• Journal of Distribution Science
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• v.22 no.6
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• pp.69-81
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• 2024

Purpose: Small airports are social and economic enablers and facilitate businesses and individuals. They contribute significantly to the distribution and logistics of the local produce - be it goods or services, thereby impacting the economy but have limited access to funds and poor management restricts their development. Despite the importance, small airports in small cities struggle financially as they are unable to earn profits and have higher operating costs. In other words, this is a paradoxical situation for small airports wherein, despite losses, the regional or national public authorities still finance such airports under socio-economic obligations. Therefore, this study aims to identify the critical success factors for improving small airports' performance and propose a business model. Research design, data and methodology: Using the qualitative research, interviews with 16 stakeholders from Guwahati, Tirupati, Bhubaneswar and Dehradun airports in india were examined. Results: The analysis reveals strategic planning and low cost, non-passenger services, and development of airport economic region as the main factors contributing towards small airports' success. Additionally, providing logistics to the local businesses and creating niche markets are suggested. Conclusions: Small airports, based on their services and the means of targeting customers, could select the relevant approach to improve their overall performance and improve profitability.

• Convergence Security Journal
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• v.20 no.4
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• pp.217-225
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• 2020

In recent years, the "social distance" has drastically reduced overseas travelers. On the other hand, for personal safety and security, it is expected that interest and demand for CCTV, electric alarm and signaling devices, electric diagnostics and medical devices will increase significantly. The purpose of this paper is to find out the effect of airport transfer passengers and exports of CCTV, electrical diagnostics and medical devices, electrical alarms and signaling devices on exports to Korea, and the synchronism of each variable. To this end, this study used a total of 231 monthly data from January 2000 to April 2020 in the National Statistics Service. As a result of empirical analysis, CCTV and electrical diagnostics and medical devices showed relatively high synchronization with respect to exports to Korea. Electric alarms & signaling devices and transit passengers also showed a certain level of synchronization with exports, but were relatively weak.

• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.87-106
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• 2013

This study is to explore the airline network patterns of Incheon and Narita International Airports using passenger flight departure and arrival data of the two airports. The so-called Origin-Destination data is collected from the airports' websites and some of the important data items are flight number, city of origin, destination city, departure/arrival time, number of flights, and delay time. A snowflake schema dimensional model is proposed and implemented. Tableau Public, a well-known visual analytic tool, is used to connect the dimensional model and played an important role in navigating the data space to find interesting and visual patterns among corresponding airports and airlines. For the efficiency of analyzing this spacious data mart, data visualization method was used. Four types of visualization method proposed by Yau was used; visualizing patterns over time, visualizing proportions, visualizing relationships, and visualizing spatial relationships. The strength of connectivity of each flight segments is calculated to evaluate the degree of globalization of Seoul and Tokyo. We anticipate that various patterns and new findings produced by the data mart would provide airline managers, airport authorities, and policy makers in the field of travel and transportation with insightful information.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.1
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• pp.69-80
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• 2019

The purpose of this study is to investigate factors that affect menu navigation time and consumer trust in food and beverage(F&B) restaurants to analyze the menu's effect on impulse buying behavior. Based on the results of the analysis, this paper derives theoretical and practical implications to improve the growth and development of F&B restaurants located in airports. According to empirical analysis, it was proven menu browsing time has been found to strongly influence passengers' impulsive order behavior. A passenger with a strong "consumption ability" navigates the menu for a longer period, which increases the likelihood of impulsive purchases. Service appeal also has a significant influence on menu navigation time. Third-party certification did not appear to help build passenger confidence, thus yielding contradictory results compared to previous studies. Word of mouth had the strongest influence on trust formation. Finally, when passengers were satisfied with the menu items of F&B restaurants they had previously ordered, they tended to believe that the menu items they had not tried would also be good. In sum, impulsive menu orders have a direct impact on the profitability of F&B restaurants.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.117-127
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• 2008

After the deregulation of the aviation market in the United States in 1978, airlines took advantage of the possibilities of the liberalized market and reorganized their networks. Then, the hub-and-spoke networks became widely used in the aviation market. The framework of hub-and-spoke network made it feasible to amplify flight networks. Thus, a number of airlines were able to fly to more destinations than ever before through the networks. Amplification of networks can be implementing through the transfer of passengers, transshipment of cargo, or both most researches have been concentrated on the passenger aspect at airports worldwide. Air cargo, however, has become one of the most significant areas at hub airports to keep their leading position in terms of the provision of services and handling volumes. This paper investigates the connectivity of airfreight networks as the temporal concentrations in current network at Incheon International Airport. In order to evaluate airline flight schedule effects to stimulate hubbing at an airport, the indirect connectivity can be considered to be the number of direct frequencies, the minimum connecting times and the quality of the connection determine indirect connectivity. Therefore the connectivity of freight transshipment depends on both the quality of the connection at the hub airport and the quality of the indirect flight compared to the direct flight. In addressing these issues, this paper analyzes the connectivity of flight schedules using a temporal wave-system structure and estimates the degree of connectivity and quality of connectivity applying the NETSCAN model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.13-21
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• 2017

