Research on differentiated charging and dam overturning subsidy strategies for inland river ship overflow congestion

GAO Pan, ZHANG Xueying, ZHAO Xu

Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (8) : 2682-2699.

PDF(2659 KB)
PDF(2659 KB)
Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (8) : 2682-2699. DOI: 10.12011/SETP2023-1199

Research on differentiated charging and dam overturning subsidy strategies for inland river ship overflow congestion

  • GAO Pan, ZHANG Xueying, ZHAO Xu
Author information +
History +

Abstract

In response to the problem of inland waterway navigation congestion caused by water conservancy hubs, a differentiated congestion charging and dam overturning subsidy mechanism is introduced to optimize the strategy of ship crossing the dam. Firstly, the linkage mechanism and service law of the "gate+dam flipping" dual mode dam crossing system were analyzed; Then, the cost of waiting for the ship to lock is embedded into the classic bottleneck model, and based on the time difference of the passing ship, a heterogeneous congestion charging mechanism is explored. Four subsidy schemes for dam overturning are proposed to optimize the freight diversion strategy of the dam system; Finally, taking the Three Gorges Dam as an example, the effectiveness of the model and mechanism was verified. The results show that under the heterogeneous congestion charge, the fixed cost difference and departure time preference of the two dam crossing modes will have a comprehensive impact on the decision of the ship owner to cross the dam. Among the four subsidy schemes for dam overturning, the congestion fee income is fully subsidized to the owners of indirect dam overturning ships, which can maximize the number of dam overturning ships, but will harm the interests of the owners of direct dam overturning ships; A subsidy scheme that balances efficiency and fairness can greatly promote shipowners to choose indirect dam overturning transportation methods without harming the interests of all parties, thereby effectively alleviating navigation congestion in water conservancy hubs.

Key words

water transportation / navigation congestion / bottleneck model / heterogeneous congestion charge / subsidy for dam overturning

Cite this article

Download Citations
GAO Pan , ZHANG Xueying , ZHAO Xu. Research on differentiated charging and dam overturning subsidy strategies for inland river ship overflow congestion. Systems Engineering - Theory & Practice, 2024, 44(8): 2682-2699 https://doi.org/10.12011/SETP2023-1199

