机构地区:[1]西南交通大学交通运输与物流学院,成都610031 [2]中国科学院地理科学与资源研究所,北京100101
出 处:《地理科学进展》2015年第5期629-637,共9页Progress in Geography
基 金:国家自然科学基金项目(41171107);中央高校基本科研业务费专项资金项目(2682014CX102;2682013BR020);四川省软科学研究计划项目(2014ZR0065;2014ZR0032)
摘 要:物流业空间格局是以物流设施为核心的物流实体网络和以物流企业为核心的物流组织网络在地表空间形态及结构。为研究中国物流业空间格局的现状及演变趋势,2014年8月利用百度在线地图搜索与数据采集技术,获取了中国大陆31个省级行政单位的80507个物流热度数据样本。通过物流热度与相关指标间的回归分析,构建了物流热度的理论计算公式,验证物流热度数据的有效性和合理性。从地级市、省域、城市群、经济区尺度,刻画和分析物流服务能力与水平、辐射范围的差异所形成的空间格局,探究经济发展水平、物流园区建设对物流业空间格局演变的影响,提出基于物流热度的物流中心城市。研究表明:物流热度与地区生产总值、交通运输、仓储及邮政业法人单位数呈正相关;经济发展整体水平越高的城市群地区,物流业一体化程度越高;物流设施和物流企业的布局具有显著的产业性需求与交通区位指向特征,并逐步表现出消费性需求与人口指向特征;东部沿海地区呈现"单主中心+多副中心"、"多主中心+多副中心"的空间格局,中西部地区呈现"单中心"的空间格局,地区差异显著。研究结果有助于物流业规划及物流政策的制定。Spatial patterns of logistics industry is formed by the spatial distribution and structure of logistics facilities and enterprises. In order to examine the current situation and change of spatial patterns of logistics industry in China, we put forward the concepts of 'logistics hotness degree ' and 'primacy index of cities.' In August 2014, we obtained 80507 samples of logistics hotness degree data at the prefecture level or above in China based on 'logistics' key word search using Baidu maps(excluding Hong Kong, Macao, and Taiwan).Through establishing an index of logistics hotness degree, the correlation between logistics hotness degree and indicators were analyzed. This article presents the construction of the logistics hotness degree index and demonstrates the effectiveness and validity of Internet- based data on logistics industry. Spatial patterns of logistics industry are analyzed in terms of capacity, level of service, and spatial influence at the prefecture,provincial, metropolitan area, and economic zone scales. We explored the impact of economic development and logistics park construction on the evolution of the spatial patterns of logistics industry. Logistics centers were identified and compared to the national and regional logistics hub cities designated in the 'Logistics Industry Restructuring and Revitalization Plan' issued by the State Council and the 'National Logistics Park Development Planning' issued by the National Development and Reform Commission and 11 other ministries.Some conclusions can be drawn as follows: the logistics hotness degree information is a comprehensive representation of logistics facilities and logistics enterprises.It is highly correlated with GDP, number of primary industry corporation units in transportation, warehousing, and postal services. Economic development level is highly correlated with logistics industry development. The spatial layout of logistics facilities and enterprises is significant correlated with industrial demand and their locations in the transport s
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