Improved Grey Uniform Analysis of Factors Affecting Urban Transit Ridership

摘要：

With the guidance of public transport priority development idea, it is very important to discuss the main affecting factors which are grey correlated to transit ridership in city. Firstly, this paper selects ten affecting factors reflecting the service level of public transportation and urban development. Secondly, the paper puts forward an improved grey uniform analysis (IGUA) which considers the differences in change rate and negative correlation factors. Moreover, the difference degree is defined in IGUA to determine the length of time series which considers the influence of dimensionless methods on analysis results. Finally, the paper takes Beijing as an example to validate the IGUA. Though comparison analysis, the effectiveness of the IGUA is proved.

作者: Yongling Gao Hao Yang Bo Wang

作者单位: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, Peoples Republic of China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）