• Title/Summary/Keyword: 여객수

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A Study on the Status Quo of Short-term Operation and Issues of KTX (개통 초기의 KTX 운영현황 및 문제점 고찰)

  • An, Byeong-Uk;O, Se-Chang
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.219-226
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    • 2004
  • 본 연구는 지속적인 여객 및 화물량의 증가로 기존 수송수단이 포화에 이른 실정에 새로운 교통수단으로 추진한 고속철도 사업에 대해, 고속철도 개통 후 단기간에 드러난 이용현황 및 문제점을 도출해 기선방안을 제시하고자 한다. 이를 위해 관련 단체 및 기관의 자료를 수집 분석하였으며, 설문조사를 수행하여 결과를 도출하였다. 또한 광범 위한 고속철도 사업의 특성아래 여객 부문에 대한 대중교통 측면으로 연구의 범위를 한정하였다. 고속철도 개통 후, 여객 및 화물 수송의 형태에는 단기간이나마 큰 변화가 있는 것으로 나타났으나 그에 반해 고속철도의 이용에 있어서 주목할 만한 문제점 또한 조사되었다. 주요 사항으로는 역방향 유해성, 일반열차로의 불편전이, 터널통과시의 소음 등으로서 이는 개통 초기 고속철도에 대한 그릇된 대국민 인식을 가져오게 함과 동시에 향후 개인들간 교통수단 선택에 있어서까지 그릇된 영향을 끼칠 수 있다. 현재 각각의 문제점에 대한 개선방안으로 일반열차 확대 및 할인혜택, 점진적인 순방향 좌석으로서 교체 및 소음 저감방안을 위한 연구 용역 등이 실행되거나 준비되고 있으나 그에 대한 뚜렷한 개선 징후는 아직 미미한 상태로 분석되고 있다. 본 연구에서 실시한 설문조사 결과 아직까지는 고속철도에 대한 인식이 긍정적인 수준을 보이고 있으나 개별 문제점에 대한 좀더 깊은 고찰과 개선안 제시가 이루어진다면 향후 고속철도에 대한 대국민 인식을 한 단계 더 높여, 그 이용을 활성화 시킬 수 있는 좋은 기회가 될 것으로 판단된다.

A Longitudinal Analysis of Deconcentration Process for the Top 20 Airlines in China (중국 상위 20위 항공사의 탈 집중화 현상에 대한 종단적 연구)

  • Chen, Jiarong;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.65-79
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    • 2020
  • With the rapid development of China's economy, the aviation industry, as an important part of transportation services, has undoubtedly achieved rapid development. However, there is hardly any academic work that was based on the development of the top airlines in the Chinese airline industry. Hence, this study provides empirical research that takes into account the longitudinal development of the top 20 airlines in China from 2009 to 2018. The throughput volumes (cargo and passenger) of the airlines were analyzed by concentration indicators, namely the concentration ratio (CR), the Herfindahl- Hirschman index (HHI), the Gini coefficient, and the shift-share analysis (SSA). In this paper, the top 20 airlines have been analyzed in terms of the passenger and cargo throughput from 2009 to 2018. The calculation results of CR6, HHI and the Gini coefficient show that the airlines were extremely deconcentrated. In addition, by comparing the ABSGR of passenger and cargo throughput, it is shown that China's aviation industry is dominated by four airlines- Air China, China Eastern Airlines, China Southern Airlines and Hainan Airlines. In the future study, it is necessary to explore growth strategies to find niche markets for passenger and cargo transportation.

A Study on Forecasting Air Transport Demand between South and North Korea (남북한 연결 항공교통 수요예측에 관한 연구)

  • Lee, Yeong-Hyeok;Ryu, Min-Yeong;Choe, Seong-Ho
    • Journal of Korean Society of Transportation
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    • v.27 no.2
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    • pp.83-91
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    • 2009
  • This paper aims to predict air passenger and air freight demands in the air routes between South and North Korea. The air demands will be fostered by the visitors of Pyeongyang and Baekdu Mountain, whose forecasts will be used for supplying the air traffic services necessary for the active exchange and cooperation between South and North Korea in the future. The authors use the tool of regression analysis under the assumption of epoch-making progress in demand for aviation in accordance with the exchange and cooperation scenario between South and North Korea. After predicting the total number of travelers through regression analysis, the authors applied the share of air passengers among total travelers in order to predict the number of air passengers. Finally, the number of flights of each airport and route were forecasted by including the air freight, estimated from the number of air passengers.

