交通信息与安全2017，Vol.35Issue(4)：112-118,7.DOI:10.3963/j.issn.1674-4861.2017.04.015
基于模糊解释结构模型的客运交通结构优化方法
Optimizing Passenger Traffic Structure Based on a Fuzzy Interpretive Structural Model
摘要
Abstract
Optimization of the structure of passenger transportation is considered as one of effective ways for sustainable development of urban transport systems.It plays an important role in improving efficiency of urban transport systems for passengers.A fuzzy interpretive structural model is developed based on characteristics of influencing factors, and divides them into four levels which including direct influencing perceptional layer, indirect influencing cognitive factor layer, transitional connection factor layer, and fundamental factor layer.Meanwhile, inter-layer and intra-layer influencing factors are connected by the directional arc.The modeling results show that urban scale of the passenger traffic structure is the fundamental factor;capital investment is the transitional connection factor;and road layout, infrastructure, and characteristics of passengers are the indirect influencing cognitive factors.The urban transport systems in Harbin are taken as a case study.The results of this study determines key factors for optimizing structure of passenger transportation, and puts forward suggestions on optimization of urban transport systems for passengers from the aspects of traffic policy, land use, and travel modes.关键词
交通工程/客运交通结构优化/模糊解释结构模型/城市交通/递阶关系Key words
traffic engineering/structure optimization of passenger traffic/fuzzy interpretive structural model/urban traffic/hierarchical relationship分类
交通工程引用本文复制引用
王健,曹阳..基于模糊解释结构模型的客运交通结构优化方法[J].交通信息与安全,2017,35(4):112-118,7.基金项目
国家自然科学基金(51578199)资助 （51578199）
