• Journal of the Korean Regional Science Association
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• v.8 no.2
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• pp.11-26
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• 1992

In spite of her abundant natural resources for tourist industry, Kangreung and Sokcho area became lagged in economic development during the national industrialization. The major purpose of this study is to exactly purpose of this study is to exactly measure the impacts of tourist industry on regional development. Through the regional input-output analysis, we found some critical facts: (1) Input coefficients are relatively high in those industries as fish products, food and drink products, and printing and publishing. (2) Input coefficients are high in fiber and apparel products, and other manufac-turing. (3) Induced production effects are high in chemical and coal products, fish products, food and fish products, printing and publishing, and public administration for Sokcho. (4) As for the induced employment effect, food and lodging, other services, wholesale and retail show high coefficients. (5) As for the location quotients, food and lodging, fish products, transportation and ware housing are identified as basic industries. Through the questionnaire survey, we also found some important facts: (1) Residents tend to evaluate employment effects higher than the income effects from resort-related development. (2) Pollution, forest demolition, general price increase, and traffic congestions are more serious than ever reported. (3) Willingness to participate in resort development is high, but is discouraged by the lack of regional capital. Based on these findings, we suggest some future directions of tourist industry: (1) blocking the leakage of income produced in tourist and tourist industry, (2) connection between fishery and tourist industry, (3) development of tourist route, and (4) administrative reshuffling that helps joint development between private and public sectors.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1108-1121
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• 2019

As the quality and level of life rise, many people are doing search for various pieces of information about tourism. In addition, users prefer the search methods reflecting individual opinions such as SNS and blogs to the official websites of tourist destination. Many of previous studies focused on a recommendation system for tourist courses based on the GPS information and past travel records of users, but such a system was not capable of recommending the latest tourist trends. This study thus set out to collect and analyze the latest SNS data to recommend tourist destination of high interest among users. It also aimed to propose an altered TSP algorithm to recommend the optimal routes to the recommended destination within an area and a system to recommend the optimal tourist courses by applying the Elasticsearch engine. The altered TSP algorithm proposed in the study used the location information of users instead of Dijkstra's algorithm technique used in previous studies to select a certain tourist destination and allowed users to check the recommended courses for the entire tourist destination within an area, thus offering more diverse tourist destination recommendations than previous studies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.929-937
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• 2021

This present research seeks to explore the empirical evidence about the relation between quality of destination and Islamic attribute of destination on tourist satisfaction. This research was conducted at the tourism sector in West Java, Indonesia. The participants were Muslim foreign tourists who were traveling to West Java, Indonesia. The total number of participants in the research was 200. Data collection was carried out using a questionnaire. Hypotheses were tested using structural equation modeling methods with AMOS version 23. The exogenous variables in this research consisted of the quality of the destination and Islamic attribute of destination. Tourist satisfaction was an endogenous variable in this research. We used a quantitative approach and structural equation modeling to examine the research hypotheses. The results showed that there was a positive and significant effect of the quality of destination on the tourist satisfaction, and the quality of destination positively affected Islamic attribute of destination, but Islamic attribute of destination had no significant effect on tourist satisfaction. We also found that Islamic attribute of destination did not mediate the relation between quality of destination and tourist satisfaction. We provided recommendations to strengthen or improve the quality of destination in order to increase tourist satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8228-8233
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• 2015

This study was examined for perception of introduction and adaptation stages focused on the tourist police in Seoul Metropolitan Police Agency. Seoul Metropolitan tourist police operates that is installed the first in Korea. Through in-depth interviews, we collected and analyzed data on the purpose of the tourist police, operating direction, the areas of activity, job characteristics, working environment. Awareness about activities of the tourist police members can have a significant impact on tourist police installations in the future. The survey was conducted for tourist police officers 16 people in the Seoul Metropolitan Police Agency, and analysis of the data was carried out through a qualitative research analysis program NVivo 10.0. Recognition was divided that Start step, Trial-and-error step, Skilled step, Completion step from the work experience of the tourist police and it analyzed the difference between each step. Each stage found difference in the individuals, working periods, also it was confirmed that difference of opinion about the settlement and completeness in the tourist police.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.4
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• pp.42-55
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• 2013

