• Journal of the Korean Association of Geographic Information Studies
• /
• v.13 no.2
• /
• pp.133-145
• /
• 2010

Recently, due to advances in information technologies, the trend of tour types has been changing from package tour to independent tour. Independent tour is a tour which a traveler collect airplane ticket, travel destinations, sightseeing time, transport, lodging and plan traveling schedules by oneself. But the traveler has many difficulties for predicting tour schedules, due to lack of adequate information of travel destinations. In this study, traveling schedule prediction method which to minimize the cumulative fatigue of tourist for use of unnecessary transport is proposed using travelling salesman problem algorithm. It is considered moving time between sightseeing, sightseeing time on destination and traveling time for a day.

• The Journal of the Korea Contents Association
• /
• v.13 no.6
• /
• pp.469-480
• /
• 2013

This study suggests 12 products regarding the pending question of tourism package price mechanism which is linked directly and indirectly to Jeju Tourism, and shows the following conclusions through inspection in mental accounting principles and framing effect based on prospect theory. First, when presenting the price list of the tourism package, it is needed to present in price bundling. Second, it is proven that it is desirable that information about discount prices open the individual discount information of the basic package and option package to public. Third, it is discovered that experienced tourists in purchasing tourism products are more sensitive to price information (price discount) than inexperienced tourists, so that framing effect conform to Knowledge-assembly theory. The current questions of this study are that 'no discount' information should be presented in bundling, that the method of framing is important in presenting discount product information. It is required not only to grasp the viewpoint of modern people in purchasing tourism products, but also to present ready-to-serve products which can save time, effort, cost to give stability in mental accounting principles.

• The Journal of Bigdata
• /
• v.5 no.1
• /
• pp.29-39
• /
• 2020

Purpose The atmosphere of respect for individual tastes that have spread throughout society has changed the consumption trend. As a result, the travel industry is also seeing customized travel as a new trend that reflects consumers' personal tastes. In particular, there is a growing interest in 'film-induced tourism', one of the areas of travel industry. We hope to satisfy the individual's motivation for traveling while watching movies with customized travel proposals, which we expect to be a catalyst for the continued development of the 'film-induced tourism industry'. Design/methodology/approach In this study, we implemented a methodology through 'OCR' of extracting and suggesting film location information that viewers want to visit. First, we extract a scene from a movie selected by a user by using 'OpenCV', a real-time image processing library. In addition, we detected the location of characters in the scene image by using 'EAST model', a deep learning-based text area detection model. The detected images are preprocessed by using 'OpenCV built-in function' to increase recognition accuracy. Finally, after converting characters in images into recognizable text using 'Tesseract', an optical character recognition engine, the 'Google Map API' returns actual location information. Significance This research is significant in that it provides personalized tourism content using fourth industrial technology, in addition to existing film tourism. This could be used in the development of film-induced tourism packages with travel agencies in the future. It also implies the possibility of being used for inflow from abroad as well as to abroad.

• Korean Management Science Review
• /
• v.25 no.1
• /
• pp.93-106
• /
• 2008

This study is focused on the problem of seat allocation for group travel demand in airlines. We first explain the characteristic of group demand and its seat allocation process. The group demand in air travel markets can be classified into two types : incentive and package groups. Allocating seats for group demand depends on the types of group demand and the relationship between airlines and travel agents. In this paper we concentrate on the package group demand and develop an optimization model for seat allocation on the demand to maximize the total revenue. With some assumptions on the demand distribution and the linear approximation technique, we develop a mixed IP model for solving our problem optimally. From the computational experiments, we can find our optimization model can be applied well for real-world application.

• Journal of the Korean association of regional geographers
• /
• v.11 no.4
• /
• pp.497-510
• /
• 2005

The purpose of this study was to examine the image similarity, preference, and the attribute recognition using multidimensional scaling. The analyses were carried out by 5 spa destinations located in Choongchung area. The results were as followings: first, considering the image similarity, the image of Suanbo & Onyang and Dogo & Asan were similar except for the Yusung. Second, considering the attribute recognition, Yusung had a stronger attribute reflecting spa tradition when compared to other competitive spa destinations. Onyang showed a strong attribute of facilities. Dogo had a stronger point about use cost. Suanbo had relatively strong attributes in terms of facilities, customer service, and accessability. However, the water quality of spa destination and activities were not reflected in attribute recognition because these two attributes was farthest from the spa destination. Third, considering the preference of selecting spa destinations, package tourists had a strong preference about Yusung, individual tourists, family, incentive tourists prefer Suanbo, followed by Dogo and Yusung. Group tourists had a strong preference about Dogo.

• Culinary science and hospitality research
• /
• v.15 no.1
• /
• pp.47-58
• /
• 2009

Recently, tourists and sightseers are increasingly showing their interests in the native local food cultures as their living standards improve. This is why the local autonomy bodies are vigorously trying to develop their local native foods as tourism commodities, which is a part of their efforts to bring a life to their local economies. This study explores the solutions to promote the native local foods of Jeonju area as a tourism item, eventually contributing to the progress of the local economy. The target population of this study was the owners of native local food restaurants in Jeonju area, and the survey was conducted from February 10th to 25th, 2008. For data analysis, frequency analysis was used. In order to achieve this goal, analysis on local restaurant managers for their business operation should be conducted. The results showed they had daily sales of under 100,000 won and did restaurant promotions through pamphlets, brochures and so forth. The development of food was carried out mostly by the restaurant owners and the restaurant management type was independent. To activate the food tourism in Jeonju area, it is necessary to develop a representative native local food restaurants of Jeonju area as a tourism attraction, excavating new food festivals and food tourism courses suited to different areas and developing various food ingredients and spice packages.