4.7 Article

Optimal subsidy scheme design for promoting intermodal freight transport

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2021.102561

Keywords

Container subsidy; Intermodal transport; Waterway transport; Bilevel programming

Funding

  1. Research Grants Council of Hong Kong [15224317]
  2. Hong Kong Polytechnic University [P0001008]

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This paper investigates the optimal container subsidies for shippers to promote intermodal shipping involving waterways in a regional transportation network. A case study suggests that an optimally designed subsidy scheme can increase the intermodal split of container transport by 16%.
Waterborne transport is known to have low environmental impacts compared to other modes. This paper investigates the optimal container subsidies for shippers to promote intermodal shipping involving waterways in a regional transportation network. We consider a linear subsidy scheme consisting of a fixed-rate component and a variable component proportional to the sailing distance. The optimal subsidy design problem is formulated as a bilevel program to maximize the intermodal transport split of demand and minimize the subsidy expenditure. Faster methods are developed to solve the optimization problems of two special subsidy forms, i.e., fixed-rate and distance-based schemes. A case study of the Pearl River Delta region in China suggests that an optimally designed subsidy scheme can increase the intermodal split of container transport by 16%. Many insights are unveiled from the case study regarding the performance comparison between different subsidy schemes, the optimal schemes' environmental impacts, and their ef-fects on individual shippers and feeder ports. For example, the subsidy is less effective for ship-pers originating too far from or too close to the hub port and for highly time-sensitive or time- insensitive goods. Moreover, two commonly-used objectives, maximizing the intermodal split and minimizing the CO2 emissions, are well aligned as they yield similar solutions. These insights can assist the local governments in determining the appropriate subsidy schemes and better understanding their overall effects.

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