• Journal of Distribution Science
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• v.18 no.6
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• pp.25-35
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• 2020

Purpose:Travel agencies have use digital tools in order to shift the paradigm in how business is conducted. Online travel agencies provide the same services as a normal travel agency, including hotels, transportation, guided tours, reservations, and related services, but using an "online platform. Travelers planning a trip can use a lot of forms to collect information and have access to a larger amount of information, so the factors that influence the user's behavioral intention are very important. This research has the conducted to find what factors lead to the attitudes of consumers in using OTA using the UTAUT model. Research design, data and methodology: The object of this study were respondents of a google survey using convenient sample extraction method, chosen among consumers who gathered information, or purchased a product. A total of 217 of the 235 questionnaires Google survey answered were used in the final analysis, excluding insincere responses. Using PSS v.21 and AMOS v.21, frequency analysis, feasibility and reliability analysis, path analysis was performed. Results: UTAUT affects OTA use satisfaction and trust, and OTA satisfaction and trust affect behavior intention. Conclusions: Research was conducted using the UTAUT model to explore factors that affect the attitudes of users of online travel agencies (OTA).

• Journal of Intelligence and Information Systems
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• v.4 no.2
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• pp.23-34
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• 1998

Travel time forecasting, especially public bus travel time forecasting in urban areas, is a difficult and complex problem which requires a prohibitively large computation time and years of experience. As the network of target area grows with addition of streets and lanes, computational burden of the forecasting systems exponentially increases. Even though the travel time between two neighboring intersections is known a priori, it is still difficult, if not impossible, to compute the travel time between every two intersections. For the reason, previous approaches frequently have oversimplified the transportation network to show feasibilities of the problem solving algorithms. In this paper, forecasting of the travel time between every two intersections is attempted based on travel time data between two neighboring intersections. The time stamps data of public buses which recorded arrival time at predetermined bus stops was extensively collected and forecast. At first, the time stamp data was categorized to eliminate white noise, uncontrollable in forecasting, based on wavelet conversion. Then, the radial basis neural networks was applied to remaining data, which showed relatively accurate results. The success of the attempt was confirmed by the drastically reduced relative error when the nodes between the target intersections increases. In general, as the number of the nodes between target intersections increases, the relative error shows the tendency of sharp increase. The experimental results of the novel approaches, based on wavelet conversion and neural network teaming mechanism, showed the forecasting methodology is very promising.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.370-372
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• 2022

In an on-demand economy that provides products and services immediately in response to consumer needs, consumers have a significant influence on pricing. In the travel-related fields, service providers are also making great efforts to reflect the needs of consumers and provide better services. In this paper, unlike many travel-related service platforms where sellers unilaterally determine prices, we propose a reverse auction-based service platform method in which consumers propose travel-related services and prices. The proposed matching service platform is expected to be able to provide two-way services differentiated from existing standardized travel-related services by analyzing the needs of various consumers and reflecting the collected response data.

• Journal of Distribution Science
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• v.22 no.7
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• pp.63-71
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• 2024

Purpose: The main objective of this research is to encourage the increase of local MSME businesses through the sustainable tourism sector in South Sulawesi by proposing a research model that focuses on increasing revisit intention. This, in turn, is expected to stimulate local trade and strengthen tourism attractiveness. Research design, data and methodology: A quantitative research method involving 190 domestic tourist respondents was employed, utilizing a questionnaire for data collection. Structural Equation Modeling (SEM) analysis through AMOS software was applied, and the Sobel test to assess indirect effects. Results: The research findings indicate that memorable customer experiences and travel motivations significantly influence destination image. However, travel motivation does not significantly affect revisit intention. Furthermore, memorable customer experiences and destination image significantly impact revisit intention. Notably, destination image plays a significant mediating role in the relationship between travel motivation and increased revisit intention. Conclusions: Memorable customer experiences and travel motivations directly contribute to the formation of a more positive destination image. Furthermore, memorable customer experiences drive the revisit intention, but travel motivation is not significant. Memorable customer experiences only influence revisit intention through the formed destination image. Additionally, the improvement of memorable customer experience and destination image increased revisit intention.

• Journal of the Korean association of regional geographers
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• v.11 no.1
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• pp.54-70
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• 2005

The purpose of this study is to clarify motives, itinerary and general patterns associated with the traveling of the upper class in the Chosun Dynasty based on twenty travel accounts of Mt. Chungryang. In addition, previous studies were referred to in order to compare these trips to Mt. Chungryang with those which were undertaken to Mt. Kumgang so as to identify the unique characteristics of those involved with the trips to Mt. Chungryang and of these trips in themselves. Through this process, unique characteristics, such as the travelers' academic backgrounds and place of origin, as well as how these travelers' relationship with their teachers influenced the motivation for these trips were uncovered, as were the processes through which travel schedules and companions were selected. Moreover, the researcher identified similarities and differences between the travel of Mt. Chungryang and Mt. Kumgang in terms of the travelers' motivation for the trip, the transportation methods they employed, and the kind of accommodation they sought. Moreover while similarities were also uncovered with regards to the travel practices of the literati class during this time, differences emerged in terms of their travel dates and schedules.

