• Title/Summary/Keyword: 공항 혼잡

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Airport Congestion Analysis with Big Data Analysis - The Case of Gimpo Airport - (빅데이터 분석을 활용한 공항 혼잡도 분석 - 김포공항 사례를 중심으로 -)

  • Kim, Jin Ah;Kim, Jin Ki
    • 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.

공항마케팅에 관한 일반적 고찰

  • 유광의
    • Proceedings of the KOR-KST Conference
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    • pp.442-451
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    • 1998
  • 최근 들어 공항운영에도 마케팅개념을 도입해야 한다고 주장하는 경우를 자주 볼 수 있다. 항공 운송산업 초기에서부터 1970년대까지 공항운영은 안전성확보에 초점이 맞추어져 있었다. 1980년대 이후 항공운송산업의 규제완화와 항공수요 급증에 의한 공항 혼잡화 문제가 대두되면서 공항 운영에도 효율성과 수익성을 강조하게 되었고 일반기업 경영에서 개발한 운영 기법을 공항운영에 도입하게 되었다. 이러한 추세는 당연히 공항운영에 마케팅 개념도입을 고려하게 된 것이다. 그러나 아직도 공항마케팅에 대한 체계적 고찰이 이루어진 적이 없어 본 연구는 공항 마케팅에 관한 일반적 고찰을 목적으로 수행하게 되었다. 본 연구는 공항운영에 있어서 마케팅 개념이 도입되게 된 배경과 공항 마케팅의 특성 등을 고찰해보고 공항운영에서 마케팅 개념을 어떻게 실현 할 수 있는지를 파악하는 것을 구체적 목적으로 했다. 우선은 공항운영에 있어서의 마케팅 개념 도입 배경을 살펴보고, 공항마케팅의 특성을 고찰한 후, 공항마케팅이 처하게되는 환경과 공항마케팅의 목표를 분석했다. 논의된 환경 하에서 마케팅 목표실현을 위해 어떠한 방법으로 마케팅 부서를 조직하고 어떤 업무를 수행하는지를 선진국 공항의 예를 들어 정리하고, 공항마케팅의 주요 대상인 항공사와 여객에 대한 공항의 마케팅 활동 방법을 분석함으로써 본 연구의 목적을 달성하도록 했다.

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A Study on Airlines' Choice Behavior of Aircraft Size (항공사의 항공기 용량 선정 행위에 관한 연구)

  • Kim, Bong-Gyun;Yoo, Kwang-Eui
    • Journal of Advanced Navigation Technology
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    • v.4 no.2
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    • pp.114-131
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    • 2000
  • An airline should consider the number of seats or size of aircraft, when it composes fleet or selects a type of aircraft for some routes. There are two major factors considered for this choice problem under the assumption that the objectives of an airline is a profit maximization: the operating cost and revenue from the aircraft operated. This research tries to solve the problem of aircraft size selection by airline. The study applies four steps to get optimal choice of aircraft size: (1) cost analysis for the relationship between airline operation cost and aircraft size: (2) market share and revenue analysis: (3) flight segment-level analysis, based on the derived cost, demand and revenue functions: and (4) network-level analysis to see how airlines make choice of aircraft size systematically at a network level. An airline can accommodate the increasing air travel demand by either increasing operation frequency, or increasing aircraft size that is represented by seat capacity, or both. Airport runway capacity and productivity depend on the size of aircraft used at airport. This paper presents the understanding of how airlines make decisions on the size of aircraft to operate, how they will adjust their choices when airport capacity is constrained, and how public regulation such as policy for landing fees could influence airlines' aircraft choice.

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A Study on The Impact of Perceived Crowding on Emotional Response and Revisit Intention (공항 이용객의 혼잡지각이 감정적 반응과 재방문의사에 미치는 영향에 관한 연구)

  • Kim, Seung-Lee;In, Ok-Nam
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.5
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    • pp.141-150
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    • 2015
  • The object of this study is finding out the relational effect of perceived crowding of international airport on emotional response and revisit intention. The data of this study was collected by questionnaire and based on Incheon international airport visitors. A total 260 validity sample was analyzed a frequency analysis, reliability analysis, exploratory factor analysis and correlation coefficient analysis from SPSS 21, a hypothesis through out confirmatory factor analysis and structural equation modeling from AMOS 7.0. As a result of this study, visitors' human perceived crowding of international airport and positive emotional response showed a significant effects on revisit intention.