• Title/Summary/Keyword: 국내선 항공여객수요

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Estimating Price Elasticities of Domestic Air Transport Demand by Stated Preference Technique (Staled Preference 방법론에 의한 국내선 항공수요의 가격탄력성 추정)

  • 이성원;이영혁;박지형
    • Journal of Korean Society of Transportation
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    • v.18 no.1
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    • pp.27-34
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    • 2000
  • This study analyzes the price elasticities of airline Passenger demand through the 'Stated Preference' technique which uses survey data. Because the domestic airfare has been regulated by the government. it is not easy to derive Price elasticity through the usual regression analysis with aggregate data and thus a special methodology is required for elasticity estimation. Therefore, in this study we estimated the Price elasticities of domestic air passenger demand and the modal share change rates to the alternative modes with logit model and sample enumeration method, by analyzing the survey data on air Passengers' demand behavior about the mode choice between air-rail. air-bus, and air-car. As the results, the estimated price elasticities are in the range of -0.6~-0.9, and rail is mainly chosen as an alternative mode. bus is chosen Partly, and car is barely used.

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Estimation of Air Travel Demand Models and Elasticities for Jeju-Mainland Domestic Routes (제주-내륙 간 국내선 항공여객수요모형 및 탄력성의 추정)

  • Baek, Seung-Han;Kim, Sung-Soo
    • Journal of Korean Society of Transportation
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    • v.26 no.1
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    • pp.51-63
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    • 2008
  • Jeju-Mainland demand for air passenger is variated by the season because most of the demands stem from the leisure travel. This research is to estimate the econometrics demand models(A simple time series model and the partial adjustment model) and elasticities of each models for the Jeju-Mainland domestic routes air travel market using the time series aggregate data between the year 1996 and 2005. As the result of estimating, income elasticity was evaluated to be elastic(1.55) and fare elasticity was inelastic(-0.49${\sim}$-0.59) for A simple time series models. In the partial adjustment model's case, income elasticity was evaluated to be inelastic(0.51) in short-run whereas it was evaluated to be elastic(1.88) in long-run. Fare elasticity was evaluated to be inelastic in short-run(high-demand season: -0.13, slack season: -0.20) and long-run(high-demand season: -0.48, slack season: -0.72).

Big Data-Based Air Demand Prediction for the Improvement of Airport Terminal Environment in Urban Area (도심권 공항 터미널 환경 개선을 위한 빅 데이터 기반의 항공수요예측)

  • Cho, Him-Chan;Kwag, Dong-gi;Bae, Jeong-hwan
    • 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.

A Study on the Airport Users Choice Behavior -A Gimpo International Airport Case Study- (공항이용객의 공항선택행동에 관한 연구 -김포국제공항을 중심으로-)

  • Park, Jin-woo;Kim, Mun Hwan;Choi, yu-jin
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.87-88
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    • 2013
  • 세계 및 한국경제의 성장과 함께 항공운송 시장의 급속한 확대에 따라 대한민국에서의 국제항공 운송 수요는 꾸준히 증가하게 됨에 따라 한국의 관문 역할을 담당하던 김포국제공항의 수용능력은 한계에 이르게 되었다. 따라서 정부는 김포국제공항을 대체할 인천국제공항을 건설하여 운영하는 한편 김포국제공항에는 한국 중국 일본의 수도를 포함한 몇몇 도시를 연결하는 근거리 중심의 국제선이 취항하게 되면서 공항운영에 대한 새로운 패러다임을 형성하게 되었다. 대한민국의 수도 서울의 항공교통을 위한 공항이 제한적이지만 복수공항 체계로 운영되면서 인천공항과 김포공항을 이용하는 항공여객은 공항 이용 시 선택의 기회가 주어지면서 공항운영자는 여객의 공항선택에 영향을 주는 요소에 관심이 점차 증대되고 있는 현실이다. 그러나 현재 국내에서는 항공여객의 항공사 선택에 관한 연구는 많이 이루지고 있으나 항공여객의 공항선택에 관한 연구는 상대적으로 미흡한 실정임을 부인할 수 없다. 따라서 본 연구는 항공여객의 공항선택에 미치는 속성이 무엇이고 속성에 따른 중요도와 만족도를 측정하여 공항운영자의 공항운영과 활성화 전략수립에 대한 정보를 제공하는데 목적이 있다. 본 연구에서는 김포공항 국제선 이용객을 표본으로 선정하여 설문조사를 실시하여 IPA 분석과 GAP분석 및 경로분석 기법을 사용하여 분석하였다.

