Research on the Classification of Urban Public Transport Development Level Based on LVQ Neural Networks

摘要：

The classify evaluation of development level for urban public transport has an important role in promoting the development of public transport and enhance the service level of public transport. Combining with the characters of the urban public transport, evaluation method based on the LVQ neural network is brought out trying to analyze the classification of the urban public transport development level. Then a LVQ neural network is built. At last, a case study is conducted by taking 20 cities in Hebei Province as an example. The research result reveals that the method can efficiently evaluate the development level of the urban public transport, thus it could provide scientific advice to the policymaker to promote the development of the urban public transport.

关键词： urban public transport development level classification learn vector quantization

作者: Sun Hui Fan Zhiqing Sun Xiaopeng

作者单位: School of management, Tianjin University Tianjin, China China Development Bank, Tianjin Branch Tianjin, China Engineer Management School of management, Tianjin University Tianjin, China

会议类型: 国际会议

会议名称: 2010 International Conference on Construction and Project Management(2010年IEEE建设与项目管理国际会议 2010ICCPM)

会议地点: 成都

会议语种:英文

页码: 244-247

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）