• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.401-409
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• 2014

This study deals with capacity expansion planning of airport infrastructure in view of economic validation that reflect construction costs and social benefits according to the reduction of passengers' delay time. We first forecast the airport peak-demand which has a seasonal and cyclical feature with ARIMA model that has been one of the most widely used linear models in time series forecasting. A discrete event simulation model is built for estimating actual delay time of passengers that consider the passenger's dynamic flow within airport infrastructure after arriving at the airport. With the trade-off relationship between cost and benefit, we determine an economic quantity of conveyor that will be expanded. Through the experiment performed with the case study of Incheon international airport, we demonstrate that our approach can be an effective method to solve the airport expansion problem with seasonal passenger arrival and dynamic operational aspects in airport infrastructure.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.141-147
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• 2019

Recently, with the development of new technology, media arts in public places have been installed in various forms. Especially, the installation of media arts at the airport is increasing, and it is time to study this. Therefore, this study investigated cases of media art at Incheon International Airport and suggested improvement direction. As a result of analyzing the case of media art in Incheon Airport is follows. First, the airport media art in the future should develop an interactive work that more audience can participate and provide pleasant experience. Second, the contents of the airport media art should be produced not only in various kinds but also as contents representative of the country. Third, it should be produced as a content that can convey the characteristics and images of the country in a storytelling format rather than a short and simple media art collection.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.456-467
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• 2018

This study analyzed the repeated causes of policy failure focusing on Yangyang International Airport cases. Yangyang International Airport, which opened in 2002, was built with about 360 billion won, but it is considered as a representative example of policy failure of local airports. According to the policy failure theory, the failure factors of Yangyang International Airport are anlyzed by rationalistic, political, and environmental complexity viewpoint. The results are as follows. First, from a rationalist point of view, Yangyang Airport failed to achieve the policy goal of securing passengers and revitalizing local economy, This is due to the pressure of politics and the lack of geographical infrastructure. Second, the failure of the stakeholders to resolve conflicts in the flow of politics can be seen as the conflict between the airline and the airport, and the failure to reconcile conflicts between the government and the airports on the low cost airline permits and subsidies. Third, from the viewpoint of environmental complexity, Yangyang International Airport can be regarded as a failure to adapt to environmental changes such as the opening of nearby expressways and railway lines, and the sharp decline of Chinese tourists. This study sugeests the establishment of an independent organization that can prevent unreasonable business promotion by politics in the case of large scale national projects, the linkage with the surrounding infrastructure and related businesses in the case of transportation facilities such as airports and railways, and institutionalization of cooperative governance for coordinating conflict among stakeholders.

• Journal of Distribution Science
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• v.18 no.1
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• pp.27-34
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• 2020

Purpose : In the aviation industry, we will investigate the impact of users' acceptance of technology on their usage behavior and find out the factors that affect their acceptance of technology. We will expand the prior study to find out the impact of the self-service technology of Incheon Airport. Research design, data and methodology : Within the last six months, the survey was conducted on people using self-service technology at Incheon International Airport from July to August 2019. Part 307 of the valid questionnaires were used for this final analysis. The collected data were used to perform frequency, factor, reliability, and multiple regression analyses using the SPSS statistical package. Results : Individual aspects of external variables, service aspects and system aspects have been shown to affect usefulness and perceived ease of use. Also, perceived ease-of-use and usefulness have effects on users' intention to accept technology. Conclusions : The perceived easement and perceived usefulness of Incheon International Airport has been shown to affect self-service users. Increasing the user's self-efficiency and increasing the user's expectations for benefits, convenience, rapid processing, and minimal effort will have a positive meaningful effect on the intention of accepting the technology.

