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考虑托运人行为决策的集装箱港口腹地划分模型 被引量:1

Division Model of Container Port Hinterland Considering Shippers’Behavior Decisions
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摘要 为解决现有集装箱港口腹地划分模型中,因基于绝对理性假设,忽视托运人选择港口时的行为决策造成的腹地划分结果与实际情况存在较大偏差的问题,提出托运人行为决策逻辑链,基于路径优化模型,引入港口约束、时间约束和航线约束。基于上述增加约束,以托运人运输成本最小化为目标,以各条集疏运路线运量为决策变量,构建考虑托运人行为决策新增约束的线性整数规划模型。选取珠三角九市及该区域8个港口作为研究对象,对实例数据进行模型验证,基于历年吞吐量指标对比发现,该模型较传统模型在误差均方差和平均百分比误差方面显著下降,OD流对比更接近真实情况。上述结果表明,考虑托运人行为决策的集装箱港口腹地划分模型可更精确地实现集装箱港口的腹地划分需求。 A logical chain of shippers’behavioral decisions is proposed based on a path optimization model,in which port constraints,transportation time constraints,and route constraints are introduced.This helps to address the drawback that the existing container port hinterland division model is based on the assumption of complete rationality yet ignores the shippers’behavioral decisions when choosing ports,resulting in a significant difference from the actual situation.Based on the additional constraints,a linear integer programming model is constructed with the objective of reducing the shipper’s transportation cost and the traffic volume of each collection and distribution route as the decision variable.For the purpose of model validation using example data,nine cities and eight ports in the Pearl River Delta have been chosen for this research.According to the analysis of throughput indicators over time,the mean squared error and mean percentage error of the model are much lower than the conventional models,and the comparison of OD flow is more accurate.The findings demonstrate that the container port hinterland division model taking the shipper’s behavior decisions into account may more precisely match the criteria.
作者 高天航 徐杏 吴宏宇 毕珊珊 田佳 GAO Tian-hang;XU Xing;WU Hong-yu;BI Shan-shan;TIAN Jia(Division ofWaterway Planning,Transport Planning and Research Institute Ministry of Transport,Beijing 100028,China)
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2023年第1期10-16,共7页 Journal of Transportation Systems Engineering and Information Technology
基金 国家社科基金重大项目(21ZDA029)。
关键词 水路运输 腹地划分 路径优化模型 集装箱港口 托运人行为决策 waterway transportation port division path optimization model container port shippers’behavior decisions
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