Managing bottleneck congestion with incentives

被引:26
|
作者
Sun, Jian [1 ,2 ]
Wu, Jiyan [1 ,2 ]
Xiao, Feng [3 ]
Tian, Ye [1 ,2 ]
Xu, Xiangdong [1 ,2 ]
机构
[1] Tongji Univ, Minist Educ, Dept Traff Engn, Tongda Bldg,4800 Caoan Rd, Shanghai 201804, Peoples R China
[2] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, Tongda Bldg,4800 Caoan Rd, Shanghai 201804, Peoples R China
[3] Southwestern Univ Finance & Econ, Sch Business Adm, Chengdu, Peoples R China
关键词
Traffic demand management; Bottleneck model; Incentives; Point-queue model; Departure time; Equity; DEPENDENT EQUILIBRIUM DISTRIBUTION; MODEL; ARRIVALS; TOLLS;
D O I
10.1016/j.trb.2020.01.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
Incentive-Based Traffic Demand Management (IBTDM) is a strategy that adopts incentives to demotivate driving trips, or to redistribute demand across space and time. In this paper, we demonstrate the effectiveness of an IBTDM strategy that provides incentives to shift the commuting public's departure times so that the queueing delay is reduced. Based on Vickrey's bottleneck model, this paper considers the impact of incentive budget and market penetration rate on the optimal incentive profile for both homogeneous and heterogeneous commuters. The resulting departure pattern created by the optimal incentive profile achieves Pareto Optimality. The results indicate that an optimal incentive profile is "U-shape" during the morning peak with a limited budget. Additionally, we find that the marginal benefit of incentive is diminishing. Lastly, although Pareto improvement is achieved, commuters with higher values of time are found to benefit more under the optimal incentive design. It is also discovered that the incentive provider should promote IBTDM to the two ends of the income level of the commuters to achieve the lowest total system travel time under an insufficient marketing budget. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:143 / 166
页数:24
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