Optimization of air-rail freight flow allocation scheme considering passenger transport demand under low-carbon background

SHI Xuegang; WU Linjiang

doi:10.11860/j.issn.1673-0291.20240111

Abstract：To support the goals of low-carbon development and reduced logistics costs,this study in-vestigates coordinated air-rail transport allocation strategies.First,passenger transport shares across different travel distances are determined based on traveler preferences.These shares are used to calcu-late the number of reserved carriages on high-speed rail and the available belly cargo capacity on pas-senger aircraft.Next,focusing on freight demand along a specific route,a bi-objective optimization model is developed that simultaneously considers transportation cost,carbon emissions,and timeliness-related costs.A nested steady-state genetic algorithm is proposed to obtain the Pareto-optimal solutions for freight flow allocation.Taking demand along the Jingkun high-speed railway cor-ridor as a case study,the model's validity is demonstrated through practical simulation.Finally,the study explores optimal freight allocation strategies under different carbon emission tax scenarios.Re-sults indicate that the nested steady-state genetic algorithm improves solution accuracy by 59%com-pared to traditional algorithms.The integrated air-rail freight scheme outperforms single-mode trans-port in terms of cost efficiency.Moreover,belly cargo transport on passenger aircraft is more suitable for time-sensitive,long-distance shipments compared to high-speed rail.When the carbon emission tax ranges from 0.5 to 3 yuan/kgCO2,each 0.5 yuan increment leads to an implicit cost increase of 130,000 to 150,000 yuan,while explicit costs decline.However,when the carbon emission tax rises to 3 to 4.5 yuan/kgCO2,both implicit and explicit costs increase.This research makes full use of the residual capacities of high-speed rail and aircraft belly holds to ensure efficient,low-cost freight trans-port.It offers a balanced approach to managing carbon emissions and logistics expenses,and provides valuable insights for promoting air-rail cooperation and informing government carbon taxation policy.