Bi-Level Programming Based Layout Optimization of Water-Land Intermodal Transport Hub

Abstract

Against the problem of water-land intermodal transport logistics in area of Yangtze River, based on the method of bi-level programming, a layout optimization model of the area under the condition of flow of goods in dual direction is built up. The model involves optimized selection of ports as the intermodal transport hubs and determination of throughout of ports after construction from the point view of logistic planning department and optimized selection of water-land intermodal transport routes and determination of goods volume among the routes. The example reveals that the problem of layout optimization in Yangtze River basin under the condition of dual-direction goods flow can be modeled by bi-level programming, and the model can be solved by two kinds of algorithms including two-phrase one and adding objective functions.

Challenges and Opportunities for the Development of Inland Waterway Transport in Brazil

“…In this way, with greater balance in the use of transport modes, especially with the use of waterways, logistics could become greener and cheaper. Especially in Brazil, where transport by road predominates, and it is necessary to seek more sustainable means of transport [24], changing transport from roads to waterways [1,3,8,14,19,[25][26][27][28][29]. For this reason, in recent years, there has been a renewed interest in IWT [30,31].…”

“…Sustainability 2024, 16, 2136 2 of 25 recently, but in Brazil, investments in IWT are still limited, being applied almost exclusively to highways [6]. Thus, given this lack of research, public policies and investments make the Brazilian transport system different when compared to Europe and China transport systems as well as less efficient.…”

Optimizing Resources of Multimodal Transport Terminal for Material Flow Service

“…As the most relevant recent studies, where the models of the transport terminal operation were proposed, the papers [16,19,29,31] should be noted. The authors use contemporary mathematical and modelling tools, such as queuing theory methods [28,32], variations of linear and non-linear programming [10,19,20,33,34], evolutionary algorithms [17,26,29], specific numerical simulations' techniques [23,31], and advanced heuristics [21,35].…”