朋友圈信息交互对个体出行决策行为的影响研究.PDFVIP

第13卷 第6期 交通运输系统工程与信息 Vol郾13 No郾6 2013年12月 Journal of Transportation Systems Engineering and Information Technology December 2013 文章编号: 1009鄄6744 (2013)06鄄0086鄄08 朋友圈信息交互对个体出行决策行为的影响研究 * 刘天亮 ,张摇 冲,王天歌,吴国寯 (北京航空航天大学 经济管理学院,北京 100191) 摘要:摇 现有关于交通信息对出行决策影响的研究大多基于ATIS提供的交通信息,而 探讨通过非正式的社交渠道即朋友圈获得的交通信息对出行决策的影响尚不多见.通 过进行可控的交通行为实验,探讨了朋友圈的交通信息交互对个体出行决策行为的影 响.实验结果表明:朋友圈交通信息交互率为33.3%时,系统整体达到最优;信息交互 率为75%时,达到用户最优;当网络由系统最优移近用户最优时,人均出行时间与成本 有所增加;相比用户最优,系统最优时的出发时刻调整情况比较分散,而路径选择情况 则相对集中. 关键词:摇 城市交通;出行决策;实验研究;朋友圈信息交互; 系统最优 中图分类号:摇 U491 文献标识码:摇 A Effects of Friends爷 Information Interaction on Travel Decisions LIUTian鄄liang,ZHANG Chong,WANGTian鄄ge,WU Guo鄄jun (School of Economics and Management,Beihang University,Beijing 100191,China) Abstract:摇 Many existing studies focus on the effects of traffic information from ATIS on travel choices. Research on the effect offriends爷travel informationonpeople爷stravel choiceisuncommon,yet needed. In this paper,behavioral experiments are conducted to discuss what the effects of information interaction with friends can bring on individual travel decision behavior. The experimental results concluded that when the rate of friends爷 information interaction reaches 33. 3%, the whole system is at an optimal level. Furthermore,users reach an optimum when the rate of friends爷travel information interaction is75%. The average time andcostperpersonisincreasingwhenthewholesystemoptimumtransferstotheuseroptimum. Moreover,adjustments of departure time at the system optimum are more dispersed than at the user optimum,while travel choice chan