首页|集装箱干线港公路运输交通特征表征参数研究——以厦门港为例

集装箱干线港公路运输交通特征表征参数研究——以厦门港为例

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公路运输是中国港口集装箱集疏运的最主要运输方式.针对现状公路运输交通特征表征参数体系缺失、参数标准不统一的问题,提出运输结构、运输空间效率、运输时间效率共3类12项表征参数体系.从厦门港2017-2022年集装箱公路运输数据分析入手,挖掘各参数的影响因素及表征意义.通过对标中国先进港口,挖掘厦门港的发展优势及短板,提出厦门港未来的发展建议.厦门港应以"公转水"为主要方向优化运输结构;需重视货源腹地的扩张和货种的优化,争取更大范围货源、更大宗货种,提高其在沿海港口中的地位;同时,应重视货物智能信息化调度平台的建设,提升公路运输时空效率.最后,基于案例展示了将各表征参数应用于港口集疏运通道需求分析的过程.
Highway Transportation Characteristics and Parameters of Container Mainline Ports:a Case Study of Xiamen Port
Highway transportation serves as the primary mode of transportation for container collection and distribution in Chinese ports.Addressing the lack of characterization parameters system and the incon-sistent parameter standards in highway transportation,this paper introduces a framework comprising 12 characterization parameters in three categories:transportation structure,spatial efficiency,and temporal ef-ficiency.Based on the analysis of container highway transportation data of Xiamen Port between 2017 and 2022,the paper examines the influencing factors and representative meaning of each parameter.Through comparative analysis with leading ports in China,the paper highlights Xiamen Port's developmental strengths and weaknesses and provides recommendations for its future strategic development.Xiamen Port is suggested to prioritize to optimize transportation structure,particularly through transitioning from road to maritime transportation.The paper also proposes strategies such as diversifying cargo sources and refin-ing cargo types to broaden the cargo scope and augment volumes,thereby enhancing Xiamen Port's com-petitive position among coastal counterparts.Furthermore,it is advised to foster the development of intelli-gent information dispatch platforms for goods to enhance the spatial and temporal efficiency of highway transportation.Finally,through a case study,the paper demonstrates the application of each characteriza-tion parameter in the demand analysis of port container transportation channels.

container mainline porthighway transportationtransportation characteristicscharacterization parameterslogical inference algorithmXiamen Port

王永清、陈若薇、丁明

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厦门市国土空间和交通研究中心(厦门规划展览馆),福建厦门 361012

集装箱干线港 公路运输 交通特征 表征参数 逻辑推算法 厦门港

2024

城市交通
建设部城市交通工程技术中心 中国城市规划设计研究院

城市交通

CSTPCD
影响因子:1.037
ISSN:1672-5328
年,卷(期):2024.22(3)
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