Pre-trip information and route-choice decisions with stochastic travel conditions: Experiment

被引:60
作者
Rapoport, Amnon [1 ]
Gisches, Eyran J. [2 ]
Daniel, Terry [3 ]
Lindsey, Robin [4 ]
机构
[1] Univ Calif Riverside, Gary Anderson Grad Sch Management, Riverside, CA 92521 USA
[2] Univ Arizona, Eller Coll Management, Tucson, AZ 85721 USA
[3] Univ Alberta, Alberta Sch Business, Edmonton, AB T6G 2R6, Canada
[4] Univ British Columbia, Sauder Sch Business, Vancouver, BC V6T 1Z2, Canada
基金
美国国家科学基金会;
关键词
Advanced Traveler Information Systems; Congestion; Laboratory experiments; Road capacity; Route choice; Pre-trip information; CONGESTIBLE FACILITIES; BOTTLENECK MODEL; NETWORK; BEHAVIOR; SYSTEMS; DEMAND; USAGE; EXPECTATIONS; COMMUTERS; CAPACITY;
D O I
10.1016/j.trb.2014.06.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies the effects of pre-trip information on route-choice decisions when travel conditions on two alternative congestible routes vary unpredictably. It presents and discusses an experiment designed to test a model recently proposed in a companion paper by Lindsey et al. (2013). That model predicts that if free-flow costs on the two routes are unequal, travel cost functions are convex, and capacities are positively and perfectly correlated, then in equilibrium, paradoxically, total expected travel costs increase with the provision of pre-trip information about travel conditions on each route. By contrast, when capacities vary independently, total expected travel costs are predicted to decrease with pre-trip information. We reformulate the model for finite populations, and then test and find support for its predictions in an experiment where under different capacity scenarios, and with and without pre-trip information, subjects are asked to choose routes with payoff contingent on their performance. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:154 / 172
页数:19
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