网络型物流企业需求分布的空间自相关分析——以中国铁路总公司省域铁路货运量为例

发布时间：2018-02-17 07:29

本文关键词： 空间计量经济学货运需求网络型物流企业铁路货运空间自相关　出处：《铁道科学与工程学报》2017年08期 　论文类型：期刊论文

【摘要】：为探测网络型物流企业需求分布的空间特征,用空间自相关的分析方法从全局与局域2个层面对中国铁路总公司在1999~2014年的省域铁路货运量分布的空间集聚性与异质性进行分析。研究结果表明:在整体上,我国铁路货运发送量呈现明显的空间自相关性,但这种集聚性随着时间的推移呈减弱的趋势。在局域上,铁路货运发送量在内蒙古、河北和黑龙江呈现出热点特征,即发送量高值在这些省份周围集聚;西藏、广东、广西和福建等省于不同时期呈现出一定铁路货运发送量的冷点特征,随着时间的推移,低值的集聚性呈减弱的趋势,说明以上省份周围区域的货运量发展逐渐均衡。
[Abstract]:In order to explore the spatial characteristics of demand distribution of network logistics enterprises, The spatial agglomeration and heterogeneity of provincial railway freight volume distribution in China Railway Corporation from 1999 to 2014 are analyzed from two aspects of global and local by using the spatial autocorrelation analysis method. The results show that: on the whole, the distribution of railway freight volume in China Railway Corporation from 1999 to 2014 is characterized by its spatial agglomeration and heterogeneity. The volume of railway freight transport in China shows obvious spatial autocorrelation, but this concentration tends to weaken with the passage of time. Locally, the volume of railway freight transport is characterized by hot spots in Inner Mongolia, Hebei and Heilongjiang. That is, the high value of the transport volume gathered around these provinces; the provinces of Tibet, Guangdong, Guangxi and Fujian showed a certain cold point characteristic of the railway freight transport volume in different periods, and with the passage of time, the concentration of the low value showed a trend of weakening. It shows that the development of freight volume in the area around the above provinces is gradually balanced.
【作者单位】：中南大学交通运输工程学院;
【基金】：中国铁路总公司科技研究开发计划课题(2013X008-A-1)
【分类号】：F532.6

【相似文献】