地理区位视角下空间贫困研究  

Research on Spatial Poverty from the Perspective ofGeographic Location

作　　者：杨振 董春 YANG Zhen;DONG Chun(School of Geomatics,Liaoning Technical University,Fuxin 123000,China;Chinese Academy of Surveying&Mapping,Beijing 100036,China)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000 [2]中国测绘科学研究院,北京100036

出　　处：《测绘与空间地理信息》2023年第6期21-24,28,共5页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金(71773117);国家社会科学基金重大项目(18ZDA066);国家社会科学基金一般项目(19BTJ019);自然资源综合分析关键技术与作业平台研制(AR2122)资助。

摘　　要：针对贫困地区具有明显的空间特征,但相关研究未予足够重视的问题,本文从交通便利性、设施完备性、地形复杂性3个维度出发,建立了由12个因子组成的空间贫困评价指标体系,采用熵权-变异确权法与TOPSIS模型对区域空间贫困进行分级评价,再通过障碍度模型讨论导致空间贫困的主要影响因子,并以广东省粤北27个县(市)为例进行实证研究。结果显示:1)粤北县域空间贫困呈现出北优南劣的特点。2)导致粤北县域空间贫困的主要影响因子分别属于交通便利性和设施完备性指标,这表明相较地形因素而言,其他2个维度因素的影响程度更高。本研究丰富了空间贫困研究的内容,为空间贫困研究提供了新的思路。Aiming at the problems that poor areas have obvious spatial characteristics,but related research has not paid enough attention.This article starts from the three dimensions of transportation convenience,completeness of facilities and terrain complexity,and establishes a spatial poverty evaluation index system composed of 12 factors.Adopt the Entropy-mutation method and the TOPSIS model to classify and evaluate the regional spatial poverty,then discuss the main influencing factors leading to spatial poverty through the Obstacle Degree model,and 27 counties(cities)in north Guangdong province are taken as examples to conduct empirical research.The results show:1)The spatial poverty of counties in northern Guangdong presents the characteristics of superiority in the north and inferiority in the south.2)The main influencing factors leading to the spatial poverty of counties in northern Guangdong belong to the indicators of traffic convenience and facility completeness,which indicates that the other two dimensions have a higher degree of influence than topographic factors.This research enriches the content of spatial poverty research and provides new ideas for spatial poverty research.

关 键 词：空间贫困 熵权-变异确权法 TOPSIS模型 障碍度模型 

分 类 号：P208[天文地球—地图制图学与地理信息工程]