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

Authors :
Babagolzadeh, Mahla
Zhang, Yahua
Abbasi, Babak
Shrestha, Anup
Zhang, Anming
Source :
Transport Policy. Nov2022, Vol. 128, p38-51. 14p.
Publication Year :
2022

Abstract

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. • Subsidy programs are proposed to shift airfreights from metropolitan airports to regional airports. • The vehicle routing problem model is used to evaluate the effects of the subsidy schemes. • A case study of Australia is presented. • A non-linear subsidy provides a better performance from the economic and delivery time perspectives. • A linear subsidy is preferred to reduce cargo traffic at metropolitan airports. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0967070X
Volume :
128
Database :
Academic Search Index
Journal :
Transport Policy
Publication Type :
Academic Journal
Accession number :
159577185
Full Text :
https://doi.org/10.1016/j.tranpol.2022.08.014