Optimization of green multimodal transport routes in Yangtze River under uncertain conditions

YIN Huanqing; JIANG Huiyuan

doi:10.11860/j.issn.1673-0291.20240088

Abstract：To address the optimization of green multimodal transport routes for container transportation in the Yangtze River basin under uncertain conditions,this study incorporates trapezoidal fuzzy num-bers and fuzzy chance-constrained programming theory to clarify uncertainty based on fuzzy demand and fuzzy time windows.A multimodal transport route optimization model is developed,factoring in turnover cost,time cost,and carbon emission cost.A genetic algorithm with an elite retention strat-egy is employed to optimize the multimodal transport routes for 13 cities within the Yangtze River ba-sin.The results show that due to the economic shortcomings of road transportation,the constraints of arrival time windows,and the timeliness limitations of waterway transportation,railway transporta-tion emerges as the dominant mode in the region's multimodal transport system.Railway-waterway intermodal transport is identified as the primary form of intermodal transport in the Yangtze River ba-sin.Fluctuations in carbon trading prices influence the proportion of railway and waterway transporta-tion in multimodal transport schemes,with carbon trading policies effectively promoting the green tran-sition of transportation modes.A positive correlation is observed between the fuzzy demand preference value and total cost;when the fuzzy demand preference value ranges between 0.5 and 0.7,the growth rate of total cost peaks.The fuzzy demand preference value of 0.5 is considered ideal for balancing to-tal cost and customer demand.These findings provide valuable insights for enhancing the efficiency of multimodal container transportation in the Yangtze River basin and advancing the transportation indus-try's green,low-carbon,and sustainable development.