Development of International Passenger Travel Demand Models for the ASEAN Region (아세안지역의 국가간 여객통행수요 추정모형 구축에 관한 연구)

  • Mun, Jin-Su;Park, Jun-Hwan;Jung, Ho-Young
    • Journal of Korean Society of Transportation
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    • v.26 no.6
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    • pp.7-15
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    • 2008
  • Due to the limitations in the statistical data, the existing studies adopted rough methodologies with strong assumptions in the estimation of international passenger travel demand forecast in the ASEAN region. This study aims to develop international passenger travel demand models using scientific methodologies. This study proposes a direct demand model using the immigration and emigration data between countries in the region. This is because of the difficulty of estimating trip generation and trip distribution separately due to the data limitation in the region. As there does not exist the mode choice model for the region, this study estimates a mode choice model using the Stated Preference technique. The mode choice model is separated into three categories of models according to the range of distance between the origin and destination of travel; this is to reflect the different behavior in mode choice according to the travel distance. The result of model estimations suggests that the estimated models produce resonable results statistically. It is expected that the proposed models are useful for the future travel demand estimation in the ASEAN region.

Analysis of Transportation Mode Choice Behavior Based on Accessibility : Focused on Chungnam-Weihai route (접근성에 따른 운송수단 선택행동에 관한 분석 : 충남-위해구간을 중심으로)

  • Choi, Jung-kyu
    • Journal of Korea Port Economic Association
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    • v.32 no.4
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    • pp.183-192
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    • 2016
  • The purpose of this study is to analyze the choice behavior of the mode of transportation for travel from Korea to China. Discrete choice analysis is utilized to establish the factors that affect travelers' choice and to quantify the importance of these factors in transportation mode choices. The proposed choice models were constructed by using stated-preference (SP) data obtained from Chungcheongnam-do. This study also examined different choice behavior in order to capture any previously unobserved differences in the residence area. Results showed that the access time and frequency attributes are the most significant factors, while the travel time attributes are the least significant factors for travelers' choice behaviour. The insights of the results described in this research provide some practical suggestions to transportation providers for planning and strategic management endeavors in the future.

Study on Status of Barrier Free Certification & Improvement Strategies (여객자동차 터미널 이동편의시설 BF 실태 및 개선방안 연구)

  • Park, Shin-Won;Cho, Young-Tae
    • Land and Housing Review
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    • v.7 no.4
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    • pp.225-237
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    • 2016
  • This study is to investigate actual condition of passenger terminals, public facilities which are used by unspecified individuals, with high spread effect of certification system of Barrier Free introduced in 2007, evaluate possibility of the certification and prepare an effective way for certification in order to spread and settle the certification system. According to the investigation on the facilities' equipment level of 349 passenger terminals, which being nationally operated, 217 terminals could be certified and non-certified were 58. And, 29 was evaluated as the passenger terminals with high possibility to get Barrier Free certification by small scale of remodeling. The level of Barrier Free of investigated passenger terminals, according to the actual condition with certification index, were 40~55 percent. While the level of Barrier Free of internal facilities of the terminals was over 90percent, the level of sanitary facilities, information facilities, etc. fell short of 50 percents. In this study, pilot project of Barrier Free certification is proposed for enhance of passenger terminal facilities. Moreover, the selection of passenger terminals with high possibility of certification, local governments' strong will as the targets of pilot project for improvement of amenity level and Barrier Free certification and monitoring the project results are the way of the project.

A Process Perspective Event-log Analysis Method for Airport BHS (Baggage Handling System) (공항 수하물 처리 시스템 이벤트 로그의 프로세스 관점 분석 방안 연구)

  • Park, Shin-nyum;Song, Minseok
    • The Journal of Bigdata
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    • v.5 no.1
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    • pp.181-188
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    • 2020
  • As the size of the airport terminal grows in line with the rapid growth of aviation passengers, the advanced baggage handling system that combines various data technologies has become an essential element in order to handle the baggage carried by passengers swiftly and accurately. Therefore, this study introduces the method of analyzing the baggage handling capacity of domestic airports through the latest data analysis methodology from the process point of view to advance the operation of the airport BHS and the main points based on event log data. By presenting an accurate load prediction method, it can lead to advanced BHS operation strategies in the future, such as the preemptive arrangement of resources and optimization of flight-carrousel scheduling. The data used in the analysis utilized the APIs that can be obtained by searching for "Korea Airports Corporation" in the public data portal. As a result of applying the method to the domestic airport BHS simulation model, it was possible to confirm a high level of predictive performance.

An Activity-Based Analysis of Heavy-Vehicle Trip Chains (우리나라 대형 화물차의 통행사슬 분석:활동기반모형 적용)

  • Joh, Chang-Hyeon;Kim, Chan-Sung;Seong, Hong-Mo
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.2
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    • pp.192-202
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    • 2008
  • Typical activity-based travel analysis has been focused on passenger travel using household survey data. The current research focuses on freight transport using one-day travel survey data. Passenger travel can be seen as the outcome of traveller's subjective decision-making, whereas freight transport is the outcome of shipper or transport company's optimized scheduling. The research conducts an activity-based analysis of freight-vehicle trip chains. In particular, the research focuses on the difference in travel pattern between shipper-oriented private vehicle and transport company-oriented business vehicle. The research analyzed the travel diary of freight vehicles collected as part of the third national logistic survey in 2005. The diary is freight driver's one-day travel record including the information of loading capacity, item transported, destination, arrival time, etc. The analysis results show the difference between private and business vehicles in the travel pattern regarding the sequences of destination, destination type and item transported and the multi-dimensional information of the three sequences.

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A Analysis the Change Tendency of Coasting Passenger Ship Routes by Utilizing the Society Network Analysis. (네트워크 분석 방법을 활용한 국내 여객항로 변화추세 분석)

  • Ko, Jae-woo;Choi, Chang-mook
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.10a
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    • pp.151-153
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    • 2014
  • 본 논문에서는 사회네트워크 분석 기법을 이용하여 2005년부터 2013년까지 운용되었던 국내 연안여객선의 항로를 분석하였다. 분석결과 연도별로 중심이 되는 항구가 변화되는 것을 확인할 수 있었다. 목포는 지속적으로 가장 높은 연결 중심성을 보였으며, 여수는 최근 그 중심성이 높아지는 것을 확인하였다. 또한 물동량과 이용량 등 전통적인 방법을 통하여 분석한 결과와 사회 네트워크 방법으로 분석한 결과 값을 비교하였는데 이 두 값이 매우 강한 상관관계를 보였다. 이를 통해 전통적인 방법을 사용하지 않더라도 네트워크 분석을 통해 해당 항구의 중심성을 알 수 있음을 확인하였다.

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Analyzing the Impact of Pandemics on Air Passenger and Cargo Demands in South Korea

  • Jungtae Song;Irena Yosephine;Sungchan Jun;Chulung Lee
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.1
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    • pp.99-106
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    • 2023
  • 글로벌 팬데믹 사태는 항공 수요에 부정적인 영향을 끼치는 요소 중 하나다. 글로벌 팬데믹으로 인해 한국은 2020년과 2021년의 항공 승객 수가 2019년 대비 각각 68.1%와 47% 감소했다. 본 연구는 지난 20여년 동안 발생한 4대 팬데믹 특성을 분석, 전염병의 영향을 연구하는 것을 목표로 한다. SARS, H1N1, MERS 및 COVID-19의 발생기간 동안 한국의 항공 여객 및 화물 수요에 대한 실증 데이터를 활용하여 영향력을 분석한다. 또한 머신러닝 회귀 모델을 구축하여 향후 발생할 다른 전염병 대한 항공 수요를 예측하고자 한다. 연구 결과, 전염병이 항공 운항편수와 승객에 부정적인 영향을 미친다는 사실을 발견하였다. 반면화물 수송에는 긍정적인 영향을 미친다는 분석 결과를 도출하였다. 본 분석에 활용되는 회귀 모델은 팬데믹 기간 동안 항공수요를 예측하는 데 평균 86.8%의 기능을 보였다. 또한 본 연구는 특정 국가의 팬데믹 상황보다 전 세계적인 팬데믹 상황이 항공 운송 수요에 더 많은 영향을 미친다는 것을 보여준다.