地理空间信息2024，Vol.22Issue(8)：7-11,67,6.DOI:10.3969/j.issn.1672-4623.2024.08.002
基于矩阵特征分解的中原经济区高铁发展分析
Development Analysis of High-speed Rail in the Central Plains Economic Region Based on Matrix Eigendecomposition Method
摘要
Abstract
In the study of employing location-based spatial accessibility(LBSA)methods,accessibility indices cannot be calculated for those locations where some missing values exist in the cost matrix.Aiming at the mentioned above problem,we used the matrix eigendecomposition(ME)to replace LBSA in the current study.Taking the central plains economic region(CPER)in China as the study area,we obtained the travel time cost matrices derived from the 12306 website and the online map-based services,transformed it into spatial weights matrices(SWM),and analyzed and evaluated the development of high-speed rail from 2017 to 2021.The results show that being a valid alternative to the LBSA with some missing value in the evaluated locations(units),the ME method demonstrates a good effect when applied in the CPER in China.Compared with 2017,the spatial agglomeration level of high-speed rail decreases slightly and the spatial pattern with the"cross"shape of north-south direction and west-east direction has a weakening tendency in 2021.Significant spatial inequity does not exist in the CPER.Some prefecture-lev-el cities with a low level of high-speed rail development and less benefit during the study period should be paid attention to in the future high-speed rail planning.关键词
矩阵特征分解/空间权重矩阵/空间可达性/空间公平/中原经济区Key words
ME/SWM/spatial accessibility/spatial equity/CPER分类
天文与地球科学引用本文复制引用
张海军,李丹,代莎,蒋国富..基于矩阵特征分解的中原经济区高铁发展分析[J].地理空间信息,2024,22(8):7-11,67,6.基金项目
河南省科技厅软科学研究项目(172400410339) （172400410339）
广东省社科规划一般项目(GD20CGL39). （GD20CGL39）
