摘要
为评价江苏省各地级市公共交通能力,构建评价指标,基于各城市统计年鉴的客观数据,利用变差系数法对面板数据进行检验,应用PCA主成分分析法实现降维,最终得到城市公共交通能力得分并排名。结果显示城市群各指标区分度较好,地区公共交通发展差异性大;南京、苏州、徐州3个大型交通枢纽城市公共交通能力明显领先;公路货运量和铁路旅客发送量是对公共交通能力影响最大的两个指标。
In order to evaluate the public transportation capacity of each city in Jiangsu Province and construct evaluation indicators,based on the objective data of the statistical yearbook of each city,the panel data is tested by the coefficient of variation method,and the PCA principal component analysis method is used to achieve dimensionality reduction,and finally the urban public transportation ability are scored and ranked.The results show that the urban agglomeration indicators are well distinguished,and the development of regional public transportation is very different;the public transportation capacity of the three large transportation hubs of Nanjing,Suzhou and Xuzhou is obviously leading;the volume of road freight and the volume of railway passengers are the two biggest indicators that affect the public transportation capacity.
作者
周倩
ZHOU Qian(Yangzhou University,Yangzhou 225000,China)
出处
《价值工程》
2020年第30期101-103,共3页
Value Engineering
关键词
公共交通能力
主成分分析法
变差系数
public transportation capacity
principal component analysis
coefficient of variation