铁道科学与工程学报2017，Vol.14Issue(8)：1765-1774,10.
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
Spatial autocorrelation analysis on demand distribution of networked logistics enterprise: a case study of provincial freight volume in China Railway Corporation
摘要
Abstract
In order to explore the spatial patterns of networked logistics enterprises' demand distribution, spatial autocorrelation analysis was used to investigate spatial clustering and heterogeneity of the provincial freight volume distribution in China Railway Corporation from 1999 to 2014. The results indicate that freight volume presents significant positive autocorrelation but the trend of clustering has weakened over time. From the local perspective, the Inner Mongolia, Hebei and Heilongjiang provinces present the features of hot-spot, which suggests high values of freight volume clustered around above provinces. Tibet, Guangdong, Guangxi, Fujian provinces present the features of cold-spot respectively during different periods. The clustering of the low values exhibits a downward trend over time, which demonstrates that freight volume in the surrounding areas of the above provinces gradually balanced.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Key words
spatial econometrics/freight demand/networked logistics enterprise/railway freight/spatial autocorrelation分类
交通工程引用本文复制引用
陈治亚,彭靖怡,蔡适,陈维亚,方晓平..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[J].铁道科学与工程学报,2017,14(8):1765-1774,10.基金项目
中国铁路总公司科技研究开发计划课题(2013X008-A-1) （2013X008-A-1）
