• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.7-15
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• 2011

Recently, airport competitiveness measure is not only passenger and cargo throughput but also value-added activities of their hinterland and airport city. That is, airport competitiveness comes from airport versus airport to airport with their own-supplied city and hinterland connected with airport to provide diversified functions. This study surveyed and analyzed how to form a cluster focused on Incheon International Airport and what are important factors to form of cluster in achieving competences. These clusters need government's political support. In this case, there was a shortage of specialized human resources in competent local suppliers, and limited informations sharing.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.402-408
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• 2003

Now many major airports in the world which operate strategic alliance or Hub & Spoke system have met capacity restriction and confusion problems. And the time and the walking distance for boarding to flight are important standard to measure customer convenience. And the effective gate assignment guarantees customers convenience as well as increasing airport capacity without expanding established airport equipments. So it can be a major concern to manage airports. So this paper formulate gate assignment problem in the hub airport not quadratic assignment problem but a improved single-period integer problem which is minimize local and transit passengers I walking distance. As a result, this study will present a method producing optimal gate assignment result using optimization software. We use real flights and gates data in the national airport, so we will compare a assignment results with a real airport assignment results and previous researches and analyze those results.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.237-241
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• 2015

After it first opened in 2001, Incheon International Airport (IIA) has grown into a world-class airport, leaving remarkable traces, such as being the first airport to win the ASQ Airport Serivce Price for 10 consecutive years. However, ever since its birth IIA has tried to position itself as the leading hub airport of Northeast Asia. Until this day, it has not been meeting this goal, with transfer passenger numbers and transfer rates decreasing recently. This study looks at the outer environment to discover which factors affect IIA's transfer market. Through extensive research on external analysis, the study will eventually provide a counter strategy guideline for fighting back against decreasing transfer usage.

• Proceedings of the Korean Geotechical Society Conference
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• 1997.05a
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• pp.189-218
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• 1997

• Korean Architects
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• s.508
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• pp.50-51
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• 2011

• Korean Architects
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• s.508
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• pp.52-53
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• 2011

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.165-170
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• 2019

According to the statistics of the Ministry of Land Transport and Transportation in 2018, the average annual average number of air traffic users for has increased by 5.07% for domestic flights and 8.84% for international flights. Korea is facing a steady rise in demand from foreign tourists due to the Korean Wave. At the same time, a new lifestyle that values the quality of life of individuals is taking root, along with the emergence of LCC, and Korean tourists' overseas tours are also increasing, so improvement and expansion of domestic airport passenger terminals is urgently needed. it is important to develop a structured airport infrastructure by making efficient and accurate forecasts of aviation demand. in this study, based on the Big Data, long-term domestic and international demand forecasts for urban airports were conducted.. Domestic flights will see a decrease in the number of airport passengers after 2028, and international flights will continue to increase. It is imperative to improve and expand passenger terminals at domestic airports.

• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.65-92
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• 2017

Purpose: The performance of global major airports is evaluated and several research questions are examined relative to the measures characterizing airport performance. Methods: The two-stage internal structure of airport performance is considered by decomposing it into physical operations and revenue generation. In the physical operations stage, operating costs, number of runways, terminal area and number of employees are used as inputs, while passenger throughput, cargo throughput and aircraft movements are taken as outputs. Subsequently, in the revenue generation stage, the outputs from the preceding stage are taken as inputs, while revenue is used as output. Results: Based upon this two-stage modeling of airport performance, a multiplicative two-stage network data envelopment analysis model is employed to calculate the overall and stage efficiencies of 59 airports using the recent data in the 2014 Airport Benchmarking Report published by the Air Transport Research Society. Several internal and external factors are also considered such as airport size, airport geographical location, proportion of international passengers, ownership (listed or not) and management style, and statistical analysis is performed to examine their impacts on airport performance. Conclusion: It is shown that the airports exhibit statistically significant difference across regions, and also some statistically significant factors affecting airport performance are identified.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.87-95
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• 2020

The Incheon airport is a gateway to and from the Republic of Korea and has a great influence on the image of the country. Therefore, it is necessary to predict the number of airport passengers in the long term in order to maintain the quality of service at the airport. In this study, we compared the predictive performance of various time series models to predict the air passenger demand at Incheon Airport. From 2002 to 2019, passenger data include trend and seasonality. We considered the naive method, decomposition method, exponential smoothing method, SARIMA, PROPHET. In order to compare the capacity and number of passengers at Incheon Airport in the future, the short-term, mid-term, and long-term was forecasted by time series models. For the short-term forecast, the exponential smoothing model, which weighted the recent data, was excellent, and the number of annual users in 2020 will be about 73.5 million. For the medium-term forecast, the SARIMA model considering stationarity was excellent, and the annual number of air passengers in 2022 will be around 79.8 million. The PROPHET model was excellent for long-term prediction and the annual number of passengers is expected to be about 99.0 million in 2024.

• Journal of Korean Society of Disaster and Security
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• v.13 no.2
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• pp.11-25
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• 2020

This study is a basic study to improve responsiveness in the event of a disaster in the landside area of the Airport Passenger Terminal, and it investigated the airport emergency plan and the status of emergency response in the event of a disaster by the airline's ground staff. The Airport Emergency Plan examined the airport evacuation plan of Korea's Gimpo Airport and Japan's Ministry of Land, Infrastructure, and Transport, confirming that the domestic airport emergency plan was not specific. In addition, a survey of 100 airline ground employees working at check-in counters found that 69% of the respondents were unaware of their role in disaster situations, 90% were not educated in emergency response and 98% were not trained in disaster training in landside areas. Cross-analysis confirmed significant results in the safety of the airport where the service life worked and whether it was a role in the event of a disaster. Therefore, it is suggested that the airport emergency response plan should be improved to improve the ability to respond to disaster sites in the landside area of the airport passenger terminal and that the airline's ground staff should be educated and trained to enhance disaster response.