• Journal of Korean Society of Transportation
• /
• v.24 no.2 s.88
• /
• pp.53-63
• /
• 2006

The objective of this study is to estimate Korean transportation service index (KTSI), and to explore possible uses of the KTSI. The KTSI was monthly index to represent the level of passenger and freight services by road, railroad, air and maritime modes, which was developed from eight series. Four of these series measure the level of passenger services (passenger-kilometers) by road, railroad. air and maritime modes : monthly data from January 1995 to December 2004. Similarly. the remaining four series measure the level or freight activity (tonnage) by four modes during the same period. Given the weights of modal revenues, component series were aggregated into two indexes (passenger index and freight index) and a composite index using Chained Fisher Ideal index. which was a geometric mean of the Laspeyres index and the Passche index. The Fisher Ideal index is one of the 'superlative' indexes, which diminish 'substitution bias' as current-weighted indexes. As a result, the freight index and the composite index explain economic conditions better than the passenger index. Based on the composite index. the newly estimated KTSI shows an average lag time of one and a half years at peaks and three months at troughs in comparison with domestic business cycles. Nonetheless. the following efforts are needed for more credible and useful estimates; establishment of data collection scheme in time. credibility uplift of used data, development of various indexation methods.

• Journal of Digital Convergence
• /
• v.16 no.5
• /
• pp.137-143
• /
• 2018

Korea's air passenger traffic has been growing steadily. In this paper, we propose a forecasting model of air passenger demand to ascertain the growth trend of air passenger transportation performance in Korea. We conducted a simulation based on System Dynamics with the demand as a dependent variable, and international oil prices, GDP and exchange rates as exogenous variables. The accuracy of the model was verified using MAPE and $R^2$, and the proposed prediction model was verified as an accurate prediction model. As a result of the demand forecast, it is predicted that the air passenger demand in Korea will continue to grow, and the share of low cost carriers will increase sharply. The addition of the Korean transportation performance of foreign carriers in Korea and the transportation performance of Korean passengers due to the alliance of airlines will provide a more accurate forecast of passenger demand.

• Journal of Korea Port Economic Association
• /
• v.40 no.1
• /
• pp.119-131
• /
• 2024

This study examines the interrelationship between coastal passenger demand and fares for 101 coastal passenger routes in Korea during the 2018 to 2022 period. The two-stage least squares method through a panel data simultaneous equations model was estimated to the effects of individual route characteristics and regional characteristics on the performance and fares of coastal passenger transportation. The estimated results indicate that the endogenous variable, fare, and the exogenous variables, route characteristics, route distance, and the instrumental variable, frequency, affect the demand for coastal passengers. In the short-run pricing function, the exogenous variables, capacity, speed, and route distance, as well as the endogenous variable, coastal passenger transportation performance, affect the coastal passenger fare. This study is expected to provide useful implications for domestic coastal passenger demand and pricing in relation to coastal passengers.

• The Journal of shipping and logistics
• /
• v.35 no.1
• /
• pp.21-50
• /
• 2019

The aim of this study is to analyse a characteristic analysis of coastal passenger vessels' voyage scheduling using the Panel Regression Analysis. The GLS and Fixed Effect Analysis show that the number of canceled flights and passenger transport performance have a positive impact on the voyage scheduling, and that the freight transport performance and freight income vary from model to model. Also, through the LSDV and OLS analysis, the trend of cluster formation by regional office was confirmed. This indicates that there are frequent changes in passenger ship companies and ships, and in-depth plans are needed in various respects rather than the expansion of unconditional ships. Subsequent studies need to generate more detailed and practical results by further analysis of detailed factors, dividing them by route and vessel type.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.23 no.1
• /
• pp.33-39
• /
• 2017

This study identified a candidate area and route for construction of a hub & spork system for coastal passenger ships. For this purpose, the characteristics of the hierarchy structure of other transportation and the operating system of coastal passenger ships were analyzed. Evaluation factors for selecting alternative areas and routes for the construction project were then extracted. Secondly, the relative importance of these evaluation factors for alternative routes were calculated using the Analytic Hierarchy Process (AHP) method. Finally, the importance of these evaluation items and quality of the alternative areas and routes were considered to select a primary candidate area and route. Therefore, four evaluation items such as the number of passenger-ship routes, the number of passengers, the number of cars, and the number of residences were extracted, and the Mokpo area was selected as the target area. In addition, four evaluation items such as he number of islanders, the number of local governments, geographical conditions and passenger ship operators were extracted, and the Yeonggwang route was selected as priority candidates for this construction project. Meanwhile, for the expansive implementation, step-by-step promotion is needed along with the expansion of terminal facilities, the securing of large ships, and the introduction of a semi-public system for coastal passenger ships.

• Journal of Korean Society of Transportation
• /
• v.25 no.2 s.95
• /
• pp.27-37
• /
• 2007

This research has been carried out for assessing the competitiveness of the major Asian airports based on the quality of service provision. Five airports were selected for evaluation: Hong Kong, Singapore Changi, Tokyo Narita, Bangkok Don Muang, and Seoul Incheon International Airport. For evaluation of these selected airports, AHP and IPA techniques were applied. Five main factors were defined through a literature review of previous studies: concreteness, convenience, economic efficiency, respondency, and accessability. Hong Kong International Airport had the strongest airport in the Asian region, followed by Incheon International Airport. The least competitive airports were Bangkok and Tokyo Narita International Airport in regards to users' perception for the provision of services at the airport.

• The Journal of Bigdata
• /
• v.5 no.1
• /
• pp.181-188
• /
• 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.

• Proceedings of KOSOMES biannual meeting
• /
• 2004.11a
• /
• pp.95-100
• /
• 2004

This study is about current operating system and development process of remote island route. 14 companies are providing safe transportation service for remote island residents with total 30 boots on 27 routes. Each route transit analysis shows that the number of passenger tends to increase every year. In order to enhance customer satisfaction, more constructive improvement is demanded, such as implementing operation evaluation on each charter service provider.1he result obtained from this study is to be utilized as basic document for remote island route development process in semi-long run basis.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.11 no.1 s.22
• /
• pp.83-88
• /
• 2005

This study is about current operating system and development process if remote island route. 14 companies are providing safe transportation service for remote island residents with total 30 boots on Z7 routes. Each route transit analysis shows tint the number of passenger tends to increase every year. In order to enhance customer satisfaction, more constructive improvement is demanded, such as implementing operation evaluation on each charter service provider.1he result obtained from this study is to be utilized as basic document for remote island route development process in semi-long run basis.

• Journal of Korean Society of Transportation
• /
• v.32 no.4
• /
• pp.347-356
• /
• 2014

Passenger cars occupy about 74% among registered vehicles in Korea and the ratio of transportation mode sharing is approximately 60% in the passenger transport part. However, there is no statistics related to travel characteristics of passenger cars, and official statistics are estimated from O/D travel data. Thus, National Transportation DataBase Center in KOTI has attempted to construct various statistical data through Korea Vehicle Use Survey. Based on these data, Analysis of Variance (ANOVA) was conducted to investigate the differences in travel characteristics of each analysis group. As a result, all of the explanatory variables(weekday vs. weekend, metropolitan area vs. non-metropolitan area, male vs. female, commute time vs. other time, routine purpose vs. non-routine purpose) were found to be different across households. In addition, travel distances per trip of weekday, metropolitan area, male, commute time, and non-routine purpose are longer than the opposite variables. Also, the trip distances of small size(1 to 2 persons) households are shorter compared to large size(more than 5 persons) households.