河南省物流业空间格局——基于百度地图和面板数据

程秀娟, 李晶晶, 杨洁辉, 苗长虹

人文地理 ›› 2018, Vol. 33 ›› Issue (5) : 114-122.

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人文地理 ›› 2018, Vol. 33 ›› Issue (5) : 114-122. DOI: 10.13959/j.issn.1003-2398.2018.05.014
区域

河南省物流业空间格局——基于百度地图和面板数据

  • 程秀娟1, 李晶晶2, 杨洁辉2,3, 苗长虹2
作者信息 +

SPATIAL PATTERNS OF HENAN LOGISTICS INDUSTRY BASED ON A GEOGRAPHIC ANALYSIS OF BAIDU MAPS AND PANEL DATA

  • CHENG Xiu-juan1, LI Jing-jing2, YANG Jie-hui2,3, MIAO Chang-hong2
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文章历史 +

摘要

利用百度在线地图和统计面板数据构建物流热度数据和物流热度关联指数,以此探究河南省物流业不同尺度上的空间格局。结果表明:①地级市尺度上,经测算2005-2015年间物流业重心及其移动距离,发现河南省物流业经历了豫东平稳发展、豫西快速发展和区域协调发展三个阶段,以郑州为核心区带状集聚分布。②县级尺度上,河南省物流业呈现以郑州为发展核心以陇海铁路沿线为发展主轴的"点-轴"空间格局,"点-轴"区域之间存在较弱的正向空间自相关,即区域内部空间关联程度偏弱。最后,结合区位交通条件、社会经济环境、政策制度导向分析空间格局的影响因素,并从优化制度、社会经济环境等方面提出建议,为物流业的顶层设计和空间规划提供参考。

Abstract

From a traditional large agricultural province to an emerging industrial province, to the construction of a large logistics province, the logistics industry has become an important force to promote the economic development of Henan Province. However, along with the unbalanced development of regional economy and the policy tilt of the logistics industry, its spatial differentiation is also quite significant. Based on the concept of "logistics hotness degree", in August 2017, we obtained sample data of logistics hotness degree at the county level, using online data search and acquisition technology offered by Baidu Maps. We use the mean square method to determine the index weights, and choose three indicators including Logistics Industry Added Value, Freight Traffic, and Freight Ton-Kilometers to construct the logistics hotness degree index, which is complementary to sample data of logistics hotness degree at the prefecture level cities. Distribution of Henan logistics industry is analyzed based on the data above. The results of this research may provide some guidance to make spatial planning for logistics industry policy and logistics companies.

关键词

物流热度 / 空间格局 / 物流业 / 河南省

Key words

logistics hotness degree / spatial pattern / logistics / Henan province

引用本文

导出引用
程秀娟, 李晶晶, 杨洁辉, 苗长虹. 河南省物流业空间格局——基于百度地图和面板数据[J]. 人文地理. 2018, 33(5): 114-122 https://doi.org/10.13959/j.issn.1003-2398.2018.05.014
CHENG Xiu-juan, LI Jing-jing, YANG Jie-hui, MIAO Chang-hong. SPATIAL PATTERNS OF HENAN LOGISTICS INDUSTRY BASED ON A GEOGRAPHIC ANALYSIS OF BAIDU MAPS AND PANEL DATA[J]. HUMAN GEOGRAPHY. 2018, 33(5): 114-122 https://doi.org/10.13959/j.issn.1003-2398.2018.05.014
中图分类号: K902   

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基金

河南省政府决策研究招标课题(2017B151);河南省软科学研究项目(182400410055);河南大学研究生优秀学位论文培育计划(Y1515005)

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