• Title/Summary/Keyword: Passenger Demand Forecast

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Air passenger demand forecasting for the Incheon airport using time series models (시계열 모형을 이용한 인천공항 이용객 수요 예측)

  • Lee, Jihoon;Han, Hyerim;Yoon, Sanghoo
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.87-95
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    • 2020
  • The Incheon airport is a gateway to and from the Republic of Korea and has a great influence on the image of the country. Therefore, it is necessary to predict the number of airport passengers in the long term in order to maintain the quality of service at the airport. In this study, we compared the predictive performance of various time series models to predict the air passenger demand at Incheon Airport. From 2002 to 2019, passenger data include trend and seasonality. We considered the naive method, decomposition method, exponential smoothing method, SARIMA, PROPHET. In order to compare the capacity and number of passengers at Incheon Airport in the future, the short-term, mid-term, and long-term was forecasted by time series models. For the short-term forecast, the exponential smoothing model, which weighted the recent data, was excellent, and the number of annual users in 2020 will be about 73.5 million. For the medium-term forecast, the SARIMA model considering stationarity was excellent, and the annual number of air passengers in 2022 will be around 79.8 million. The PROPHET model was excellent for long-term prediction and the annual number of passengers is expected to be about 99.0 million in 2024.

Development of BPR Functions with Truck Traffic Impacts for Network Assignment (노선배정시 트럭 교통량을 고려한 BPR 함수 개발)

  • Yun, Seong-Soon;Yun, Dae-Sic
    • Journal of Korean Society of Transportation
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    • v.22 no.4 s.75
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    • pp.117-134
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    • 2004
  • Truck traffic accounts for a substantial fraction of the traffic stream in many regions and is often the source of localized traffic congestion, potential parking and safety problems. Truck trips tend to be ignored or treated superficially in travel demand models. It reduces the effectiveness and accuracy of travel demand forecasting and may result in misguided transportation policy and project decisions. This paper presents the development of speed-flow relationships with truck impacts based on CORSIM simulation results in order to enhance travel demand model by incorporating truck trips. The traditional BPR(Bureau of Public Road) function representing the speed-flow relationships for roadway facilities is modified to specifically include the impacts of truck traffics. A number of new speed-flow functions have been developed based on CORSIM simulation results for freeways and urban arterials.

The LOS Analysis of Railway Station Facilities Based on Design Hourly Factor and Simulation (설계시간계수 및 Simulation 기반 철도역사 이용시설 LOS 분석)

  • Oh, Tae-ho;Lee, Seon-ha;Cheon, Choon-keun;Kim, Eun-ji;Yu, Byung-young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.3
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    • pp.105-117
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    • 2016
  • Recently the passenger of railway satisfaction levels are lowered. the reason why the railway station was built without considering the increased passenger due to diversification(transfer, shopping, and etc.) of the domestic railway station infrastructure. Especially, in case of KTX Gwangju-Songjeong Station, the number of its passenger has been increased about more than three times since its opening in 2015, so that there are much inconvenience generated in the station congested with passengers. his study aims to excute using Pedestrian simulation and Design Hourly Factor concepts of Highway Engineering, in order to designing the optimum area through the passenger demand forecast for each station. For this analysis was divided into the second stage. Frist, the railway passenger was calculated by using the methodology of Design Hourly Factor that is used during road design in the aspect of traffic engineering. Second, we tried to analyze the level of service in each railway station facility through the pedestrian simulation. Analytical results show that utilizing pedestrian simulation provides verification for calculation of LOS of each railway station facility. Therefore, In the future when designing railway station of facilities will be possible to suggest the facilities area based on LOS.

The Trend and forecast of Civil Aircraft market (세계 민간 항공기 시장 동향과 전망)

  • Chang, Tae-Jin
    • Current Industrial and Technological Trends in Aerospace
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    • v.8 no.1
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    • pp.12-22
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    • 2010
  • The great recession which caused by financial crisis made steep rise of oil price and the serious problems of the aircraft industry. High oil price increases operating cost and the recession decreases air traffic. After a period of high book order and delivery from global economic recovery, the aircraft order fell down suddenly. Also the Aircraft price and lease rate deceased and the MRO market is reduced, too. But, the air cargo and passenger increase again since late of 2009. So, it is difficult to predict the market movement, most of the forecasters agreed that the air traffic and aircraft demand will grow gradually in long term with the growth of emerging markets like China, India and Africa. And more efficient, safe and clean aircraft is needed and will need in the market.

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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.