References

[1] 邓萍,宋莲,黄承锋.三峡坝区过闸船舶拥堵成本测算及对坝区货物总价值影响研究[J].重庆交通大学学报(自然科学版), 2021, 40(7):23-30. Deng P, Song L, Huang C F. Calculation of congestion cost of ships passing through the gate in the Three Gorges Dam area and its impact on the total value of goods in the dam area[J]. Journal of Chongqing Jiaotong University (Natural Science Edition), 2021, 40(7):23-30.
[2] 庄元,黄惠欣,汪秉义.基于航道-船闸系统模型的内河多线船闸调度优化仿真[J].中国航海, 2023, 46(1):80-87. Zhuang Y, Huang H X, Wang B Y. Optimization simulation of inland river multi-line ship lock scheduling based on waterway-ship lock system model[J]. China Navigation, 2023, 46(1):80-87.
[3] Ji B, Yuan X H, Yuan Y B, et al. An adaptive large neighborhood search for solving generalized lock scheduling problem:Comparative study with exact methods[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(8):3344-3356.
[4] Ji B, Yuan X H, Yuan Y B. A hybrid intelligent approach for co-scheduling of cascaded locks with multiple chambers[J]. IEEE Transactions on Cybernetics, 2018, 49(4):1236-1248.
[5] 吴骁远,吴凤平."限时服务规则"下的复线船闸多目标调度优化[J].运筹与管理, 2022, 31(5):62-67. Wu X Y, Wu F P. Multi-objective scheduling optimization of double-line ship locks under "time-limited service rules" [J]. Operations Research and Management, 2022, 31(5):62-67.
[6] 赵旭,尹熙琛,高攀.主导权异质性视角下的过坝方式货运量分担率研究[J].运筹与管理, 2020, 29(8):192-201. Zhao X, Yin X C, Gao P. Research on the freight volume sharing rate of dam crossing mode from the perspective of dominant heterogeneity[J]. Operations Research and Management, 2020, 29(8):192-201.
[7] 赵旭,尹熙琛,高攀,等.基于双层规划的水利枢纽通航拥堵收费机制研究[J].管理评论, 2023, 35(6):288-300. Zhao X, Yin X C, Gao P, et al. Research on congestion charging mechanism of water conservancy hub based on double-level planning[J]. Management Review, 2023, 35(6):288-300.
[8] Li X Y, Xie C, Bao Z Y, A multimodal multicommodity network equilibrium model with service capacity and bottleneck congestion for China-Europe containerized freight flows[J]. Transportation Research Part E, 2022, 164:102786.
[9] 谭志加,曾宪扬,孟强.多式联运网络环境下的内河港口托运人选择分析[J].系统工程理论与实践, 2022, 42(5):1391-1401. Tan Z J, Zeng X Y, Meng Q. Modelling the choice of shippers on inland river ports for in a multi-modal transportation network[J]. Systems Engineering-Theory&Practice, 2022, 42(5):1391-1401.
[10] Li Z C, Huang H J, Yang H. Fifty years of the bottleneck model:A bibliometric review and future research directions[J]. Transportation Research Part B, 2020, 139:311-342.
[11] Li Z C, Lam W H K, Wong S C. Step tolling in an activity-based bottleneck model[J]. Transportation Research Part B, 2017, 101:306-334.
[12] 邓瑶,李志纯.基于活动的瓶颈模型和收费机制:研究进展评述[J].系统工程理论与实践, 2020, 40(8):2076-2089. Deng Y, Li Z C. Activity-based bottleneck model and charging mechanisms:A literature review[J]. Systems Engineering-Theory&Practice, 2020, 40(8):2076-2089.
[13] 李志纯,丁晶.基于活动方法的瓶颈模型与拥挤收费问题研究[J].管理科学学报, 2017, 20(8):93-101. Li Z C, Ding J. Research on bottleneck model and congestion charging problem based on activity method[J]. Journal of Management Science, 2017, 20(8):93-101.
[14] Zhu T T, Li Y, Long J C, Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference[J]. Transportation Research Part E, 2022, 159:102644.
[15] Li Z C, Zhang L P. The two-mode problem with bottleneck queuing and transit crowding:How should congestion be priced using tolls and fares?[J]. Transportation Research Part B, 2020, 138:46-76.
[16] 永贵,许岩.基于时间成本的瓶颈道路组合收费与出行方式选择均衡研究[J].系统工程理论与实践, 2022, 42(7):1917-1926. Yong G, Xu Y. Combined pricing of bottleneck road and mode choice equilibrium based on time cost[J]. Systems Engineering-Theory&Practice, 2022, 42(7):1917-1926.
[17] 朱永中,宗刚.出行时间价值视角下交通拥堵收费可行性研究[J].软科学, 2015, 29(4):124-128. Zhu Y Z, Zong G. Feasibility study on traffc congestion charging from the perspective of travel time value[J]. Soft Science, 2015, 29(4):124-128.
[18] Deng Y, Sheng D, Liu B L. Managing ship lock congestion in an inland waterway:A bottleneck model with a service time window[J]. Transport Policy, 2021, 112:142-161.
[19] Wang T S, Li T L. Ship lock management and dynamic congestion toll for ships[J]. Ocean and Coastal Management, 2022, 230:106369.
[20] 永贵,黄海军,许岩.双模式交通系统中拥挤费收入返还策略研究[J].系统工程理论与实践, 2020, 40(12):3210-3219. Yong G, Huang H J, Xu Y. Research on the revenue return strategy of congestion toll in dual-mode transportation system[J]. Systems Engineering-Theory&Practice, 2020, 40(12):3210-3219.
[21] Tang Y L, Jiang Y, Yang H, et al. Modeling and optimizing a fare incentive strategy to manage queuing and crowding in mass transit systems[J]. Transportation Research Part B, 2020, 138:247-267.
[22] Xiao F, Zhang H M. Pareto-improving and self-sustainable pricing for the morning commute with nonidentical commuters[J]. Transportation Science, 2014, 48(2):159-169.
[23] Cenedese C, Stokkink P, Geroliminis N, et al. Incentive-based electric vehicle charging for managing bottleneck congestion[J]. European Journal of Control, 2022, 68:100697.
[24] Yang H, Tang Y L. Managing rail transit peak-hour congestion with a fare-reward scheme[J]. Transportation Research Part B, 2018, 110:122-136.
[25] 田丽君,陈金凤,徐淑贤.双模式系统中组合策略与通行能力协同优化[J].系统工程理论与实践, 2021, 41(9):2355-2366. Tian L J, Chen J F, Xu S X. Collaborative optimization for the combined strategy and capacity allocation in a bi-modal system[J]. Systems Engineering-Theory&Practice, 2021, 41(9):2355-2366.
[26] Fan W B, Xiao F, Nie Y. Managing bottleneck congestion with tradable credits under asymmetric transaction cost[J]. Transportation Research Part E, 2021, 158:102600.
[27] 肖玲玲,黄海军,田丽君.考虑异质出行者的随机瓶颈模型[J].交通运输系统工程与信息, 2014, 14(4):93-98. Xiao L L, Huang H J, Tian L J. Stochastic bottleneck model considering heterogeneous travelers[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(4):93-98.
[28] Zhen L, Shen T, Wang S A, et al. Models on ship scheduling in transshipment hubs with considering bunker cost[J]. International Journal of Production Economics, 2016, 173:111-121.

Funding

National Natural Science Foundation of China (72271142); Outstanding Young and Middle-aged Scientific Innovation Team of Colleges and Universities of Hubei Province (T2022006)
PDF(2659 KB)

467

Accesses

0

Citation

Detail

Sections
Recommended

/