• Title/Summary/Keyword: 허브 공항

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A Study on the Flight Service Network for Incheon International Airport to be a Successful Hub Airport in Northeast Asia (인천국제공항의 허브 경쟁력 강화를 위한 효율적 비행편 서비스망 구성방법에 관한 연구)

  • Yoo, Kwang Eui;Lee, Yeong Heok
    • Journal of Advanced Navigation Technology
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    • v.2 no.2
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    • pp.143-156
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    • 1998
  • Incheon International Airport(IIA) is planned to open in about two years. Korean government has an ambition to make IIA a major hub airport in Northeast Asia. The most essential and required condition for an airport to be a successful hub airport in a certain region is to have more efficient flight service network than the other airports in the same region. IIA should compete with Japanese airports to be a major hub in Northeast Asia because Japanese government also has a plan to expand greatly the airport capacity in Tokyo area and Kansai airport in Osaka. It is necessary for both IIA and Korean national air carriers to compose efficient flight service network considering hub competition with Japanese major airports. As the liberalization of international air transport industry would give more marketing freedom to airlines, they would plan the flight service network and flight schedule based on market analysis instead of governmental regulations. In the economically liberalized environment, it is very required to analyze air passengers' flight choice behaviour in order to induce other carriers and passengers through IIA's attractive flight service network. Disaggregate model is more appropriate than aggregate model to analyze consumers' behaviour. The information derived from disaggregate choice model of air passengers could be utilized in devising efficient flight network and schedule plan. Value of travel time or trade off ratio between flight frequency and travel time which could be estimated from discrete choice model could be utilized for scheduling an efficient flight plan for airlines and composing efficient flight service network for IIA.

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Operational Efficiency Analysis Using DEA Approach for the Major Airports in Asia (DEA 분석에 의한 아시아 공항 운영 효율성 연구)

  • Lee, Yeong-Heok;Kim, Eun-Jung;Kim, Do-Hyun
    • 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.

Analysis of Trends in Icheon Airport using IIAC Trend Analysis Platform (인천공항 트렌드 분석 플랫폼을 이용한 2018년 인천공항 트렌드 분석)

  • Son, Seokhyun;Choi, Yu-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.2-4
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    • 2019
  • 인천공항은 2001년 개항이후, 비약적으로 발전하고 있으며, 2018년 약 6500만 명의 여객을 수용하는 등 초대형 메가허브공항으로 도약 중이다. 2018년 인천공항은 제2여객터미널을 개장하며, 인천공항에 대한 언론과 대중의 관심을 증폭시켰고, 평창동계올림픽 개최와 남북정상회담을 통해 대한민국 중추공항으로서의 이미지를 각인시켰다. 인천국제공항공사는 인천공항의 건설 및 관리, 운영, 주변지역개발, 부대사업 및 기타 국가위탁사업을 하는 국토교통부 산하 공공기관으로 2018년 입국장 면세점 도입, 정규직 전환 등의 이슈를 생성하였다. 본 논문에서는 뉴스, SNS 수집, 저장, 처리, 분석플랫폼인 ITAP를 이용하여 인천공항, 인천국제공항공사 관련된 뉴스, SNS 내용을 플랫폼별로 분석하였고, 월별 버즈량과 주요키워드를 플랫폼별로 추출하여 2018년 인천공항, 인천국제공항공사의 주요 이슈를 제시한다.

Analyzing the LCC Network at Asian Major Airports (아시아 주요공항의 저비용항공사 네트워크 분석)

  • BAE, Hyeon Jun;PARK, Yonghwa;KIM, Young In
    • Journal of Korean Society of Transportation
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    • v.35 no.3
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    • pp.247-259
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    • 2017
  • This study analyzed the network of low cost carriers (LCCs) to investigate the structural characteristics of airport networks. 71 LCCs in Asian major airports from January 2010 to January 2016 were queried from the SRS Analyzer Schedule Database of IATA's Airport Intelligence Service, and analyzed international routes excluding domestic flights. We analyzed the network connection mechanism focusing on Incheon International Airport, Hong Kong, Singapore, Narita, Kansai, Pudong, Kaohsiung, Gimpo and Jeju airports as well as structural changes in the LCC network using four centrality analysis concepts. The outcomes showed that the LCC network is formed in these airports and the density of connectivity to other airports increased. In recent years, LCC has launched LCCs-Alliances and would be considered to operate a hub-and-spoke network.