摘要
为了研究城市交通中旅行时间的不确定性对出行者路径选择的影响,基于展望理论,提出了出行者规避不确定性假说,应用贝叶斯模型分析了重复出行中出行者对不确定性的认知更新及其对出行行为的影响,并通过调查数据进行了实例验证。分析结果表明:77.73%的出行者偏好旅行时间不确定性小的路径;路径旅行时间不确定性降低时,有66.39%的出行者改变了出行时间,平均时间预算减少了10.03%;对路径熟悉程度增加时,有70.90%的出行者改变了出行时间,平均时间预算减少了15.56%。可见,出行者的出行时间预算随旅行时间不确定性的下降和重复出行的增加而减少。
To study the impact of travel time uncertainty on traveler route choice in urban traffic,a hypothesis that travelers took aversion to travel time uncertainty was presented based on prospect theory.A Bayesian model was used to analyze travelers' behaviors influenced by updating uncertainty perceived in rerouting,and an example was tested by using survey data.Analysis result shows that 77.73% travelers prefer routes with less uncertainty.66.39% travelers change their departure times when the uncertainty of travel time reduces,so that mean travel time budget decreases about 10.03%.70.90% travelers change their departure times when their familiarities with route increase,so that mean travel time budget decreases about 15.56%.So travel time budgets decrease with the decrease of travel time uncertainty and the increase of repeated travels.3 tabs,1 fig,13 refs.
出处
《交通运输工程学报》
EI
CSCD
北大核心
2010年第5期77-80,101,共5页
Journal of Traffic and Transportation Engineering
基金
国家自然科学基金项目(70771094)
中央高校基本科研业务费专项资金项目(SWJTU09BR262)
关键词
城市交通
出行者路径选择
不确定性规避
认知更新
urban traffic
traveler route choice
uncertainty aversion
perception updating