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Domestic air demand forecast using cross-validation (교차검증을 이용한 국내선 항공수요예측)

  • Lim, Jae-Hwan;Kim, Young-Rok;Choi, Yun-Chul;Kim, Kwang-Il
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.27 no.1
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    • pp.43-50
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    • 2019
  • The aviation demand forecast field has been actively studied along with the recent growth of the aviation market. In this study, the demand for domestic passenger demand and freight demand was estimated through cross-validation method. As a result, passenger demand is influenced by private consumption growth rate, oil price, and exchange rate. Freight demand is affected by GDP per capita, private consumption growth rate, and oil price. In particular, passenger demand is characterized by temporary external shocks, and freight demand is more affected by economic variables than temporary shocks.

Estimating the Impact on Aviation Demand by High Speed Railroad Service in Korea (고속철도 개통으로 인한 항공수요 변화에 대한 추정)

  • Park, Yong-Hwa;Kim, Yeon-Myung;Oh, Sung-Yeol
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.47-54
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    • 2004
  • Recently, a large reduction in domestic aviation demand had roughly shown in the range between 34% and 75% in east central and western corridor of Korea. The reasons for the drop in air traffic demand were the provisioning of several new highway serveces and the national economic difficulties. Since April 2004, moreover, the Korea Train Express(KTX) was operated between Seoul and Daegu in the first phrase of 293Km in KTX operational distance and 258Km in air route distance. The operation of KTX significantly impacted air traffic volume, particularly on the overlapped air routes with KTX routes. This study analyzed the effects on air traffic demand in accordance with the opening of KTX by applying the Stated Preference (SP) survey method, the survey conducted prior to 8 months of the KTX initiative. Also, the comparison of the decreased demand forecast by SP analysis and actual revealed traffic volume during two months service after inauguration of KTX was conducted. The Seoul-Daegu route was analysed using the 3 variables considered access and egress time, fare rate, operational frequency. The result obtained from the analysis showed that air users would be preferred only 14%. Comparatively, however, the actual revealed air passengers after the opening KTX were remained 28%, The less "decreased demand" was caused by the instability of the KTX's operation in the initial stage. Therefore, small numbers of passenger were preferable to airservices rather than high speed railroad service.

The Development of Econometric Model for Air Transportation Demand Based on Stationarity in Time-series (시계열 자료의 안정성을 고려한 항공수요 계량경제모형 개발)

  • PARK, Jeasung;KIM, Byung Jong;KIM, Wonkyu;JANG, Eunhyuk
    • Journal of Korean Society of Transportation
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    • v.34 no.1
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    • pp.95-106
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    • 2016
  • Air transportation demand is consistently increasing in Korea due to economic growth and low cost carriers. For this reason, airport expansion plans are being discussed in Korea. Therefore, it is essential to forecast reliable air transportation demand with adequate methods. However, most of the air transportation demand models in Korea has been developed by simple regression analysis with several dummy variables. Simple regression analysis without considering stationarity of time-series data can bring spurious outputs when a direct causal relationship between explanatory variables and dependent variable does not exist. In this paper, econometric model were developed for air transportation demand based on stationarity in time-series data. Unit root test and co-integration test are used for testing hypothesis of stationarity.

