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A NETWORK-BASED INVESTIGATION OF THE OPTIONS FOR REVIVING AIR CARGO ALLIANCES

机译:基于网络的航空货运联盟选择调查

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In anticipation of the next trade upturn in the economy, this paper focuses on acargo airline’s options for forming a strategic alliance with other scheduled carriers. We seekto examine these options using a network-based investigation method in the context of theDLR air cargo model, currently under development.The paper is organized as follows: The theoretical section reviews the relatively short historyof freight alliances among airlines, discussing both the formation and decay of this type ofcooperation. The second part of our paper presents a conceptual framework for data-drivenanalyses, including a timetable, capacity determination, and O&D service level evaluation fordifferent hypothetical “alliance matching scenarios” - in contrast to go-it-alone strategies.Preliminary computation results for the Top 20 league demonstrate how joint operations -below the threshold of a merger - may be preceded by the implementation of a network model,thus supporting the decision-making process by delineating the possible outcomes in terms ofmarket coverage and cost levels.
机译:预期下一次经济贸易回升,本文着重于 货运航空公司与其他预定航空公司结成战略联盟的选择。我们寻找 在网络环境中使用基于网络的调查方法来检查这些选项 DLR航空货运模型,目前正在开发中。 本文的组织方式如下:理论部分回顾了相对较短的历史 航空公司之间的货运联盟,讨论这种类型的 合作。本文的第二部分介绍了数据驱动的概念框架 分析,包括时间表,容量确定和运维服务水平评估 不同的假设性“联盟匹配方案”-与“单打独斗”策略相反。 排名前20位的联赛的初步计算结果证明了联合作战- 低于合并的门槛-可能要先实施网络模型, 从而通过从以下方面描述可能的结果来支持决策过程 市场覆盖率和成本水平。

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