摘要
为研究我国除香港、澳门2个特别行政区及台湾省以外其它31个省(自治区、直辖市)的交通运输能力,基于2018年的交通运输数据,从2个层面筛选出6个指标构建交通运输能力综合评价体系,运用因子分析和K-Means聚类进行分析.结果表明,这些省份的交通运输能力发展不平衡,差异性较大,其中东部、西部2地区差异最大,各省可通过提高地区经济实力、增加运输量、提升路网密度等方式来提高地区交通运输能力.
In order to study the transportation capacity of 31 provinces(autonomous region,municipality directly under the central government)except Hong Kong,Macao and Taiwan Province,based on the transportation data in 2018,six indicators were selected from two levels to build a comprehensive evaluation system of transportation capacity.Factor analysis and K-Means clustering were used for analysis.The results show that the development of transportation capacity in these provinces is unbalanced,and there are great differences,the difference between eastern and western regions is the biggest.These provinces can improve regional transportation capacity by improving regional economic strength,increasing transportation volume and increasing road network density and so on.
作者
聂云龙
朱家明
赵洪淼
潘锦东
李谋磊
NIE Yunlong;ZHU Jiaming;ZHAO Hongmiao;PAN Jindong;LI Moulei(School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《高师理科学刊》
2021年第4期25-29,共5页
Journal of Science of Teachers＇College and University
基金
2020年国家级大学生创新训练项目(202010378035)。
关键词
交通运输能力
客货运输量
因子分析
K-MEANS聚类
transportation capacity
passenger and cargo transport volume
factor analysis
K-Means clustering
