• Title/Summary/Keyword: Travel Application

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A Study of Appropriate Amounts and Applicable Ranges of the Travel Time Values of Goods in Korea (우리나라 화물 시간가치의 적정 크기와 적용 가능 범위 연구)

  • Choi, Changho;Park, Dongjoo
    • Journal of the Korean Society for Railway
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    • v.16 no.5
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    • pp.418-429
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    • 2013
  • This study assesses the appropriate amounts and applicable ranges of travel time values for freight transport modes in Korea. The findings suggest that it is possible to determine appropriate sizes and applicable ranges of travel time values of goods set for road transport mode (i.e. truck), whereas those for railway, inland waterway, marine, and air transport modes are not as easily estimated. The adequate travel time value for trucks is 20,000won/vehicle hour, and the application range of travel time value of trucks is 17,000~23,000won/vehicle hour considering other variables. The most adequate estimation method of determining the travel time value for road transport is the wage rate method, whereas the marginal rate of substitution method is more rational for railway, inland waterway, marine, and air transport modes considering the application purpose and characteristics of the goods transported.

A Study on Development of Travel Application UI Design for Improving User Experience (사용자 경험 개선을 위한 여행 애플리케이션 UI디자인 개발에 관한 연구)

  • Lee, Ji-Yeon;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.369-374
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    • 2017
  • The object of this study is to offer domestic and overseas travel informations efficiently for domestic tourists growing far beyond 15 million even now through user centered interface more convenient and accurate. In a method of research, 100 people were surveyed after recasting of evaluation questionnaire about UI design using 5-point Likert and nominal scale and additionally, the in-depth interviews were given to 10 people who use travel application frequently. In consequence, this interview revealed where users feel convenience and difficulty and want improvement of usability, information accuracy, etc. Finally, this study has a meaning to suggest new UI prototypes and various guideline about additional UI design on the basis of surveyed parts.

The Development of a Restaurant Recommendation App for Travel Destinations Using Public Data (공공데이터를 이용한 여행지 맛집 추천 앱개발 연구)

  • Lee, Jongmin;Jeong, Seonghwa;Choi, Minjin;Park, Youngmi;Park, Minsook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.392-394
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    • 2021
  • This paper is a thesis on an automatic restaurant recommendation application for tourists traveling to travel destinations. when you run the application at any travel destination in KOREA, it is an application that recommends desired services such as Korean, Chinese, Western, etc, regardless of the type of food, so that restaurant rankings are poured out in tourist destinations. not only recommending restaurants, but also collecting related information DB so that you can easily find restaurants in tourist destinations through reviews and stars such as hygiene conditions, prices, and compliance with quarantine regulations due to the recent coronavirus. the application was developed

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Determination of Vehicle Fleet Size for Container Shuttle Service (컨테이너 셔틀운송을 위한 차량 대수 결정)

  • 고창성;정기호;신재영
    • Korean Management Science Review
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    • v.17 no.2
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    • pp.87-95
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    • 2000
  • This paper presents two analytical approaches to determine the vehicle fleet size for container shuttle service. The shuttle service can be defined as the repetitive travel between the designated places during working period. In the first approach, the transportation model is adopted in order to determine the number of vehicles required. Its advantages and disadvantages in practical application are also discussed. In the second approach, a logical network which is oriented on job is transformed from a physical network which is focused on demand site. Nodes on the logical network represent jobs which include loaded travel, loading and unloading and arcs represent empty travel for the next jobs which include loaded travel, loading and unloading and arcs represent empty travel for the next job. Then a mathematical formulation is constructed similar to the multiple traveling salesman problem (TSP). A solution procedure is carried out based on the well-known insertion heuristic with the real world data.

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A study on the User Satisfaction of Travel behavior (관광지 선택행동에 따른 만족도에 관한 연구)

  • 박신자
    • Journal of Applied Tourism Food and Beverage Management and Research
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    • v.10
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    • pp.139-158
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    • 1999
  • This study is concerned with analysis of user satisfaction for travel behavior. It is aimed at investigating the socioeconomic characteristics, motivation, and use pattern of the visitors at tour. For tourists' perception and preference analysis, multi-dimensional scaling was used. It is left that this type of marketing analysis of tourism and travel offers great potentional for those concerned with the developement and management of tourist vacation areas. First, the study demanstrated clearly that different tourist and portential visitors to a tourist area seek different benefit bundles from their vacation in a particular tourist areas. Second, it demonstrated that a benefit segmentation approach to tourism and travel would be the most effective that the demographic segmentation approach usually pursued in the tourism and travel industry. Form a methodological viewpoint, it has demonstrated an application of multidimensional scaling techniques to marketing in an important industry.

