Developing a sustainable road-rail multimodal distribution network for improved animal welfare and meat quality under carbon tax in Queensland, Australia

IF 2.4 Q3 TRANSPORTATION
Mahla Babagolzadeh , Yahua Zhang , Hang Yu , Jianming Yong , Tarryn Kille , Anup Shrestha
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引用次数: 0

Abstract

There have been ongoing calls for reviving the rail system in Australia to transport cattle and meat products which is thought to be more reliable transport mode than road transport. This paper aims to develop a decision support model for the road-rail network for meat and cattle transportation. This model considers animal welfare, traffic congestion, and meat quality loss due to the delay of transportation as well as the effects of a carbon tax. The proposed model generates an optimal network configuration in which each leg of the journey is conducted by the most reliable and efficient transport mode. We implement this model using the meat and cattle supply chain case of Queensland that that comprises production regions, terminals, abattoirs, seaports and distribution centers. The results indicate that the road–rail multimodal network would be preferred if animal welfare issues were prioritised. Our decision support model is expected to support policy makers in making decisions to design a transport network with optimum balance of economic and environmental goals.

开发可持续的公路-铁路多式联运配送网络,改善澳大利亚昆士兰州碳税下的动物福利和肉类质量
人们一直呼吁恢复澳大利亚的铁路系统,以运输牛和肉类产品,因为铁路被认为是比公路运输更可靠的运输方式。本文旨在为肉牛运输的公路-铁路网络开发一个决策支持模型。该模型考虑了动物福利、交通拥堵、运输延迟造成的肉质损失以及碳税的影响。所提出的模型可生成最佳网络配置,其中每段旅程都由最可靠、最高效的运输方式完成。我们利用昆士兰州的肉牛供应链案例实现了这一模型,该供应链由生产区、码头、屠宰场、海港和配送中心组成。结果表明,如果优先考虑动物福利问题,公路-铁路多式联运网络将是首选。我们的决策支持模型有望为决策者提供决策支持,帮助他们设计出经济与环境目标达到最佳平衡的运输网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
12.00%
发文量
222
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