21세기 국제항공정책 방향

  • 정일영
    • Proceedings of the KOR-KST Conference
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    • 1998.10b
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    • pp.452-452
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    • 1998
  • 1. 세계 항공시장의 동향 ○ 항공운송산업의 규제완화 및 항공자유화 추세의 확산 -78년 미국의 규제완화 이후 유럽, 대양주, 아시아 등으로 파급 ○ 미국의 항공자유의 정책(Open skies Policy)은 EU의 역대 완전자유화와 함께 세계항공시장의 자유화 촉진 ○ 항공사간 전략적 제휴의 확산 -British Connection, Star Alliance, Southern Comfort, Dutch Treat 등 4대 범세계적 제휴가 결성 또는 추진 중. 2. 우리나라 항공운송산업의 현황 ○ 세계 10위권 항공운송국가로 성장 -화물 세계5위, 여객 11위(97 ICAO통계) -김포공항은 97년 중 36.5백만명 처리로 세계9위 차지 ○ IMF체계의 영향과 경영수지 변화 추이 -98년 내국인 출국자는 감소하였으나, 외국인 관광객은 증가(10.8%) * 98. 1∼8전년대비 수송수요 국제선 17%, 국내선 26% 감소 -97년 양 항공사 적자규모 약 4,000억원으로 대폭 증가, 98상반기 회복추세. 3. 21세기 국제항공정책 방향 ○ 적극적인 항공시장 개방정책 추진과 역내 주요도시간 셔틀화 ○ 세계 주요 항공사와의 전략적 제휴를 지원하여 세계항공시장에서의 경쟁력 제고 * KAL-이, AAR-AA -인천국제공항의 HUB화 추진(민간 경영기법 도입, 항공개방정책 등) ○ 항공사가 최적의 노선망과 경제성을 갖도록 하는 적정 성장방안 강구 ○ 선진국 수준의 획기적 항공안정 체계 확립

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A Study on the Air Travel Demand Forecasting using time series ARIMA-Intervention Model (ARIMA-Intervention 시계열모형을 활용한 제주 국내선 항공여객수요 추정)

  • Kim, Min-Su;Kim, Kee-Woong;Park, Sung-Sik
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.1
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    • pp.66-75
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    • 2012
  • The purpose of this study is to analyze the effect of intervention variables which may affect the air travel demand for Jeju domestic flights and to anticipate the air travel demand for Jeju domestic flights. The air travel demand forecasts for Jeju domestic flights are conducted through ARIMA-Intervention Model selecting five intervention variables such as 2002 World Cup games, SARS, novel swine-origin influenza A, Yeonpyeongdo bombardment and Japan big earthquake. The result revealed that the risk factor such as the threat of war that is a negative intervention incident and occurred in Korea has the negative impact on the air travel demand due to the response of risk aversion by users. However, when local natural disasters (earthquakes, etc) occurring in neighboring courtiers and global outbreak of an epidemic gave the negligible impact to Korea, negative intervention incident would have a positive impact on air travel demand as a response to find alternative due to rational expectation of air travel customers. Also we realize that a mega-event such as the 2002 Korea-Japan World Cup games reduced the air travel demand in a short-term period unlike the perception in which it will increase the air travel demand and travel demands in the corresponding area.

A Study on the Air Travel Demand Forecasting using ARIMA-Intervention Model (Event Intervention이 일본, 중국 항공수요에 미치는 영향에 관한 연구)

  • Kim, Seon Tae;Kim, Min Su;Park, Sang Beom;Lee, Joon Il
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.21 no.4
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    • pp.77-89
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    • 2013
  • The purpose of this study is to anticipate the air travel demands over the period of 164 months, from January 1997 to August 2010 using ARIMA-Intervention modeling on the selected sample data. The sample data is composed of the number of the passengers who in the domestic route for Jeju route. In the analysis work of this study, the past events which are assumed to have affected the demands for the air travel routes to Jeju in different periods were used as the intervention variables. The impacts of such variables were reflected in the presupposed demand. The intervention variables used in this study are, respectively, the World Cup event in 2002 (from May to June), 2003 SARS outbreak (from April to May), Tsunami in January 2005, and the influenza outbreak from October to December 2009. The result of the above mentioned analysis revealed that the negative intervention events, like a global outbreak of an epidemic did have negative impact on the air travel demands in a risk aversion by the users of the aviation services. However, in case of the negative intervention events in limited area, where there are possible substituting destinations for the tourists, the impact was positive in terms of the air travel demands for substituting destinations due to the rational expectation of the users as they searched for other options. Also in this study, it was discovered that there is not a binding correlation between a nation wide mega-event, such as the World Cup games in 2002, and the increased air travel demands over a short-term period.