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Optimal dwelling time prediction for package tour using K-nearest neighbor classification algorithm

  • Aria Bisma Wahyutama;Mintae Hwang
    • ETRI Journal
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    • v.46 no.3
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    • pp.473-484
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    • 2024
  • We introduce a machine learning-based web application to help travel agents plan a package tour schedule. K-nearest neighbor (KNN) classification predicts the optimal tourists' dwelling time based on a variety of information to automatically generate a convenient tour schedule. A database collected in collaboration with an established travel agency is fed into the KNN algorithm implemented in the Python language, and the predicted dwelling times are sent to the web application via a RESTful application programming interface provided by the Flask framework. The web application displays a page in which the agents can configure the initial data and predict the optimal dwelling time and automatically update the tour schedule. After conducting a performance evaluation by simulating a scenario on a computer running the Windows operating system, the average response time was 1.762 s, and the prediction consistency was 100% over 100 iterations.

Laser Weldability of Sheet steels for Tailored Blank Manufacturing(1) (테일러드 블랭크용 박판 강재의 레이저 용접성 (1))

  • 김기철
    • Journal of Welding and Joining
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    • v.16 no.1
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    • pp.77-87
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    • 1998
  • This paper deals with the effect of laser welding parameters on the weld formation. Thin steels for automotive application were prepared so as to be welded with high power carbon dioxide laser system. Major process parameters were position of focus and travel speed. The effect of shielding gas was also discussed by employing the high speed photometry. Test results showed that the optimal position of focus varied in accordance with the joint configuration; bead-on-plate, butt or lap welding. It was recommended that the position of focus for the lap welding be located at slightly inner part of the material to be welded. In this case, however, it was noticeable that the weld penetration ratio, d/t$_{0}$ dropped drastically at the critical region. Results also demonstrated that both the bead width and penetration reduced as the travel speed increased. The penetration ratio showed two distinct regions; stabilized zone at the lower range of the travel spped and sudden drop zone at the higher range of travel speed. Lower limit of the penetration for acceptable weld was proved to be about 90% of the parent metal thickness based on the physical properties of the weld. Mixed gas application for both the shielding of molten metal and laser induced plasma control was recommended as far as the penetration was concerned.d.

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Effects of Information Quality of Online Travel Agencies on Trust and Continuous Usage Intention: An Application of the SOR Model

  • LEE, Seul Ki;MIN, So Ra
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.971-982
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    • 2021
  • The purpose of this study was to investigate the relationship between information quality, Online Travel Agency (OTA) trust, and continuous usage intention provided by OTA through the application of the SOR(Stimulus-Organism-Response) model. To achieve the purpose of the study, 234 responses were used for analysis, and the hypotheses were tested through the SPSS v.21 program and AMOS v.21 programs. The research results can be classified into the following three categories. First, it was determined that accuracy, timeliness, and usefulness among the factors for information quality had a significant positive effect on OTA trust and continuous usage intention. Second, it was determined that OTA trust was found to have a significant positive effect on continuous usage intention. Third, it was determined that OTA trust had an indirect effect on the relationship between accuracy, timeliness, usefulness, and continuous usage intention among the factors for information quality. This study looked at the lower dimension of information quality, which was insufficient in the field of OTA. This study can be used as basic data to, in practice, build a user-centered informational provision environment by identifying the factors that promote the continuous usage intention of consumers, which is linked to the revenue of online travel agencies.

Estimation of Bus Travel Time Using Detector for in case of Missed Bus Information (버스정보 결측시 검지기 자료를 통한 버스 통행시간의 산정)

  • Son Young-Tae;Kim Won-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.4 no.3 s.8
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    • pp.51-59
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    • 2005
  • To improve the quality of bus service, providing bus ravel time information to passenger through station screen. Generally, bus travel time information predict by using previous bus data such as neural network, Kalman filtering, and moving average algorithms. However, when they got a difficulty about bus travel time information because of the missing previous bus data, they use pattern data. Generally, nevertheless the difference of range is big. Hence in this research to calculate the bus travel time information when the bus information is missed, use queue detector's data which set up in link. The application of several factors which influence in bus link travel time, we used CORSIM Version 5.1 simulation package.

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Short-Term Prediction of Travel Time Using DSRC on Highway (DSRC 자료를 이용한 고속도로 단기 통행시간 예측)

  • Kim, Hyungjoo;Jang, Kitae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.6
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    • pp.2465-2471
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    • 2013
  • This paper develops a travel time prediction algorithm that can be used for real-time application. The algorithm searches for the most similar pattern in historical travel time database as soon as a series of real-time data become available. Artificial neural network approach is then taken to forecast travel time in the near future. To examine the performance of this algorithm, travel time data from Gyungbu Highway were obtained and the algorithm is applied. The evaluation shows that the algorithm could predict travel time within 4% error range if comparable patterns are available in the historical travel time database. This paper documents the detailed algorithm and validation procedure, thereby furnishing a key to generating future travel time information.