Analysis of the Emission Reduction Effect of Drop-and-Pull Transportation Based on System Dynamics Model

Yang, Guiqin; Guang, Shen; Dong, Mike

doi:10.1088/1755-1315/153/3/032042

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Regardless, the resulting large amount of carbon emissions inevitably brings a series of environmental problems [1] and therefore is also an important area of national energy conservation, emission reduction, and sustainable development. Tractor-and-trailer transportation is a special form of transportation in which the power section and the load section of the vehicle can be separated, which can not only improve transportation efficiency [2], but also has been proven to reduce fuel carbon emissions [3][4][5]. Compared with Western countries, the development of tractor-and-trailer transportation in China is relatively late and the mode is mostly one tractor towing one trailer.…”

Section: Introductionmentioning

confidence: 99%

Study on the Location-Routing Problem in Network-Type Tractor-and-Trailer Transportation Mode

Wang

Liu

et al. 2023

Sustainability

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Under the trend of developing green transportation in China, tractor-and-trailer transportation has received more attention. This paper focuses on the network-type tractor-and-trailer transportation mode in the port hinterland, aiming to tackle the problems of low efficiency and customer satisfaction in the existing transportation network. The authors recommend considering opening several alternative depots and making vehicle scheduling decisions simultaneous in order to optimize the existing transportation network. Therefore, this paper constructs a bi-level programming model with a generalized total cost minimization as the objective function. The solution to the original problem is divided into two stages: the location-allocation problem and vehicle scheduling; a two-stage hybrid heuristic algorithm is designed to solve the problem. Through the continuous iteration of the upper genetic algorithm and the lower hybrid particle swarm algorithm, the overall optimization of the problem is achieved. Finally, a specific example verifies the model and the algorithm’s effectiveness. The results show that the method proposed in this paper can significantly improve customer satisfaction and reduce transportation costs to a certain extent. It can also provide effective theoretical decision support for logistics enterprises to carry out tractor-and-trailer transportation business and develop green transportation.

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Section: Introductionmentioning

confidence: 99%