Strategic Forecast for Rail Freight Transport in Romania using the Relevant Tree Method and Scenario Method

IF 0.8 Q4 NEUROSCIENCES
Desdemona Isabela Scarisoreanu, L. Ghiculescu
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引用次数: 0

Abstract

The paper focuses on the use of strategic forecasting using the Relevant Tree Method and the Scenario Method for rail freight transport in order to achieve the objectives established in the European Green Deal. The Relevant Tree Method shows that the solution for stimulating rail freight traffic in Romania consists in increasing the allocation of funds for the modernization works of the railway infrastructure. Thus, an important part of the internal freight traffic will be transferred from the road system to the railway. “The modernization of the railway infrastructure involves major works to modify the infrastructure, which will improve its overall performance”, according to the Law 202/2016. On the other hand, the emergency plan resulting from the use of the Scenario Method shows that if the conditions for the development of the external environment for the organizations in the rail freight transport sector end up being very favourable, it is required to adopt some measures in time, for the employment personnel in this sector, so as to increase the competences of organizations in this field. Thus, it is necessary to grant motivating salary packages, which also include professional training programs, as well as capitalizing on access to know-how, which will be favoured by European funds. This will avoid the wear and tear of locomotives and wagons, but also of equipment and installations.
基于相关树法和情景法的罗马尼亚铁路货运战略预测
本文侧重于使用相关树方法和情景方法对铁路货运进行战略预测,以实现欧洲绿色协议中确立的目标。相关树法表明,刺激罗马尼亚铁路货运量的解决方案是增加铁路基础设施现代化工程的资金分配。因此,国内货物运输的重要组成部分将从公路系统转移到铁路系统。根据第202/2016号法律,“铁路基础设施的现代化涉及改造基础设施的重大工程,这将改善其整体性能”。另一方面,运用情景法得出的应急预案表明,如果铁路货运部门组织的外部环境发展条件最终非常有利,则需要及时采取一些措施,对该部门的就业人员采取措施,以提高该领域组织的能力。因此,有必要提供激励性的薪酬方案,其中还包括专业培训计划,以及利用获得专门知识的机会,这将受到欧洲基金的青睐。这将避免机车和货车的磨损,也避免设备和装置的磨损。
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
自引率
47.80%
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审稿时长
2 weeks
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