THE APPLICATION OF THE ARIMA MODEL IN FORECASTING THE PASSENGER TRAFFIC ON THE EXAMPLE OF BORDER CROSSINGS BETWEEN THE SUBCARPATHIAN PROVINCE AND UKRAINE

D. Dejniak
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Abstract

Accession of Poland to the European Union meant that its eastern border became the external frontier of the Community. The next step in the European integration was joining the Schengen Zone by Poland. Polish citizens may freely travel throughout the Schengen Zone and the state was obliged to tighten its eastern border. Under these circumstances conducting research on passenger traffic has become a vital issue, with particular focus on the eastern frontier. In the article an attempt is made at examining the possibility of forecasting passenger traffic on the example of border crossing points between the Subcarpathian Province and Ukraine using the ARIMA models. Confirmation of these possibilities seems to be crucial as the number of people crossing the border is characterized by high variability and sensitivity to the political situation. The study is based on the information provided by the Polish Border Guard. The conducted time series analysis is of a multi-purpose character. It may be used to support decision making processes of investment, organizational, as well as socio-political nature.
arima模型在喀尔巴阡亚省与乌克兰边境口岸客流量预测中的应用
波兰加入欧洲联盟意味着它的东部边界成为共同体的外部边界。欧洲一体化的下一步是波兰加入申根区。波兰公民可以在申根区自由旅行,国家不得不收紧其东部边境。在这种情况下,对客运进行研究就成为一个至关重要的问题,特别是对东部边境进行研究。本文试图以萨喀尔巴阡省和乌克兰之间的过境点为例,探讨利用ARIMA模型预测客流量的可能性。确认这些可能性似乎至关重要,因为越过边界的人数具有高度可变性和对政治局势敏感的特点。这项研究是根据波兰边境警卫队提供的资料进行的。所进行的时间序列分析具有多用途的特点。它可用于支持投资、组织以及社会政治性质的决策过程。
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