基于ESDA的西北地区公路网分布空间差异分析  

Spatial disparities of the distribution of highway network in northwest China based on exploratory spatial data analysis

作　　者：王建伟[1,2] 毛韬[1,2] 付鑫[1,2] 

机构地区：[1]长安大学经济与管理学院,陕西西安710064 [2]长安大学区域与城市运输经济研究所,陕西西安710064

出　　处：《干旱区地理》2013年第2期329-336,共8页Arid Land Geography

基　　金：教育部高等学校博士学科点专项科研基金(NO.20100205110006);教育部人文社科基金(NO.10YJA790184)

摘　　要：利用探索式空间数据分析(ESDA)方法分析了2004-2010年西北地区市域尺度的公路网空间分布差异及其变化特征,并结合定性分析和空间计量模型探讨了公路分布差异的驱动机制。结果表明(:1)西北地区公路网空间分布具有显著的全局正相关关系,存在明显的集聚特征,公路网空间差异趋势愈加明显,公路网集聚模式发生明显变化的区域集中在陕甘宁交界地带,"陕南-关中-陇东-青东"地区形成公路网"高-高"集聚类型分布的连绵区域,"低-低"集聚类型区域分布在河西走廊、新疆、青海地区;(2)公路网密度水平高于全国平均水平的区域规模数量呈增长态势,其中"西安-兰州-西宁"地区的公路网密度水平高于全国平均水平,该地区已形成具备向外扩张能力的交通带;(3)自然环境状况是约束公路交通基础设施建设运营的基本条件,而区域经济的非均衡发展格局及其空间溢出效应是形成公路网分布差异的重要驱动力。Impacted by the coupling action among various factors such as resources, natural environment, social environment, technical conditions and so on, the imbalance is existed in the socioeconomic development across the regions in northwest China, especially in the regional differences of transportation development. Based on the Ex ploratory Spatial Data Analysis （ESDA）, this paper takes 51 cities （districtS） of northwest China as an example to analyze the spatial disparities of the highway network as well as its correlation during the of period 2004-2010. Firstly, this paper selects the absolute density of each district＇s highway network per year as the evaluate index, and calculates the global spatial autocorrelation coefficient （Moran＇s I Index） and the local indicators of spatial associa tion （LISA） based on the spatial weight matrix. The calculate result of Moran＇ s I shows that the density of highway network in northwest China has a significant and growing global spatial autocorrelation characteristic, regional dis parities trend of highway network is more and more obvious. Besides, the LISA directly shows that the region belongs to the highway network density ＂highhigh＂ assemble type and the regions of ＂lowlow＂ assemble pattern, has both expanded in different degree during the period of 2004- 2010. The interlocking region contains southern Shaanxi, Guanzhong area, eastern Gansu and southern Ningxia, is distributed as the highway network density ＂highhigh＂ as semble type, while the ＂lowlow ＂assemble type Thirdly, this paper takes the ratio of each district＇s area are mostly located in the Hexi Corridor, Xinjiang, Qinghai highway network density to the national average density as a mea sure index in analysis of the highway network development level. The result manifests that the highway network level of＂Xi＇ anLanzhouXining＂is now higher than the national average level, the region＇s outward diffusion ability has enhanced and it has formed a traffic belt by a stimulat

关 键 词：公路网 空间分布 探索式空间数据分析 驱动机制 西北地区 

分 类 号：U412.1[交通运输工程—道路与铁道工程]