4.7 Article

Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem

期刊

TRANSPORT POLICY
卷 128, 期 -, 页码 38-51

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.tranpol.2022.08.014

关键词

Airfreight distribution; Regional development; Subsidy schemes; Open vehicle routing problem (VRP); Sustainability

向作者/读者索取更多资源

This study evaluates the effectiveness of subsidy programs in shifting airfreight from major metropolitan airports to regional airports in Australia, proposing an optimization approach. Results show that subsidies can reduce total costs, with non-linear subsidies performing better economically and in delivery time, while linear subsidies are more suitable for reducing cargo traffic at major metropolitan airports.
The major metropolitan airports in Australia have become increasingly congested, resulting in substantial increases in operational costs and waiting time at these airports. This paper assesses the effectiveness of subsidy programs in shifting airfreight from metropolitan airports to regional airports assuming the vehicle routing problem approach is used to optimise the downstream (i.e., road) logistics. We analyse the freight distribution network structure and logistics decisions under two (government) subsidy scenarios. We develop a mixed integer linear programming model incorporating the time-window and release-time constraints. A case study in Australia is used to illustrate the application of the proposed framework. The results show that introducing subsidies can effectively reduce the total costs from the prospective of industries involved in the airfreight distribution. The subsidy program under a non-linear subsidy provides a better performance from the economic and delivery time perspectives. However, if the primary goal is to reduce the volume of cargo traffic at the metropolitan airport, a linear subsidy program is preferred.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据