Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions

2019 ◽  
Vol 131 ◽  
pp. 168-192 ◽  
Author(s):  
Zheng Zhu ◽  
Xinwei Li ◽  
Wei Liu ◽  
Hai Yang
Keyword(s):  
Bounded Rationality ◽  
Departure Time ◽  
Stochastic Capacity ◽  
Departure Time Choice

scholarly journals Commuter Departure Time Choice Considering Parking Space Shortage and Commuter’s Bounded Rationality

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Yunqiang Xue ◽  
Huishu Fan ◽  
Hongzhi Guan
Keyword(s):  
Prospect Theory ◽  
Bounded Rationality ◽  
Parking Space ◽  
The Road ◽  
Road Congestion ◽  
Practical Support ◽  
Departure Time ◽  
Parking Management ◽  
Departure Time Choice ◽  
Severe Punishment

In order to better understand how commuters decide departure time considering parking space shortage and commuters’ bounded rationality, the reference point hypothesis of prospect theory is applied in the departure time decision-making. Commuter personal perception differences, the road congestion situation, destination parking status, and other factors were also analysed in the influence of commuter departure time choice. Based on prospect theory, an experiment was designed to investigate the intention of the commuter departure time choice. The experiment results show that the commuter’s travel satisfaction and the departure time choice of the next trip are related to the parking space residual status after the commuter arrives at the destination. The satisfaction degree of the commuter is reduced, with the decrease of the remaining parking spaces. If the commuter is satisfied with the travel result, the commuter’s departure time of next trip tends to be later. In the case of illegal parking, different penalty measures may lead to different decisions of next departure time choice. A commuter tends to depart earlier when more severe punishment for illegal parking is enforced. The research results can reveal to some degree the travellers’ departure time choice behaviour when they face the risk of no parking spaces and provide a theoretical and practical support for parking management and car travelling decision.

Departure Time Choice Equilibrium and Tolling Strategies for a Bottleneck with Stochastic Capacity

2021 ◽  
Author(s):  
Jiancheng Long ◽  
Hai Yang ◽  
W. Y. Szeto
Keyword(s):  
User Equilibrium ◽  
Single Step ◽  
Numerical Results ◽  
General Distribution ◽  
Time Varying ◽  
Bottleneck Model ◽  
Schedule Delay ◽  
Departure Time ◽  
Stochastic Capacity ◽  
Departure Time Choice

This paper develops a bottleneck model in which the capacity of the bottleneck is assumed to be stochastic and follow a general distribution that has a positive upper bound. The user equilibrium principle in terms of mean trip cost is adopted to formulate commuters’ departure time choice in the stochastic bottleneck. We find that there exist five possible equilibrium departure patterns, which depend on both commuters’ unit costs of travel time, schedule delay early and late, and the uncertainty of the stochastic capacity of the bottleneck. All possible equilibrium departure patterns are analytically derived. Both the analytical and numerical results show that increasing the uncertainty of the capacity of the bottleneck leads to an increase of commuters’ individual mean trip cost. In addition, both a time-varying toll scheme and a single-step coarse toll scheme are designed within the proposed stochastic bottleneck model. We provide an analytical method to determine the detailed toll-charging schemes for both toll strategies. The numerical results show that the proposed toll schemes can indeed improve the efficiency of the stochastic bottleneck in terms of decreasing mean total social cost, and the time-varying toll scheme is more efficient than the single-step coarse toll scheme. However, as the uncertainty of the capacity of the bottleneck increases, the efficiency of the time-varying toll scheme decreases, whereas the efficiency of the single-step coarse toll scheme fluctuates slightly.

scholarly journals Day-to-day departure time choice under bounded rationality in the bottleneck model

2017 ◽  
Vol 23 ◽  
pp. 551-570 ◽  
Author(s):  
Ren-Yong Guo ◽  
Hai Yang ◽  
Hai-Jun Huang ◽  
Xinwei Li
Keyword(s):  
Bounded Rationality ◽  
Bottleneck Model ◽  
Departure Time ◽  
Departure Time Choice
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