Airline schedules are highly dependent on various factors of uncertainties such as unfavorable weather conditions, mechanical problems, natural disaster, airport congestion, and strikes. If the schedules are not properly managed to cope with such disturbances, the operational cost and performance are severely affected by the delays, cancelations, and so forth. This is described as a disruption. When the disruption occurs, the airline requires the feasible recovery plan returning to the normal operations in a timely manner so as to minimize the cost and impact of disruptions. In this research, an Ant Colony Optimization (ACO) algorithm with re-timing strategy is developed to solve the recovery problem for both aircraft and passenger. The problem consists of creating new aircraft routes and passenger itineraries to produce a feasible schedule during a recovery period. The suggested algorithm is based on an existing ACO algorithm that aims to reflect all the downstream effects by considering the passenger recovery cost as a part of the objective function value. This algorithm is complemented by re-timing strategy to effectively manage the disrupted passengers by allowing delays even on some of undisrupted flights. The delays no more than 15 minutes are accepted, which does not influence on the on-time performance of the airlines. The suggested method is tested on the real data sets from 2009 ROADEF Challenge, and the computational results are compared with the existing ones on the same data sets. The method generates the solution for most of problem set in 10 minutes, and the result generated by re-timing strategy is discussed for its impact.

• Journal of Korean Society of Transportation
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• v.23 no.7 s.85
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• pp.181-190
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• 2005

The time required for airport process is considered more important as the airports are becoming bigger. International Civil Aviation Organization mattes this international standards and recommends not to exceed it. The passenger forecasting model is developed to predict the number of passengers at the check-in counter, and the area of formalities for departure and entry. In case of forecasting the number of outbound-passengers. the patterns of show-up lead time(SLT) at the check-in counter and lag time from check-in counter to the area of departure formalities are modeled in terms of time. On the other hand, the matter of the choice of check-in counters and areas of departure formalities are modeled in terms of space. In case of forecasting the number of inbound-passengers and transfer passengers, the time of airplane movement from arrival to block on at the gate and the time of passengers required from gate to the area of formalities for entry are modeled in terms of time. While the matter of the choice of gates and the areas of formalities for entry are modeled in terms of space. The average error of forecasting outbound-passengers and inbound-passengers is respectively 15% and 10%, which are considered excellent with the 5% error of passenger reservation information as input data. Through the development of passenger forecasting models, we assure we could provide passengers with valuable service because we allocate resource such as employees and equipments according to the degree of concentration of passengers.

• Journal of Korean Society of Transportation
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• v.2 no.1
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• pp.17-31
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• 1984

공항의 용량측정은 수요군의 흐름에서 발생하는 소비시간분석을 요구하며 공항체계 의 대부분 시설에서는 흐름의 시간변위를 연속대기례에 의한 비효율적방법으로 예측할수도 있으나 청사내의 여객동선에 대해서는 여러 시설을 활용하려는 여객의 선택선호로 인하여 확률적 접근이 바람직하다. 본 논문은 공항의 청사내에서 부대시설에 의하여 소비되는 여객 의 이완시간을 예측하는 모형을 개발하였다. 총이완시간은 여객이 각 시설을 이용하는 확률 과 이용시간의 기대치에 대한 함수로서 계산되었으며 정상적인 여객의 동선이 이들 시설에 의하여 영향을 받을 경우에만 정의되도록 하였다. 이 이완도는 연속된 청사의 기능시설에 대한 여객동선분포의 입력과 출력을 설명하는데 쓰이게 되며 나아가서는 청사전반의 용량산 정을 위한 지표를 제공한다. 모형 검증을 위한 자료는 매표대와 보안검사대 사이의 부대시 설을 중심으로 수집되었으며 자료의 특성과 모형의 심요성이 논의되었다.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.245-246
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• 2015

공항면세점 이용객은 항공기 탑승시간으로 인한 제한된 시간으로 인하여 이용객이 느끼는 시간압박과 추가 구매를 유도할 수 있는 충동구매 성향과 이에 따른 영향을 분석하기 위하여 인천국제공항 면세점에서 면세품을 구입한 후 항공기 탑승을 위해 대기중인 이용객 211명을 대상으로 설문조사를 실시하고 이를 분석하였다. 분석결과 충동구매 성향이 낮은 경우 시간압박은 충동구매 행동 및 재구매 의도에 정(+)의 영향을 미치고, 충동구매 성향과 관계없이 만족도는 재 구매 의도에 정(+)의 영향을 미치는 것으로 분석되었다. 본 연구는 시간압박 및 충동구매 성향을 고려한 면세점 운영전략 수립에 반영할 수 있을 것이다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.12 no.6
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• pp.581-588
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• 2000

This paper describes the effect of vertical air circulation on the thermal environment in an airport passenger terminal with induced flow by jet fans. In comparing the level of thermal comfort at the breathing line of 1.5 m in height, the results from the two models with or without the vertical air circulation, show that the average PPD is 8% in the former and 23% in the latter, respectively. It is thought that vertical air circulation lends to improved thermal comfort for human in respect of ventilation in a large space.