• 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 the Korean Society for Aviation and Aeronautics
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• v.25 no.3
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• pp.51-60
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• 2017

Estimation of the taxi-out and taxi-in times of aircraft on a airport surface is one of the essential features of Departure Manager (DMAN). Especially for an airport with multiple runways and large ramp areas, estimation of the taxi-out and taxi-in times are mainly dependent on the taxi routes on airport surface. This paper described the method of automatic extraction of the the taxi routes using the ASDE track data and the Dijkstra algorithm based on the node-link model of a airport surface movements. In addition, we analyzed the ground operation status of Incheon International Airport using the extracted taxi routes.

• Asian Journal of Atmospheric Environment
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• v.6 no.2
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• pp.118-126
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• 2012

To investigate the effect of aircraft traffic emissions on soil pollution, metal levels were analyzed for 8 metals (Fe, Cr, Pb, Zn, Cu, Ni, Mn and Cd) from the vicinity of the Indira Gandhi International (IGI) airport in Delhi, India. The texture of the airport soil was observed to be sandy. Among the metals, Cd showed minimum concentration ($2.07{\mu}g\;g^{-1}$), while Fe showed maximum concentration ($4379{\mu}g\;g^{-1}$). The highest metal accumulation was observed at the landing site. Significant correlations were observed between metals and different textures (sand, silt, and clay) as well as with organic carbon (OC). The results indicate that grain size play a major role in OC retention in soil and subsequently helps in adsorption of metals in soil. M$\ddot{u}$ller's geoaccumulation index (I-geo) showed that airport soil was contaminated due to Cd and Pb with the pollution class 2 and 1, respectively. Pollution load index of the airport site was 1.34-3 times higher than the background site. The results of factor analysis suggested that source of the soil metal is mainly from natural weathering of soil, aircraft exhaust, and automobile exhaust from near by area. With respect to Dutch target values, the airport soils showed ~3 times higher Cd concentration. The study highlighted the future risk of enhanced metal pollution with respect to Cd and Pb due to aircraft trafficking.

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.7-18
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• 2004

There have been various research in analyzing airport productivity such as measuring total factor productivity using the models of translog cost function. DEA(Data Envelopment Analysis) model is very useful in measuring productivity with linear programming when the output is not clearly identified and measured quantitatively in such complex facilities as airport. This study is to measure airport productivity using DEA approach for Northeast Asia. Seven international airports were analyzed including Incheon International Airport in Korea, Cheklapkok Airport in Hongkong, Narita Airport in Japan, and Changi Airport in Singapore. With the productivity measured, we can identify one of the important aspects of comparative advantage in hub competition in Asia.

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.544-555
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• 2016

Organizations of airport continue to invest heavily in the acquisition of self-esteem. Because, it is that self-esteem will become more productive. In this article, We verify to influence in the operation performance by the air navigation system and moderated effect of self-esteem. A survey of Incheon International Airport and Gimpo International Airport was conducted to better understand the factors that affect air navigation system to explain operation performance of airport perspective on air navigation system operator. The findings indicate that the positively moderated self-esteem affects operation performance of airports. We also confirmed that air navigation policy, maintenance, and promotion activities of air navigation system factors are affecting the operation performance of airports. The results of this study suggest that self-esteem could be the basis for a strong measurement tool to evaluate whether self-esteem in a given organization of airport are meeting enhancement of operation performance.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.24 no.1
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• pp.62-70
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• 2016

Perception of outsource workers among Incheon Int'l airport employees was reviewed about the service performances of winning the ASQ awards in 11 consecutive years. 85% of Incheon airport operating authority(Incheon International Airport Corp.) and its outsource companies employees was composed of outsource workers. Thus, their thoughts might represent the overall perception of airport operating authority employees. The perception on the service performances of winning the ASQ awards was analyzed by researchers using attribution theory model. It is useful to apply attribution modeling in order to analyze the causal relationships among variables. Attribution is the process by which individuals explain the causes of behavior and events. Attribution theory is the study of models to explain those processes. According to empirical analysis, it was found outsource workers attributed the excellent service performance of Incheon airport to such an internal factor as service competence. However it was also implied they attributed to such external factors as the positive relationship and institutional support from airport and government authorities.