• 한국항공운항학회지
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• 제27권4호
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• pp.44-51
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• 2019

This study analyzes the trade patterns that occur between Korea and ASEAN countries through air transport, one of Korea's trade transport methods. In order to understand the detailed characteristics of the air transport sector, the dependent variables were analyzed by dividing them into amount and weight. As a result, the amount of exports, imports, and trade was proportional to GDP per capita representing income level, and inversely proportional to GDP representing national economic power. In terms of air transport weight, exports, imports and trade were all proportional to GDP representing economic power and inversely proportional to GDP per capita representing income levels. In addition, the national area acted as a factor to reduce the trade volume, and the number of airports and inland countries did not show any significant results.

• 한국항공운항학회지
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• 제28권4호
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• pp.117-124
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• 2020

This study empirically analyzed air transport trade patterns using data for 30 years between Korea and its trading partners in order to identify specific factors that determine the size of Korea's air transport trade. Independent variables were GDP per capita, capital distance between countries, country area data and number of airports. In addition, it reflected whether it is a landlocked country and whether it has joined the OECD, APEC and ASEAN+3. According to the results of the analysis, it was found that the air cargo trade pattern in Korea is proportional to GDP per capita, and the scale increases as the distance is closer. In addition, the national area and the airport capital acted as a factor in increasing air transport trade. However, whether a country is a landlocked country did not show significant results in terms of trade, exports, and imports. The OECD, APEC, and ASEAN+3 variables were found to generally increase air transport trade.

• 한국항공운항학회지
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• 제30권3호
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• pp.86-91
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• 2022

This study empirically analyzes the patterns of import and export of air cargo between Korea and EU member states. In order to understand the detailed characteristics of the air transport sector, the amount of trade was analyzed by dividing it into exports, imports, and trades. As a result of the analysis, in terms of exports, imports, and trade, both EU member states' GDP per capita and Korea's GDP showed positive directions, while EU member states' GDP and Korea's per capita GDP both showed negative directions. In addition, international oil prices and exchange rates, which were expected to have an effect on aviation trade, did not show significant results in this study. On the other hand, when applying the fixed-effect model, both the country area and the number of airports excluded from the analysis were analyzed as positive directions as a result of the Houseman Taylor analysis.

• 한국항만경제학회지
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• 제37권1호
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• pp.71-85
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• 2021

기업이 물류비용을 절감할 수 있는 정교한 수요 예측 모형은 그동안 수많은 연구를 통해 다양한 방법들이 제시되었다. 이러한 연구들은 주로 수요 패턴에 의해서 적용 가능한 수요 예측 모형을 결정하고, 통계적 검증을 통해서 모형의 정확성을 판단하였다. 수요 패턴은 크게 규칙성과 불규칙성으로 나뉘어 질 수 있다. 규칙적인 패턴은 주문이 정기적이고 주문량이 일정한 경우를 의미한다. 이러한 경우에는 주로 회귀모형이나 시계열 모형을 통해서 수요를 예측하는 방법들이 사용된다. 그러나 불규칙적이고 주문량의 변동 폭이 큰 경우는 간헐적 수요(Intermittent Demand)라고 하는데, 기존의 회귀 모형이나 시계열 모형으로는 수요 예측의 오류 발생 가능성이 높기 때문이다. 간헐적 수요를 보이는 품목에 대해서는 주로 Croston모형 혹은 Holts모형 등을 사용하여 수요를 예측한다. 본 연구에서는 간헐적 수요 패턴을 보이는 항공 화물의 다양한 품목에 대해서 수요 패턴을 분석하고, 다양한 모형을 통해 수요를 예측하여 각 모형의 예측력을 비교 분석하였다. 이 과정에서 항공 화물의 품목별, 지역별로 다양한 모형의 적합도를 분석하여 항공사가 가장 효율적으로 운영할 수 있는 항공 화물의 수요 예측 모형에 대한 개발 방향을 제시하고자 함이 본 논문의 목적이다.