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铁路危险货物运输办理站点的优化配置,涉及到需求分布、设置地点、区域规划、环保要求、业务功能以及与其他运输方式的分工、衔接等,是一个复杂的系统工程。分析了已有铁路危险货物办理站点整合优化模型的不足,首先从铁路部门角度综合考虑现有铁路危险货物办理站点的各方面条件,进行多准则决策评价,从运输需求者角度考虑运输方式多属性决策,进行铁路危险货物办理站点的综合效用评价,并基于投资成本、环境风险、运输效用和区域公平性等方面构建了铁路危险货物办理站点优化配置模型,为了有效解决多站点、多需求、多区域、多目标铁路危险货物办理站点优化配置模型因素复杂、规模大、层次多的问题,提出了运用大系统分解协调的多目标遗传算法求解模型的思路。
It is a complicated systematic project to optimize the configuration of railway dangerous goods transportation and handling stations, which involves demand distribution, site setting, regional planning, environmental requirements, business functions and division of labor with other modes of transportation. This paper analyzes the shortcomings of the integrated model of railway dangerous goods handling station integration. Firstly, it considers the conditions of existing railway dangerous goods handling stations comprehensively from the perspective of railway department, evaluates multi-criteria decision-making, considers the multi-attribute of transportation mode from the perspective of transport demand, Decision-making, carry out the comprehensive utility evaluation of the railway dangerous goods handling site, and build the optimal allocation model of railway dangerous goods handling site based on the investment cost, environmental risk, transportation effectiveness and regional fairness. In order to effectively solve the problem of multi-site and multi-demand Regional and multi-target railway dangerous goods for site optimization configuration model is complex, large-scale and multi-level problems, put forward the idea of using multi-objective genetic algorithm to solve the model.