Modelling the choice of shippers on inland river ports for in a multi-modal transportation network

TAN Zhijia, ZENG Xianyang, MENG Qiang

Systems Engineering - Theory & Practice ›› 2022, Vol. 42 ›› Issue (5) : 1391-1401.

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Systems Engineering - Theory & Practice ›› 2022, Vol. 42 ›› Issue (5) : 1391-1401. DOI: 10.12011/SETP2021-0266

Modelling the choice of shippers on inland river ports for in a multi-modal transportation network

  • TAN Zhijia1, ZENG Xianyang1, MENG Qiang2
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Abstract

The determination of port hinterland is an important basis for port location, function and scale positioning. Different from the traditional quantitative analysis method based on geographical distance, this paper first constructs a continuous-discrete network structure. In this way, we can simultaneously consider the topological characteristics of dense urban roads, sparse highway network and discrete water transport system and the spatial continuously distribution of shipment demand. Therefore, the generalized transportation cost can be calculated to capture the cumulative choice probability of shippers on routes and ports in multi-modal transport network, which plots the hinterland of each inland river port. Taking the Yangtze River economic belt as an example, we find that the port hinterland is no longer a geographical neighbourhood of the port, but diffuses along the highway entrances and exits. This study enriches the traditional model of port hinterland analysis. The method proposed in this paper is conducive to the planning of port location and function positioning, and the formulation of competitive strategy between port and shipping enterprises.

Key words

inland ports / hinterland / continuous-discrete network / multi-modal transportation

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TAN Zhijia , ZENG Xianyang , MENG Qiang. Modelling the choice of shippers on inland river ports for in a multi-modal transportation network. Systems Engineering - Theory & Practice, 2022, 42(5): 1391-1401 https://doi.org/10.12011/SETP2021-0266

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Funding

National Natural Science Foundation of China (71471068, 71871037, 71831002)
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