首页 | 本学科首页   官方微博 | 高级检索  
     

适于交通方式划分的NL模型巢式层次结构研究
引用本文:温惠英,曾文创. 适于交通方式划分的NL模型巢式层次结构研究[J]. 交通与计算机, 2010, 28(4): 35-38
作者姓名:温惠英  曾文创
作者单位:华南理工大学土木与交通学院,广州510640
摘    要:为准确把握Nested-Logit模型(NL模型)在交通方式划分中的应用,以交通方式巢式层次结构为研究对象,在分析交通方式选择影响因素和各交通方式之间的相关性的基础上,根据人们在选择交通方式过程中首先考虑因素的不同,构造了不同的交通方式巢式层次结构方案,并提出基于拟合优度度量的判断方法优选巢式层次结构方案。根据实例旅客出行调查数据,利用SAS软件对拟合优度度量系列组进行比较分析,分析结果表明:基于拟合优度度量构造的巢式层次结构更能反映交通方式选择的真实性,克服了NL模型层次结构明显的主观判断偏离客观实际的缺陷。

关 键 词:NL模型  交通方式划分  巢式层次结构  拟合优度度量  SAS

Nested Structure of NL Mode Suitable for Traffic Mode Split
WEN Huiying,ZENG Wenchuang. Nested Structure of NL Mode Suitable for Traffic Mode Split[J]. Computer and Communications, 2010, 28(4): 35-38
Authors:WEN Huiying  ZENG Wenchuang
Affiliation:(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China)
Abstract:In order to accurately grasp application of the Nested-Logit model(NL model) in traffic modal split,with nested structure of traffic mode choice as the research object,on the basis of analyzing influencing factors of traffic mode choices and the correlation between traffic modes,according to the difference of people's first considering factors when they choose traffic modes,the paper constructed different programs of nested structure of traffic mode choice,and proposed an approach based on goodness of fit measures to determine the best program of nested structure of traffic mode choice.According to passenger travel survey data in the example,using SAS statistical software,the paper comparatively analyzed a group of the goodness of fit measure.The results show that nested structure based on the goodness of fit measure can better reflect the authenticity of traffic mode choice,at the same time overcome the apparent disadvantages of subjective judgments deviating from the objective reality in traffic mode choice.
Keywords:NL model  traffic mode split  nested structure  goodness of fit measure  SAS
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号