Departure time choice behavior in commute problem with stochastic bottleneck capacity: experiments and modeling
The effect of environmental uncertainty on equilibrium patterns is of vital importance to understand travel choice behavior. This paper conducted a laboratory experiment to investigate the effects of stochastic bottleneck capacity on departure time choice behavior. In the experiment, the bottleneck...
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Published in | Transportmetrica (Abingdon, Oxfordshire, UK) Vol. 19; no. 2 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Taylor & Francis
15.03.2023
Taylor & Francis Ltd |
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Abstract | The effect of environmental uncertainty on equilibrium patterns is of vital importance to understand travel choice behavior. This paper conducted a laboratory experiment to investigate the effects of stochastic bottleneck capacity on departure time choice behavior. In the experiment, the bottleneck capacity varied stochastically from round to round, and two different scenarios with different information feedback were investigated. Our experimental results showed that the relationship between the mean travel cost and the standard deviation of travel cost on each departure time was fitted approximately linearly with a positive slope
, indicating subjects were more likely to minimize their travel cost budget rather than their mean travel cost. Also, we found that the feedback on costs of all departure times resulted in a smaller
than the feedback on the subjects' own travel cost only. We propose a reinforcement learning model to reproduce the main experimental findings. |
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AbstractList | The effect of environmental uncertainty on equilibrium patterns is of vital importance to understand travel choice behavior. This paper conducted a laboratory experiment to investigate the effects of stochastic bottleneck capacity on departure time choice behavior. In the experiment, the bottleneck capacity varied stochastically from round to round, and two different scenarios with different information feedback were investigated. Our experimental results showed that the relationship between the mean travel cost and the standard deviation of travel cost on each departure time was fitted approximately linearly with a positive slope , indicating subjects were more likely to minimize their travel cost budget rather than their mean travel cost. Also, we found that the feedback on costs of all departure times resulted in a smaller than the feedback on the subjects’ own travel cost only. We propose a reinforcement learning model to reproduce the main experimental findings. The effect of environmental uncertainty on equilibrium patterns is of vital importance to understand travel choice behavior. This paper conducted a laboratory experiment to investigate the effects of stochastic bottleneck capacity on departure time choice behavior. In the experiment, the bottleneck capacity varied stochastically from round to round, and two different scenarios with different information feedback were investigated. Our experimental results showed that the relationship between the mean travel cost and the standard deviation of travel cost on each departure time was fitted approximately linearly with a positive slope , indicating subjects were more likely to minimize their travel cost budget rather than their mean travel cost. Also, we found that the feedback on costs of all departure times resulted in a smaller than the feedback on the subjects' own travel cost only. We propose a reinforcement learning model to reproduce the main experimental findings. |
Author | Han, Xiao Liu, Ronghui Liu, Qiumin Jiang, Rui Lu, Dongxu Gao, Ziyou |
Author_xml | – sequence: 1 givenname: Qiumin surname: Liu fullname: Liu, Qiumin organization: Beijing Jiaotong University – sequence: 2 givenname: Dongxu surname: Lu fullname: Lu, Dongxu organization: Beijing Jiaotong University – sequence: 3 givenname: Rui surname: Jiang fullname: Jiang, Rui email: jiangrui@bjtu.edu.cn organization: Beijing Jiaotong University – sequence: 4 givenname: Xiao surname: Han fullname: Han, Xiao email: han.xiao@bjtu.edu.cn organization: Beijing Jiaotong University – sequence: 5 givenname: Ronghui orcidid: 0000-0003-0627-3184 surname: Liu fullname: Liu, Ronghui organization: University of Leeds – sequence: 6 givenname: Ziyou surname: Gao fullname: Gao, Ziyou organization: Beijing Jiaotong University |
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SubjectTerms | bottleneck model Departure time choice Environment models Feedback laboratory experiment reinforcement learning model stochastic capacity |
Title | Departure time choice behavior in commute problem with stochastic bottleneck capacity: experiments and modeling |
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