• The Journal of Information Systems
• /
• v.26 no.3
• /
• pp.171-185
• /
• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Knowledge Management Research
• /
• v.25 no.2
• /
• pp.135-153
• /
• 2024

With the recent emergence of smart tourist cities, premium mobility is being considered an important means of transportation in the tourism. However, there has been insufficient research conducted on the experience of premium mobility among its users. Accordingly, this study used CIT to analyze the components of the user experience of customers who used premium mobility. In order to specifically identify the factors that make up the premium mobility experience, 366 cases of satisfaction and 13 cases of dissatisfaction were collected through a total of 273 online surveys. As a result of the study, based on the customer's experience using premium mobility, CIT was applied to derive 6 categories and 9 sub-factors that constitute the perception of premium mobility. In particular, this study is different from existing studies in that convenience was added as a new category out of the 6 categories, and wide ride comfort and high price were derived as new sub-factors among the 9 sub-factors. Because of this, it has academic significance. Therefore, if scales suitable for quantitative research are developed based on the derived constructs, they could be widely applied to various topics related to premium mobility in the tourism field.

• Asia pacific journal of information systems
• /
• v.29 no.3
• /
• pp.448-467
• /
• 2019

In a new age of smart tourism, free independent travelers (FITs) choose their travel routes in a more diversified and less predictable way with the aid of smart services. This paper focuses on the movements of Chinese outbound FITs in the U.S. in the year of 2018. 110 places to visit (destinations) extracted from 122 travel routes recommendations on Qyer.com, a major online travel community in China, are analyzed with social network analysis (SNA). Based on the results of SNA, employing degree centrality, eigenvector centrality, betweenness centrality, network visualization, and cluster diagram methods, some preferred cities and natural attractions outside city centers (i.e., New York City (NYC), Los Angeles, San Francisco, Washington D.C., and Niagara Falls) are identified. Moreover, it is found that NYC in the East and Los Angeles in the West play a major role in the movements of Chinese FITs. This study contributes to the body of knowledge on tourist destination movements and provides valuable implications for smart service development in the tourism and hospitality industry.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.34 no.6 s.119
• /
• pp.66-77
• /
• 2007

This study intends to analyze urban peoples' leisure choice attributes of rural areas from a rural demand perspective. For this purpose, this study investigates regional attributes considered in decision making processes for rural tourism destinations of urban residents using a conjoint model as a stated preference model. Based on literature reviews, two questionnaire surveys were conducted. The first questionnaire survey was performed in 4 cities including Seoul, Daejeon, Suwon and Chuncheon with 408 urban residents. The Second questionnaire survey was performed in 5 cities including Seoul, Chuncheon, Daejeon, Jeonju and Busan with about 1,060 urban residents. The study results suggest that the most important attribute in selecting rural ares for tourism are activity programs and convenience of facility, according to part-worth and vector model. The fitness level of model is 0.986, which is very significant. Among the 5 attribute's levels, the rural residents' kindness, the traditional and the ecological programs and the facilities about sign and lodging are more critical factors than other levels. Utilities of each levels decreases as cost and arrival time increases. Regarding the result of market segmentations, respondents having intention to visit can be divided into 4 group; (1) facility or program oriented type, (2) resident's kindness oriented type, (3) arrival time oriented type, and (4) negatively participant type. The results of leisure choice attributes can provide insightful information for regional planning strategies, such as selection of the type of market segments and the key factor of facility and space planning.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.2
• /
• pp.397-404
• /
• 2018

As the usage of internet is increasing, a lot of user behavior are written in a log file and the researches and industries using the log files are getting activated recently. This paper uses the Hadoop based on open source distributed computing platform and proposes a customized tourism system by analyzing user behaviors in the log files. The proposed system uses Google Analytics to get user's log files from the website that users visit, and stores search terms extracted by MapReduce to HDFS. Also it gathers features about the sight-seeing places or cities which travelers want to tour from travel guide websites by Octopus application. It suggests the customized cities by matching the search terms and city features. NBP(next bit permutation) algorithm to rearrange the search terms and city features is used to increase the probability of matching. Some customized cities are suggested by analyzing log files for 39 users to show the performance of the proposed system.

• Journal of the Korean Society of Costume
• /
• v.63 no.4
• /
• pp.70-83
• /
• 2013

Lately, cities have been trying to build a certain brand by using its identity and culture in public designs. Cities are using its public design to show its cultural identity and to differentiate itself from other cities so it is playing a significant role in establishing a city's overall image. Public uniform is used to reflect the symbolism and identity of the city, an image of the city's culture and is used as a means of communication for specialization. Thus, the purpose of this study is to develop public uniform designs to build and strengthen the brand of Gwangju as Asia cultural hub city. Research presents a review of the literature including concept and type of a cultural city, correlativity between public design and urban competitiveness, domestic and foreign culture city branding case: focusing on Gwangju which is a cultural hub city in Asia, and then study sets up the development direction and motifs of uniform designs, and uniforms are designed by making use of the textile with symbols and logos, colors, and architectural motifs of Asian Culture Complex. Development ranges of uniforms were limited to Cultural Tourism Narrators and the Asian Culture Complex Advertisements staff uniforms, within the region of cultural tourism. Textile design, illustration, uniform simulation using Adobe Photoshop 7.0 and Adobe Illustrator CS 3 program is presented.

• Ocean and Polar Research
• /
• v.33 no.4
• /
• pp.473-483
• /
• 2011

In the recent WTO/DDA negotiations, discussions are progressing to forbid fishery subsidies which have negative effect on the natural environment and the fishery resources and to lower or to eliminate the tariff/non-tariff barriers that distort trade liberalization. As a result, linking to the weak structural environment of Korea's fishing villages; such a scheme has jeopardized the livelihood of fishermen who settle down in local fishing harbors. Against this backdrop, the government is attempting to positively respond to changes in the fishing environment in a number of different ways: promotion of fishing tourism, fishing harbor reinforcement in function, developing fishing villages, and harbors. With respect to investment by priority in fishing harbor development, it is very important to appropriately select investment targets based on objective criteria. A small number of harbors are chosen and investment plans by harbor are systematically devised, economic feasibility and the effects of investment are analyzed and reviewed in relation to each target harbor. This paper is designed to review and assess objective evaluation methods and the degree of importance for the designation of target harbors, dealing with local harbors in Chung Nam Do as a model. Each local government has tried to reorganize existing harbors and develop new harbors, considering a fall in the number of fishing vessels and the expansion of maritime leisure activities. In order to overcome the limit of existing harbors in function, to raise the income of fishermen, and to activate tourism, they have shifted their focus from simple functions such as vessel evacuation and anchoring to harbor beautification, which can work as a basis for fishing tourism. This paper points out that the AHP analysis method for prioritizing local harbors in Chung Nam Do should help to be chosen target harbors in other cities and provinces. Each local government has attempted to reorganize existing harbors and to develop new harbors, taking into consideration the decline in the number of fishing vessels and the expansion of maritime leisure activities. In order to overcome the limited number of functional harbors, to raise the income of fishermen, and to boost tourism, they have shifted their focus from simple functions, such as vessel evacuation and anchoring, to harbor beautification, which can work as a basis for fishing tourism. This paper shows that the AHP analysis method for prioritizing local harbors in Chungcheongnam-do could aid in the effective selection of target harbors in other cities and provinces.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.36 no.1
• /
• pp.28-37
• /
• 2008

This study intends analyzes the experience urbanites need regarding rural amenities when visiting rural areas for leisure. For this purpose, 18 rural amenities that can be experienced at 65 traditional rural villages and are designated by the rural development administration(RDA) were selected. Based on rural amenity selection, a questionnaire survey was conducted in 10 cities with 1,052 urban residents. The cities were divided into 5 metropolitan cities(Seoul, Busan, Daegu, Kwangju and Daejeon) and 5 small cities in each province(Chuncheon, Suwon, Jeonju, Chungju and Pohang). The study results suggest that of the 18 rural amenities, urbanites want greater experience with landscape resources near water and forests, health resources related to food and traditional resources such as traditional architecture and culture. Those amenities not chosen were animals, famous people and agricultural landscapes. In addition, women indicated more experience needs than men. Specifically, women want to experience the rural amenities dealing with tradition and health. In addition, people under 40 want to experience active program related festivals(events) and arts and crafts, whereas the group over 40 prefers a non-active program, such as observing the rural landscape and planting. College graduates want to experience the landscape while college students prefer arts and crafts and festivals(events). Those with below average salaries want to experience the most rural amenities. There were no differences in experience needs between those surveyed in metropolitan cities and those in small cities. Finally, the people who visited rural areas within the last year want to experience water, plants, agricultural landscape, health and rural life resources more than other groups, and there is correlation between plans to visit rural villages and experience needs. The results of this study provide insightful information for rural planning strategies such as selection of the type of marketing segments.

• International Journal of Contents
• /
• v.16 no.2
• /
• pp.92-101
• /
• 2020

Industrial integration is the innovative embodiment of regional economic theory. The promotion of industrial integration is conducive to improving the scale effect and spillover effect of the industry. Also, it has the power to radiate, drive, and lead the innovation and development of the whole industrial cluster. The purpose of this paper was to identify the most suitable development pattern of the ice-snow sports tourism industry in Zhangjiakou, one of the host cities of the 2022 Winter Olympics. This study combs the characteristics of the development of the ice-snow sports industry, and analyzes the current situation of the industry in Zhangjiakou based on the SWOT-AHP method. This paper argues that the integrated industry is the most suitable development pattern for the promotion of the ice-snow culture industry in Zhangjiakou. The following content will present effective countermeasures to accelerate the development of the ice-snow culture industry integration in Zhangjiakou from three aspects: industrial resource integration, industrial chain layout, and scientific and technological innovation. The IT live simulation technique facilitates identifying some vital elements during the data collection.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.8
• /
• pp.5207-5212
• /
• 2014

City image improvement is very important, particularly in city tourism development because tourism depends on image. Some cities have made efforts to develop a positive city image with local festivals. The purpose of this study was to assess the tourists' satisfaction of local festivals. First, the city image was focused on three factors; city satisfaction, experience and convenience. Second, the city image was influenced significantly by city satisfaction and direct or indirect experience. These results show that effective strategies are needed for the successful IT implementation in local festivals. The use of mobile applications and GIS-based sensors provide local festival information for tourists who receive information, Finally, a well made city image combines city identity and originality, which will attract many tourists and visitors.