基于改进密度峰值聚类的私人汽车保有量影响因素分析
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引用本文:王传鑫1,袁永生2?覮,周铭华3.基于改进密度峰值聚类的私人汽车保有量影响因素分析[J].计算技术与自动化,2019,(1):122-125
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王传鑫1,袁永生2?覮,周铭华3 (河海大学 理学院江苏 南京 211100) 
中文摘要:为了研究不同地区间私人汽车保有量影响因素的差异性,选取了五个影响因素,通过改进的密度峰值聚类方法将全国31个省市自治区分成了以甘肃省和江西省为聚类中心的两类地区,并分别建立了影响因素的面板数据模型。结果表明:社会消费品零售总额、公路旅客周转量和年末公共交通车辆运营数对第一类地区私人汽车的发展有较大影响;社会消费品零售总额、年末实有道路长度和年末公共交通车辆运营数会影响第二类地区私人汽车的发展。研究结果可为两类地区私人汽车的发展提供一定的参考意义。
中文关键词:影响因素  密度峰值聚类  私人汽车保有量  面板数据模型
 
Analysis of Influence Factors of Private Car Ownership Based on Improved Density Peak Clustering
Abstract:In order to study the differences of influencing factors of private car ownership in different regions,five influencing factors were selected.Improved density peak clustering was used to divide the autonomous regions of 31 provinces in China into two clusters with Gansu and Jiangxi provinces as cluster centers class areas,and established the panel data model of influencing factors. The results show that total retail sales of social consumer goods,road passenger turnover and year-end public transport vehicle operations have a significant impact on the development of private cars in the first category. The total retail sales of social consumer goods,the actual road length at the end of the year and the number of public transport vehicles operating at the end of the year affect the development of private cars in the second type of area. The research results can provide reference for the development of private cars in the two types of regions.
keywords:influencing factors  density peak clustering  private car ownership  panel data model
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