The purpose of this study is to figure out the place characteristics of preferable city tourist attractions through the contents analysis of non-academic literatures such as tourist guidebooks and web materials. The most preferable Seoul tourist attractions were selected by their frequency in literatures including Namsan and Hangang as 'natural' places, Dugsu Palace and Gyungbok Palace as 'historical' places, Itaewon and Daehak-ro as 'lively-cultural' places that were classified by their relativistic character. The main findings of the research are as follows. The essential place characteristics of tourist attractions were synthesized in urban, regional and place scale respectively. While 'contrast' was found to be the most distinguished character of the tourist attractions in the urban context, 'connectivity' was found to be the most distinguished character of the tourist attractions in the regional context. In addition, both 'visibility' and 'experience' were found to be the most distinguished characters of the tourist attractions in the place context. The characteristics of these places seem to be the universal fascination factors of city tourist attractions currently recognized by ordinary citizens. We expect to further strengthen the city identity and the city tourism effect by adopting those research results systematically to the urban environment. Therefore, it is needed to vitalize the urban tourist attractions that we make them to be more 'contrasting' with urban areas surrounding them, more 'connective' with vicinity areas and more 'visibly fascinating' and 'experienced actively and meaningfully' in each place of tourist attractions.

• Culinary science and hospitality research
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• v.1
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• pp.91-102
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• 1995

The result of this study will be influenced on hotel food & beverage to large extent. And that is linked with want the government is pursuing. What this study focused are followings. First, this study is tried to survey the role of tourist hotel F & B as eating out industry. Second, this study analyzed the most important factors when selecting the tourist hotel F & B. Third, this study looked for the further alternatives on the issues of tourist hotel F & B. Such focuses as these can be expected various effects, and several of those are as followings. First, this study can expect the understanding on the flow of F & B in the world and the development of ingenious management strategies. Second, this study can promote the developing effort of undeveloped korean food, and have an largely effect on from the tourist hotel restaurant to deluxe restaurant, public restaurant, and home. Third, this study will provide the opportunity to confirm the role and direction of tourist hotel, which maximizing affirmative effect.

• Journal of Korean Society of Rural Planning
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• v.10 no.1 s.22
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• pp.35-40
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• 2004

The expansion of demand associated with leisure, which has resulted from the elevated standard of living, has made the domestic tourist demand diversified. Recently, people, especially urban population, show the higher interest and need for environmentally friendly rural tourism. This study aims to grasp the utilization of recreation roles of tourist farms and then to evaluate the economic value for recreation roles of tourist farm using Traveling Cost Method. Data were collected from a survey in 2003. The results show that its value is 62,037 won per head annually and so the tourist farms play their role of connecting the urban population with rural amenity.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• Journal of Platform Technology
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• v.11 no.6
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• pp.21-27
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• 2023

In this paper, we introduce a reinforcement learning-based algorithm for personalized tourist path recommendations. The algorithm employs a reinforcement learning agent to explore tourist regions and identify optimal paths that are expected to enhance tourism experiences. The concept of tourism experience is defined through points of interest (POI) located along tourist paths within the tourist area. These metrics are quantified through aggregated evaluation scores derived from reviews submitted by past visitors. In the experimental setup, the foundational learning model used to find tour paths is the Deep Q-Network (DQN). Despite the limited availability of historical tourist behavior data, the agent adeptly learns travel paths by incorporating preference scores of tourist POIs and spatial information of the travel area.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.735-745
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• 2013

Tour industry has been growing with increasing of people leisure time quantitatively as well as qualitatively. Especially, region tourist industry shows rapid growth because of the development of transportation and communication. Tourist contents that representing the region have been developing briskly. However there are many nominal tourist contents have just region differentiation with same attribute and composition. It has to be consider about tourist first not a contents provider or a developer. To be memorable tourist contents and to connect to consumption, understanding about tourist is needed. So 'Experience' will be standards when tourist contents is planned. In that sense, experience 4factors from Experience Economy and Challenge-skill model from Flow will be frames for giving shape to develop tourist contents. Experience 4factors from Experience Economy suggests 4factors for the superb enjoyment to tourists, and Challenge-skill model from Flow proposes balanced contents for understanding tourists. They will contribute to suggest planning frames for sustainable tourist contents and it lead to tourists' reinstation.