Journal of Transportation Systems Engineering and Information Technology ›› 2012, Vol. 12 ›› Issue (5): 1-6.

• Forum about Comprehensive Transportation System •     Next Articles

Clustering Taxi Quantity Regulatory Levels of  Chinese Capital Cities

YAO Zhi-ganga,CHENG Gaob   

  1. a.School of Economics and Management; b. School of Highway, Chang’an University, Xi’an 710064, China
  • Received:2012-05-10 Revised:2012-07-04 Online:2012-10-25 Published:2012-11-28

中国省会城市客运出租汽车数量管制强度分类

姚志刚*a,程高b   

  1. 长安大学 a经济与管理学院; b公路学院,西安 710064
  • 作者简介:姚志刚(1974-),男,陕西澄城人,副教授.
  • 基金资助:

    教育部人文社会科学研究青年基金项目 (10YJC790340);长安大学省级哲学社会科学重点研究基地项目(JD0902);中央高校基本科研业务费专项资金资助项目(CHDW2011ZD010).

Abstract:

Different purposes of taxi quantity control lead to different performances of quantity regulation in Chinese urban areas. To obtain a clear division of taxi quantity regulation levels of Chinese capital cities, a fuzzy cmeans clustering is presented. The paper identifies six important demanding factors such as population, urban builtup area, transit volume, GDP, road area and amount of intercity passenger to get the corresponding indexes of urban taxi quantity regulatory levels. An effecient classification scheme is selected with clustering effectiveness analysis and Fstatistics test after running a dedicated the MATLAB 7.0 program. The result indicates that thirtyone capital cities of mainland China are definitely classified into five categories. The categorization of quantity regulatory levels in this paper provide references for formulating the of taxi license supply models.

Key words: transportation economy, quantity regulatory level, fuzzy cmeans clustering, taxi, capital city

摘要:

由于不同管制目标下的城市客运出租汽车数量管制绩效存在差异,为掌握省会城市客运出租汽车数量管制强度,将人口拥有率、建成区面积拥有率、公交客运量比率、GDP拥有率、道路面积拥有率和对外客运量比率作为分类指标,运用模糊-均值聚类法对中国省会城市客运出租汽车的数量管制强度进行分类,进行Matlab 7.0编程,经聚类有效性分析和F-统计量检验后获得最佳分类方案.结果表明,将31个样本城市的客运出租汽车数量管制强度分为低、较低、中、较高、高5个等级最佳,分类结果为建立出租汽车数量调控模型奠定了基础.

关键词: 交通运输经济, 管制强度分类, 模糊-c均值聚类, 出租汽车, 省会城市

CLC Number: