者:胡坤[1] 戚梦瑜 HU Kun QI Meng-yu(Teachers Education College, Ningbo University, Ningbo 315211, China Business School, Ningbo University, Ningbo 315211, China)
机构地区:[1]宁波大学教师教育学院,浙江宁波315211 [2]宁波大学商学院,浙江宁波315211
出 处:《科技与管理》2017年第2期44-50,共7页Science-Technology and Management
摘 要:以长三角地区18个主要港口为研究对象,利用GIS的空间统计分析功能研究主要货种吞吐量的空间演变特征。结果表明:在全局上,集装箱吞吐量存在不显著的空间分散趋势,金属矿石和煤炭及制品吞吐量存在不显著的空间集聚的趋势,而石油及制品和矿建材料吞吐量存在显著的空间集聚的趋势。在局部上,集装箱吞吐量在上海港高-低集聚,煤炭及制品、矿建材料吞吐量在上海港高-高集聚,金属矿石吞吐量在舟山港高-高集聚,石油及制品吞吐量在舟山港、宁波港高-高集聚。This paper considered the 18 principal ports in Yangtze River Delta as the research object, using spatial statistical analysis of GIS to study the spatial evolution characteristics of main cargo throughput. From the global perspective, there is insignificant feature of spatial negative correlation for container throughput, there are significant features of spatial positive correlation for the throughput of metal ore and coal and products, and there are signifi- cant features of spatial positive correlation for the throughput of oil and products and the construction materials. From the local perspective, container throughput is high-low clusters in Shanghai port. Coal and products and con- struction materials is high-high cluster in Shanghai port. Metal ore throughput is high-high clusters in Zhoushan port. Oil and products throughput is high-high clusters in Zhoushan port and Ningbo port.
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