摘要
物流产业空间集聚规模和形态是地方物流规划和政策制定的客观条件和依据。在浙江省成为新时代“重要窗口”的背景下,为探究物流发展在浙江省内的空间集聚特征,以期为其物流发展提供决策依据,对传统数据分析在数据处理时存在时间滞后和数据结构化等缺陷,采用精度高、时效性优、可直接研究样本数据本身的POI矢量数据,运用区位商分析、核密度估计法、缓冲区分析和空间自相关分析等方法,对浙江省物流产业空间集聚特征进行分析。研究结果表明:浙江省物流产业呈现明显的集聚特征,在地理位置上集中于东部沿海与北部靠近长三角城市群区域,其中宁波市和舟山市呈现高-高集聚特征,并随着时间推移省内物流空间分异性更加明显,物流节点与企业主要集中于宁波舟山港、杭州空港和金华国际公港,体现了海港、空港和公路港优势对物流企业的集聚效应;物流空间区位分布表现出层级性和不均衡性,物流区位选择呈现郊区化和多样化特征;基于POI的空间相关性研究减少了对连续性物流活动的人为划分引起的空间模式变化问题,更符合物流活动的分布特征,能更好地反应产业集聚规模与形态。
The spatial agglomeration scale and form of the logistics industry are the objective conditions and basis for local logistics planning and policy formulation.Under the background that Zhejiang Province has become an“important window”in the new era,in order to explore the spatial agglomeration characteristics of logistics development in Zhejiang Province and provide a decision-making basis for its logistics development,traditional data analysis shows time lag and data structure in data processing.The POI vector data with high accuracy,excellent timeliness,and direct study of the sample data itself were used in combination with location quotient analysis,nuclear density estimation,buffer analysis,spatial autocorrelation analysis and other methods to analyze the logistics industry space in Zhejiang Province.The features were agglomerated for analysis.The results show that the logistics industry in Zhejiang Province shows obvious agglomeration characteristics,which are geographically concentrated in the eastern coastal and northern areas close to the Yangtze River Delta urban agglomeration.Among them,Ningbo and Zhoushan have high-high agglomeration characteristics,and the spatial differentiation of logistics is more obvious over time within the province.The logistics nodes and enterprises are mainly concentrated in Ningbo Zhoushan Port,Hangzhou Airport and Jinhua International Public Port,reflecting the agglomeration effect of the advantages of seaport,airport and highway port on logistics enterprises.The distribution of logistics space shows hierarchical.The choice of logistics location exhibits the characteristics of suburbanization and diversification.The spatial correlation research based on POI reduces the problem of spatial pattern changes caused by the artificial division of continuous logistics activities,and is more in line with the distribution characteristics of logistics activities.
作者
陈治亚
周于轶
CHEN Zhiya;ZHOU Yuyi(School of Traffic and Transportation,Central South University,Changsha 410075,China;Rail Data Research and Application Key Laboratory of Hunan Province,Changsha 410075,China)
出处
《铁道科学与工程学报》
EI
CAS
CSCD
北大核心
2022年第10期2862-2872,共11页
Journal of Railway Science and Engineering
基金
国家重点研发计划资助项目(2017YFB1201301)。
关键词
物流节点
物流企业
集聚特征
空间分异
POI
logistics node
logistics enterprise
agglomeration characteristics
spatial differentiation
POI
