Optimization Of Land-based Gathering And Distribution Network For Container Ports Considering Carbon And Sulfur Emissions Under Uncertain Demand

With the continuous promotion of reform and opening up and the rapid growth of the social economy,China's container transportation industry is booming.The port container throughput has ranked first in the world for many consecutive years,and the increasing demand for container transportation and the backward port land-based distribution system The contradiction between them is also becoming more and more obvious.The optimization of the land-based transportation network of container ports has become a common concern of ports worldwide.The large transportation turnover brought about by the trade boom has accelerated the consumption of energy,and the consequent increase in emissions from transportation has exacerbated atmospheric pollution such as the greenhouse effect and smog,which has a huge impact on the environment.Environmental problems caused by the development of transportation cannot be ignored.The turbulence in the trade market has added uncertainties to container transportation.How to optimize the land-based collection and transportation network of the container port in the case of uncertain transportation demand,reduce the cost of transportation and reduce the pollution to the environment,It is a question that port decision makers and shipping companies need to consider.Although the current research on the optimization of the land-based transportation network of container ports no longer focuses only on the optimal cost and time,and many scholars have begun to focus on the field of "green transportation",most of the research only focuses on carbon emissions and ignores it.The environmental impact of sulfur oxides emitted during transportation.Based on the in-depth study of container transportation and land-based distribution and transportation of ports,this article has done the following work:First,the literature related to transportation emissions,carbon and sulfur emissions costs,and the optimization of land-based collection and distribution of container ports was retrieved and studied.While summarizing its contributions,it also found imperfections.This paper combined the research status and put forward the research of this paper Direction and focus.Secondly,through the exploration of relevant literature,the method of quantifying C02 and SO2 emissions in the transportation process was determined,and the basic data required for the research of each relevant data collection was consulted.Thirdly,the concept of environmental tax is introduced to constitute the carbon and sulfur emission costs of land-based container transportation of container ports,and combined with direct transportation costs,time costs and transit costs,a random opportunity constraint optimization model with generalized transportation cost minimization as the goal is built,combined with Stochastic programming theory transforms random chance constraints into deterministic constraints.Then,according to the characteristic that the standard whale algorithm is "easy to fall into local optimum",combined with the inertial weight theory and the principle of self-mutation factor,an improved whale algorithm is proposed,which improves its global search ability.Finally,combined with the calculation example,the improved whale algorithm is used to solve the optimization model,and the optimal freight flow distribution plan is obtained.The calculation example is adjusted from the three perspectives of carbon and sulfur emission costs,the algorithm,and the transportation capacity of highways and railways,and Compared with the corresponding optimal cargo flow plan,the effectiveness and superiority of the improved whale algorithm are verified,the impact of carbon and sulfur emission costs on the container terminal land transportation network is discussed,and the container port land transportation system is analyzed.The development trend of the network.Innovative results of this research:(1)Taking into account sulfur emissions when analyzing the environmental impact of gathering and transportation,further expanding the research scope of the land-based gathering and transportation network of container ports;(2)An improved whale optimization algorithm is proposed to provide a reference for the algorithm design of related research in the future.