Strategic port competition in multimodal network development considering shippers’ choice

Jiang, Xiaodan; Fan, Houming; Luo, Meifeng; Xu, Zhao‐Dong

doi:10.1016/j.tranpol.2020.02.002

Cited by 28 publications

(11 citation statements)

References 65 publications

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“…Zhang et al ( 27 ) discussed the competition between two seaports with respect to seaport prices, locations, and service fees at dry ports. Jiang et al ( 28 ) established a Stackelberg game model and applied the nested logit model to describe the joint choice of shippers on the seaport, mode, and dry port. There are clear differences between what is considered in this paper and the previous research.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are clear differences between what is considered in this paper and the previous research. Firstly, Jiang et al ( 28 ) studied the location strategy of each seaport considering the game between two seaports, but we optimize the layout of dry ports in a region with multiple seaports from the perspective of the central government. Secondly, we consider the nested logit model together with capacity constraints of nodes and links to form a constrained nested logit model to jointly describe the shippers’ choice behavior, rather than considering both separately in different parts of the model.…”

Section: Literature Reviewmentioning

confidence: 99%

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Game-Theoretical Method Toward Dry Port Multilevel Location Considering Capacity Constraints and Shippers’ Choice Behavior

Zhang

2023

Transportation Research Record: Journal of the Transportation R

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The high demand for containerized cargo and the low market share of low-carbon transportation modes for hinterland freight systems in China are causing severe traffic congestion and environmental pollution. Dry ports offer an opportunity to reduce carbon emissions, relieve congestion, and expand the hinterland of seaports. Therefore, this paper focuses on the dry port multilevel location problem considering capacity constraints, shippers’ choice behavior, and empty container transportation in a four-mode port-hinterland freight network. A Stackelberg game-theoretical model is built for the government and shippers. In the model, the government determines the number, location, and capacity level of dry ports, and shippers choose seaports and paths according to the constrained nested logit model because of the capacity constraints of nodes and links. To solve the problem, a complete enumeration algorithm and a hybrid genetic algorithm are designed. Numerical experiments in China are performed, and two analyses are conducted on the cost parameters and time parameters. The results indicate that constructing dry ports can decrease carbon emissions and generalized transportation costs, and promote the mode shift from road to railway. However, building a larger number and higher capacity level of dry ports sometimes increases total costs, contrary to expectations. There are also some interesting findings with respect to the effects of costs and time parameters on dry port location results, carbon emissions, modal split, and seaport market share.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Game-Theoretical Method Toward Dry Port Multilevel Location Considering Capacity Constraints and Shippers’ Choice Behavior

Zhang

2023

Transportation Research Record: Journal of the Transportation R

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“…To analyze the transport-path selection, a nested Logit model is proposed, where the inertia and non-inertia preferences are separated into two layers. The nested Logit model overcomes the IIA property in the polynomial model by making the alternatives in the same layer related, while the alternatives in different layers independent [8,10,38]. The tree structure with two layers of the nested Logit model is shown in Figure 2.…”

Section: Nested Logit Model For Transport-path Selectionmentioning

confidence: 99%

Integrated Planning of Feeder Route Selection, Schedule Design, and Fleet Allocation with Multimodal Transport Path Selection Considered

Guo

Zheng

et al. 2023

JMSE

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In the shipping network optimization, the feeder liner companies not only need to decrease the operation cost by comprehensively optimizing the route, schedule, and fleet but also try to increase the operation income by attracting more shippers, with multimodal transport-path selection considered. Therefore, this paper proposes the integrated planning of feeder route selection, schedule design, and fleet allocation with shippers’ transport-path selection considered. We utilize the nested Logit model to analyze the shipper selection behavior for the multimodal transport path and then formulate a mixed-integer nonlinear programming model of integrated optimization for route, schedule, and fleet. To solve our nonlinear model, we propose a particle swarm optimization (PSO) framework embedded with CPLEX solver by combining the constraint relaxations and the linearization techniques with the heuristic rules. Based on the multimodal transport system in Northern China, computational experiments were conducted to verify the effectiveness of our model and algorithm. The sensitivity analyses of model parameters show that with the increase in ship rent, feeder liner companies should reduce the ship capacity or try to increase the number of port call. With the increase in fuel price, feeder liner companies should reduce the ship speed under the constraints of the arrival-time window and schedule interval. If shippers’ time utility coefficient is high, feeder liner companies should shorten the sailing time of ships by decreasing the number of port calls or shorten the at-port time of ships by increasing the service frequency. If the multimodal transport paths are cost-advantaged or if the waterway transport time has a small impact on multimodal transport time, feeder liner companies should weigh the increase in income and cost when using the measures of time saving. These management insights provide decision support for the operation practice of liner shipping network optimization.

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“…Chang et al [21] considered the carrying capacity limitation of the dry port, constructed a two-stage multicapacity-level dry port location model with the objective of minimizing construction and transportation costs, and optimized the layout and freight demand distribution of the dry port in Northeast China. e game theory method is also introduced into the optimization of dry port-seaport network [22][23][24][25]. Wei and Dong [26] applied the biobjective, mixed integer programming model to study a new type of cross-border logistics network connecting the marine logistics network with the inland cross-border logistics network through the dry port, and discussed the organization optimization of inland import and export goods under different network scenarios.…”

Section: Optimization Of a Drymentioning

confidence: 99%

Joint Optimization of a Dry Port with Multilevel Location and Container Transportation: The Case of Northeast China

et al. 2021

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Dry port construction can reduce the cost of container transportation, and its location is the focus of existing research. Considering dry port capacity limitations and scale advantages, this study calculates the costs associated with dry port construction and operations, transportation, time, and the environment and constructs a joint optimization model of the dry port location and transportation scheme to minimize the total cost. Taking 35 prefecture-level cities in Northeast China as the source of container goods and Dalian port as the destination, this study conducts an empirical analysis using the Gurobi 9.0.2 optimizer of the AMPL software to solve the problem and takes the minimum total cost as the goal to select the best dry port and container transshipment scheme. The research draws the following conclusions. Seven dry ports also need to be built in the road-rail (RD-RL) mode, which shares 82.76% of the container transshipment volume, to reduce the total transportation cost by approximately 21.67%. Although multimodal transport through dry ports increases the time cost slightly, it can significantly reduce the economic and environmental costs of container transportation.

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Strategic port competition in multimodal network development considering shippers’ choice

Cited by 28 publications

References 65 publications

Game-Theoretical Method Toward Dry Port Multilevel Location Considering Capacity Constraints and Shippers’ Choice Behavior

Game-Theoretical Method Toward Dry Port Multilevel Location Considering Capacity Constraints and Shippers’ Choice Behavior

Integrated Planning of Feeder Route Selection, Schedule Design, and Fleet Allocation with Multimodal Transport Path Selection Considered

Joint Optimization of a Dry Port with Multilevel Location and Container Transportation: The Case of Northeast China

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