• Journal of Navigation and Port Research
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• v.29 no.5 s.101
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• pp.465-473
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• 2005

In the analysis of the foreign cases on the use of Transit Signal Priority(TSP), the reduction in bus travel time ranged from 6 to $32\%$. This study demonstrates how TSP can be applied to Ulsan Metropolitan City. TSP techniques were used on the bus routes that run eastward for 4.07 kilometers along Munsoo-Ro, a major artery in the most congested part of the city. The simulation was performed on one hour of peak traffic time, using the two TSP strategies of Early Green and Extended Green. The use of the Early Green strategy resulted in an average decrease in travel time ranging from 18.1 to $25.8\%$ and an increase in average travel speed ranging from 30.9 to $40.1\%$. The Extended Green strategy resulted in an average decrease in travel time ranging from 18.1 to $30.3\%$ and an increase in an average travel speed of approximately $30.1\%$. This study demonstrates that TSP is effective in decreasing travel time and increasing travel speed of the bus system in Korea.

• Journal of Korean Society of Transportation
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• v.30 no.6
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• pp.59-70
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• 2012

The relative importance of leisure trip has been increased after adopting the five-day workweek system and considering the higher income level. Thus, the value of travel time for intercity leisure trips should be estimated to conduct a reasonable benefit/cost analysis for railway construction projects. In this paper, the value of travel time was estimated separately for each trip purpose such as business, leisure, and other non-business than leisure. The estimated values of leisure travel time ranged from 5,310 to 14,185 (won/hr) by altering travel mode, and were increased by 42-107% when comparing with those of non-business travel time. Besides, how to apply the value of intercity leisure travel time for B/C analysis of railway projects was suggested. For the construction case of a railway connecting Chuncheon and Sokcho, the estimated benefit was increased by 2.3%.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.117-125
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• 2022

Recently, as users' interest for travel increases, research on a travel route recommendation service that replaces the cumbersome task of planning a travel itinerary with automatic scheduling has been actively conducted. The most important and common goal of the itinerary recommendations is to provide the shortest route including popular tour spots near the travel destination. A number of existing studies focused on providing personalized travel schedules, where there was a problem that a survey was required when there were no travel route histories or SNS reviews of users. In addition, implementation issues that need to be considered when calculating the shortest path were not clearly pointed out. Regarding this, this paper presents a quantified method to find out popular tourist destinations using social big data, and discusses problems that may occur when applying the shortest path algorithm and a heuristic algorithm to solve it. To verify the proposed method, 63,000 places information was collected from the Gyeongnam province and big data analysis was performed for the places, and it was confirmed through experiments that the proposed heuristic scheduling algorithm can provide a timely response over the real data.

• SUVANNABHUMI
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• v.15 no.2
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• pp.91-129
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• 2023

This paper reports the findings of a multimodal study conducted on 10 travel blog posts about Vietnam by seven British professional travel bloggers. The study takes a sociolinguistic view to tourism by seeing travel blogs as a source for linguistic and other semiotic materials while considering language as situated practice for the social construction of fundamental categories such as "human," "society," and "nation." It borrows concepts from Halliday's Systemic Functional Linguistics for interpersonal metafunction to develop an analytical framework to study how the co-occurrence of text and still images in these travel blog posts formulated the portrayal of Vietnam as a tourism destination and indicated the main sociolinguistic features of the blogs. The analysis of appreciation values and interactive qualities encoded in evaluative adjectives and still images show that Vietnam is generally portrayed as a country of identity and diversity. It provides tourists with positive experiences in terms of places of interest, food and local lifestyles and is cost-competitive. Strangerhood and authenticity are two outstanding sociolinguistic features exhibited in these travel blog posts. The findings of this study also underline the co-contribution of the linguistic sign, in this case evaluative adjectives, and the visual sign, in this case still images, as interpersonal meaning-making resources. To portray Vietnam, still images served as integral elements to evidence the credibility of verbal narrations. To unveil sociolinguistic characteristics of travel blogs, still images supported the linguistic realizations of authenticity and strangerhood on the posts, and in some case delivered an even stronger message than words. Not only does the study present a source of feedback from international travelers to tourism practice in Vietnam, but it also provides insights into multimodal analysis of tourism discourse which remains an under-researched area in Vietnam.

• Journal of Digital Convergence
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• v.21 no.3
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• pp.23-31
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• 2023

As COVID-19 is nearing the end, the travel industry is gradually picking up steam as the attention of those who have not traveled in nearly a few years is drawn back to travel. Accordingly, we intend to develop a travel-related application to help with travel. According to the current trend of SNS, this application provides a review function as the main function. In addition, travel records can be stored through the gallery, and the route to the destination can be conveniently viewed through navigation. People usually use multiple applications at the same time depending on their purpose when traveling. This project aims to improve convenience by developing applications that combine various functions to eliminate such hassle. The development tool uses Android Studio.