• Korea Trade Review
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• v.47 no.4
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• pp.35-52
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• 2022

Air transport is at the core of global economic growth. There is a close relationship between the flow of regional elements and the growth of the regional economy. It is easy to misestimate the impact of airports on the regional economy without considering spatial spillover effects. This study attempted to establish an asymmetric economic geographical weight matrix by applying the Spatial Durbin Model with cargo volume and passenger numbers as indicators. The influence of spillover effects on the regional economy, including direct spillover effects and indirect spillover effects are studied. The results revealed that passenger numbers and cargo volume have significant positive spillover effects on the regional economy. The driving effect of the airport on the regional economy was considered from a wider space scope. This study contributes to the scientific evaluation of the aviation economy.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.1
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• pp.1-11
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• 2022

The capacity of Jeju International Airport has reached its limit due to a surge in air traffic demand such as passengers and cargo and the continuous expansion of Low Cost Carriers (LCC). Despite COVID-19 that has began in November 2019, Jeju International Airport still has continuous demand in terms of passenger and cargo transportation. As a result, it is undeniable that the delay rate also unexpectedly increased as the air traffic volume at Jeju International Airport continued to increase. In this study, the correlation between Turnaround Time and delay rates of national airlines is analyzed based on past flight data at Jeju International Airport, and the cumulative delay time trend for sampled airlines is compared with Turnaround Time. Through this study, it is expected to contribute to securing aircraft operation efficiency and on-time by analyzing delays related to Turnaround Time at Jeju International Airport.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.204-206
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• 2022

The global economy and the air transport business have been affected since the spread of the COVID-19 pandemic. As countries tighten restrictions on international movements, the growing emphasis on air cargo puts pressure on airports to maintain and upgrade their cargo policies, facilities, and operations. Hence, ensuring the competitiveness of cargo airports becomes pivotal for airports survival under the volatile global demand. The study aims to evaluate the importance of the competitiveness factors for cargo airports and identify areas for further improvement. The study applies the Best-Worst Method (BWM) to assess the cargo airports' competitiveness factors: 'Transport Capacity,' 'Airport Operations and Facility Capacity,' 'Economic Growth,' 'Financial Performance,' and 'Airport Brand Value.' The selected airports include Heathrow Airport, Aéroport de Paris-Charles de Gaulle, Hong Kong International Airport, and Incheon International Airport. The results identify 'Transport Capacity' as the most significant competitiveness factor, and Hong Kong International Airport the best performing cargo airport. This research forms a reference framework for evaluating cargo airports' competitive position, which may help identify airports' relative strengths and weaknesses. Moreover, this framework can also serve as a tool facilitating the strategic design of airports that may accommodate both air cargo and passenger demand flexibly under the demand uncertainty.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.2
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• pp.36-46
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• 2020

This study is designed to help customers use more comfortable airports by predicting congestion and congestion times by identifying the traffic routes of passengers in the airport building by day of the week and time by using Wi-Fi sensor collectors, one of the IoT technologies. Analysis of passenger traffic analysis data showed that the most congested time zones were from noon. to 2p.m. for all facilities, which could be used to improve major facilities. Regression analysis of factors affecting congestion found that self-check-in reduces congestion and check-in counters increases congestion. These findings will provide important implications for operations, including congestion management at airports.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.4
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• pp.27-35
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• 2018

Recently, Intense competition is expected to bring about continuous change with the rapid global aviation industry. In particular, domestic passenger demand has been steadily increasing over the past five years, with domestic and international shipments growing at a CAGR of 8.4% and 10.0%, respectively. In addition to the economic value of the airport, social interest due to greenhouse gas emissions is also rising. In this study, we analyzed the efficiency of airport operation by using DEA model(Directional Technology Distance Function) considering undesirable output for 14 airports in Korea. As a result of analysis, all airports except Gimhae, Yangyang, Cheongju and Yeosu were analyzed as efficient airports. However, only Gimpo, Gimhae, Jeju, Muan, Daegu and Gwangju were analyzed as efficient airports considering the undesirable output.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.423-426
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• 2019

본 연구의 목적은 서로 다른 지역의 공항서비스품질이 고객만족도에 어떤 영향을 미치는지를 규명하고자 하는 것이다. 서로 다른 지역에 있는 공항의 서비스만족도를 고찰하는 것이다. 더 좋은 공항서비스 제고방안을 제시하려고 하는 것이다. 본 연구는 설문조사를 통해 SPSS와AMOS를 사용해 신뢰도분석, 타당성분석 그리고 구조방정식모형을 통해 통계분석을 실시하였다. 분석결과, 한국 인천공항 측에서 모든 가설 다 유익한 결과가 나타났고, 중국 수도공학 측에서 공항서비스 품질이 고객감지품질에 정의 영향과 감지품질이 고객충성도에 정의 영향을 유의하지 않은 결과를 얻었다.

