特大城市居民出行行为决策研究  

Research on Travel Behavior Decisions in Large City

作　　者：顾玉磊[1] 陈文强[1] 吴群琪[1] 

机构地区：[1]长安大学经济管理学院,陕西西安710064

出　　处：《湘潭大学自然科学学报》2012年第4期8-12,共5页Natural Science Journal of Xiangtan University

基　　金：教育部人文社科项目(11YJA630155);中央高校基本科研业务费专项资金项目(CHDW2011JC022);长安大学基础研究支持计划专项基金

摘　　要：为研究特大城市居民出行决策规律,以居民常规出行方式(步行和乘公交车)为研究对象,以期望效用理论为理论基础,以居民出行时间价值损失最小为约束条件,构建居民出行行为的马尔科夫决策模型.研究结果显示:在特定的出行范围内,居民出行行为决策与居民的出行时间价值关系密切,出行时间价值越高,选择可靠性高、时间价值实现风险低的出行方式概率越大.The paper constructs the markov decision model of residents travel behavior in order to re- search megapolis residents travel decision rule. It takes travel mode of residents （walking and bus） as re- search object, expected utility theory as the theoretical basis and minimum loss of time value as constraint conditions for residents travel. The results are showed that： there is a close relationship between the behav- ior decision-making and time value of residents travel in the specific travel range, and the higher the time value of travel, the greater probability for residents to choose the travel mode that is the high reliability and low realization risk of time value.

关 键 词：出行决策 出行时间价值 出行方式 马尔科夫决策过程 

分 类 号：U491.14[交通运输工程—交通运输规划与管理]