首页|Commuting departure time choice under stochastic demand: Departure preferences and the value of information
Commuting departure time choice under stochastic demand: Departure preferences and the value of information
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
This paper experimentally investigates morning commute behavior under stochastic demand and information provision. To understand the effects of information on departure time choice behavior and how commuters respond to the provided information under stochastic demand, we conducted a laboratory experiment involving two treatments with different amounts of information provided to the subjects. Our experimental results indicated that (Ⅰ) the departure rates under different demands could be unified as a set of normalized departure rates, (Ⅱ) feedback information affected departure time choice behavior, and more feedback information might induce worse outcomes (i.e., information paradox), (Ⅲ) subjects showed heterogeneous departure time preferences, and providing more feedback information might make more subjects choose to depart early, and (Ⅳ) a small increase in the number of subjects with early departure preferences could increase traffic congestion under high demand and reduce the efficient use of transport systems. Our experimental studies shed light on the importance and complexity of information provision and departure time preferences on the morning commute traffic patterns and congestion.
Departure time choiceStochastic demandInformation provisionDeparture preferenceLaboratory experiment
Xiao Han、Yong Yang、Rui Jiang、Zi-You Gao、H. Michael Zhang
展开 >
School of Systems Science, Beijing Jiaotong University, Beijing, 100044, China
Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, United States
NETL
NSTL
Elsevier