• Proceedings of the KOR-KST Conference
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• 1995.02a
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• pp.35-56
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• 1995

A methodology to the operation standards of the service performance of airport terminal fadlities using Perception-Response Model is discussed in this paper. The proposed approach has defined as the graphical presentation of the collective attitudes of a category of passengers towards the range of operational service at a facility of airport terminal. It adopts new concepts to establish service standards through special survey, that can achieve better interpretation of capadty and level of service at each facility. It is expressed in terms of perception of the passenger population of different amounts of the service measure and their response to the respective service conditions classified into distinct levels of satisfaction with service. The methodology can provide a practical service standards of airport terminals and may prove to be a practical and convenient technique to airport planners, designers, consultants, operators, and to airport managers.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.211-218
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• 2020

Gwangju Airport and Muan International Airport are planned to merge in 2021 while the aviation market is suffering an unprecedented prolonged crisis due to COVID-19 and therefore it is necessary to revitalize the airport to keep up with the passenger's demands. The study conducts an empirical research survey on the passengers of both airports regarding the importance, satisfaction, and overall satisfaction to derive a strategic marketing direction. The results show that to establish a strategic marketing direction, an urgent improvement is required for all "Commercial Facility and Diversity," "Rest Facility and Comfort," "Facilities for the Transportation Vulnerable," "Latest Facility" factors, and "Air Route Diversity." On the other hand, it is required to stop further investing and improving in "Publicity and Marketing" and "Flight Schedule". The results of this study demonstrate academic and practical importance through the comparison of two IPA models, based on Gwangju Airport and Muan International Airport before their integration, to provide substantive and meaningful marketing strategies.

• Journal of Distribution Science
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• v.11 no.8
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• pp.5-14
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• 2013

Purpose - We live in a world of constant change and competition. Many airports have specific competitiveness goals and strategies for achieving and maintaining them. The global economic recession, financial crises, and rising oil prices have resulted in an increasingly important role for facility investment and renewal and the implementation of appropriate policies in ensuring the competitive advantage for airports. It is thus important to analyze the factors that enhance efficiency and productivity for an airport. This study aims to determine the efficiency levels of 20 major airports in East Asia, Europe, and North America. Further, this study also suggests suitable policies and strategies for their development. Research design, data, and methodology - This paper employs the DEA-CCR, DEA-BCC, and DEA-Malmquist production index analysis models to determine airport efficiency. The study uses data on the efficiency and productivity of the world's leading airports between 2006 and 2010. The input variables include the airport size, the number of runways, the size of passenger terminals, and the size of cargo terminals. The output variables include the annual number of passengers and the annual cargo volume. The study uses basic data from the 2010 World Airport Traffic Report (ACI). The world's top 20 airports (as rated by the ACI report) are investigated. The study uses the expanded DEA Model and the Super Efficiency Model to identify the most effective airports among the top 20. The Malmquist productivity index analysis is used to measure airport effectiveness. Results - This study analyzes longitudinal and cross-sectional data on the world's top 20 airports covering 2006 to 2010. A CCR analysis shows that the most efficient airports in 2010 were Gatwick Airport (LGW), Zurich Airport (ZRH), Vienna Airport (VIE), Leonardo da Vinci Fiumicino Airport (FCO), Los Angeles International Airport (LAX), Seattle-Tacoma Airport (SEA), San Francisco Airport (SFO), HongKong Airport (HKG), Beijing Capital International Airport (PEK), and Shanghai Pudong Airport (PVG). We find that changes in airport productivity are affected more by technical factors than by airport efficiency. Conclusions - Based on the study results, we offer four airport development proposals. First, a benchmark airport needs to be identified. Second, inefficiency must be reduced and high-cost factors need to be managed. Third, airport operations should be enhanced through technical innovation. Finally, scientific demand forecasting and facility preparation must become the focus of attention. This paper has some limitations. Because the Malmquist productivity index is based on the hypothesis of the, the identified production change could be over- or under-estimated. Further, as DEA estimates the relative efficiency. It also cannot generalize to include all airport conditions because the variables are limited. To measure airport productivity more accurately, other input variables and environmental variables such as financial and policy factors should be included.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.4
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• pp.15-24
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• 2014

Low Cost Carrier(LCC)s in Asia Pacific market are expected to record high growth due to the expansion of Open Sky Policy among Korea, Japan, China and South East Asia. As everybody is aware of, LCC is not only saving flight cost but also creates differentiating business model by reducing unnecessary services such as F&B and in-flight duty free sales services. Booming LCCs in Asian market will cause not only Incheon airport but also other local airports in Korea to compete heavily to attract LCCs. For example, Air Asia Group with more than 200 fleet has expanded its alliance network throughout Asia. Therefore this paper has researched a new business model operating a LCC terminal for the hub airport competitiveness. According to analysis result of case study, it was found out, considering increasing airline demand next decade, Incheon airport and other domestic airports in Korea had better change an existing terminal into a LCC Terminal(LCCT) to differentiate airport services and expand its hub network. That is because of economic feasibility, first of all, of securing hub and spoke networking capabilities with airlines and finally of developing commercial facilities customizing LCC passengers' demand.