物流大通道的形成机理与识别方法
Formation Mechanism and Identification Method of Logistics Corridors
物流大通道是国家综合立体交通网的重要功能系统,是国内国际双循环相互促进的基础。为更加精准识别物流大通道,通过国内外概念辨析进一步明确物流大通道的定义,研究提出物流大通道的形成是以交通运输基础设施网络化发展为根本依托,是网络成分互补的横向整合和节点集聚的纵向整合共同作用的结果,其表征是枢纽点极化、通行量规模化。在此基础上,明确了“先找点、后定线”的识别思路,提出以区位熵定“点”、最大树(边)定“线”为核心的基于城市、交通和经济数据的识别方法,通过多源数据收集、节点识别、线路识别、通道汇集、通道识别,最终提出“八纵七横”的物流大通道布局。相比于传统方法,选点定线的识别方法精度更高,能够进一步展示货物流向、运输结构、货运规模等运行特征,并为开展物流大通道与经济发展相关分析提供了可能。
Logistics corridors are important functional systems of the comprehensive national transport network, serving as the foundation for the mutual promotion of domestic and international dual circulation. In order to identify logistics corridors more accurately, the definition of logistics corridors is further clarified through the analysis of domestic and foreign concepts. This paper proposed that the formation of logistics corridors was fundamentally based on the networked development of transportation infrastructure, and was the result of the horizontal integration of complementary network components and the vertical integration of node clustering, which was characterized by the polarization of hub points and the large-scale of traffic volume. On this basis, the identification idea of "finding points first, locating routes later" was clarified. With the core idea of determining "points" with location entropy and "lines" with maximum tree(edge), an identification method based on city, traffic and economic data was proposed. Through multi-source data collection, nodes identification, routes identification, corridors gathering and corridors identification, a "eight vertical and seven horizontal" logistics corridor layout was put forward finally. Compared with traditional methods, the identification method of points selection and routes determination has higher accuracy, which can further show the operation characteristics such as cargo flow direction, transportation structure, freight scale, etc., and provide the possibility to carry out the correlation analysis on logistics corridors and economic development.
物流大通道 / 形成机理 / 识别方法 / 区位熵 / 最大树
logistics corridors / formation mechanism / identification method / location entropy / maximum tree
| [1] |
王武岗. 物流通道的形成及演进机理研究[J]. 物流工程与管理, 2014(4):7-8,74.
|
| [2] |
龚国清, 朱全军, 杨康, 等. 基于联网收费数据的湖南省高速公路物流通道供需适应性研究[J]. 公路工程, 2024(2):166-173.
|
| [3] |
唐占峰, 朱雨凤, 王翰, 等. 浙江省物流通道空间布局优化[J]. 物流技术, 2021(10):6-10.
|
| [4] |
周凌云, 穆东. 基于变权的物流通道方案模糊决策模型[J]. 武汉理工大学学报(交通科学与工程版), 2010, 6(5):1061-1064.
|
| [5] |
丁以中. 物流通道构建中节点和边的选择技术[J]. 上海海运学院学报, 2003, 24(2):97-102.
|
| [6] |
张必清. 丝路经济带跨国物流通道的战略布局[J]. 开放导报, 2014(6):49-53.
|
| [7] |
胡严艺, 李斐, 祁明明, 等. 基于枢纽经济特征的国际多式联运物流通道布局研究[J]. 中国储运, 2021, 12(8):91-93.
|
| [8] |
商霖. 物流通道概念的动态研究[J]. 物流工程与管理, 2013, 35(6):11-13.
|
| [9] |
张文尝, 金凤君, 荣朝和, 等. 空间运输联系[M]. 北京: 中国铁道出版社.1992.
|
| [10] |
交通运输部科学研究院. 推进我国区域交通物流一体化建设的思路研究[R]. 北京: 交通运输部科学研究院, 2018.
|
| [11] |
交通运输部规划研究院, 交通运输部科学研究院. 推进物流大通道发展多式联运思路及方案[R]. 北京: 交通运输部规划研究院, 2017.
|
| [12] |
周祥, 陈一骏. 大道定理在城市主干路间距分析中的应用[J]. 现代交通技术, 2012, 9(1):68-70.
|
| [13] |
Institute for Transportation and Development Policy. More development for your transit dollar: An analysis of 21 North American transit corridors[R]. New York: ITDP, 2013.
|
| [14] |
吴明, 张瑗媛, 李旭宏. 基于经济联系势能模型的沪宁综合运输通道规划研究[J]. 公路交通科技, 2010, 15(10):157-162.
|
| [15] |
交通运输部科学研究院. 中国货运主通道高效绿色发展行动计划[R]. 北京: 交通运输部科学研究院, 2023.
|
/
| 〈 |
|
〉 |