• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.35-37
• /
• 2021

Analyzing and predicting foreign tourists' demand is a crucial research topic in the tourism industry because it profoundly influences establishing and planning tourism policies. Since foreign tourist data is influenced by various external factors, it has a characteristic that there are many subtle changes over time. Therefore, in recent years, research is being conducted to design a prediction model by reflecting various external factors such as economic variables to predict the demand for tourists inbound. However, the regression analysis model and the recurrent neural network model, mainly used for time series prediction, did not show good performance in time series prediction reflecting various variables. Therefore, we design a foreign tourist demand prediction model that complements these limitations using a convolutional neural network. In this paper, we propose a model that predicts foreign tourists' demand by designing a one-dimensional convolutional neural network that reflects foreign tourist data for the past ten years provided by the Korea Tourism Organization and additionally collected external factors as input variables.

• Asia-Pacific Journal of Business
• /
• v.14 no.4
• /
• pp.343-356
• /
• 2023

Purpose - This study attempted to predict short-term transportation demand using trains and getting off at Gangchon Station. Through this, we present numerical data necessary for future tourist inflow policies in the Gangchon area of Chuncheon and present related implications. Design/methodology/approach - This study collected and analyzed transportation demand data from Gangchon Station using the Gyeongchun Line and ITX-Cheongchun Train from January 2014 to August 2023. Winters exponential smoothing model and ARIMA model were used to reflect the trend and seasonality of the raw data. Findings - First, transportation demand using trains to get off at Gangchon Station in Chuncheon City is expected to show a continuous increase from 2020 until the forecast period is 2024. Second, the number of passengers getting off at Gangchon Station was found to be highest in May and October. Research implications or Originality - As transportation networks are improving nationwide and people's leisure culture is changing, the number of tourists visiting the Gangchon area in Chuncheon City is continuously decreasing. Therefore, in this study, a time series model was used to predict short-term transportation demand alighting at Gangchon Station. In order to calculate more accurate forecasts, we compared models to find an appropriate model and presented forecasts.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.9
• /
• pp.27-36
• /
• 2022

Purpose: The coronavirus pandemic has affected the tourism industry in a big way. The travel industry suffered intense damage from the pandemic and procedures acquainted to containing its spread because the pandemic outbreak has led to a decline in the number of tourists and a change in their behavior. At this point, this research is to investigate adequate solutions for tourism industry to overcome the crisis in a post-Covid 19 era. Research design, data and methodology: The current author gathered data from each included study to analyze and summarize the evidence when conducting a literature analysis. This stage involves gathering and reviewing intricate texts databases for the meta-analysis. Results: The current author found total five solutions from numerous literature contents, suggesting how to overcome the crisis in a post-Covid era for tourism industry. Solutions as follows, (1) Drawing beginning illustrations, (2) Introducing Government Backing Programs, (3) Increasing Promotion of Tourism Destinations, (4) Enhancing Safety and Security Measures, and (5) Improving Infrastructure and Facilities. Conclusions: This research suggests that although the global economic recession leads to reduced demand and intense competition from other sectors, the tourism industry will be well positioned to weather these challenges if practitioners of tourism organizations follow five solutions of this research.

• Journal of Korean Society of Rural Planning
• /
• v.30 no.2
• /
• pp.13-24
• /
• 2024

This study conducts an analysis of social media big data pertaining to island tourism resources, aiming to discern the diverse forms and categories of island tourism favored by consumers, ascertain predominant resources, and facilitate objective decision-making grounded in scientific methodologies. To achieve this objective, an examination of blog posts published on Naver from 2022 to 2023 was undertaken, utilizing keywords such as 'Island tourism', 'Island travel', and 'Island backpacking' as focal points for analysis. Text mining techniques were applied to sift through the data. Among the resources identified, the port emerged as a significant asset, serving as a pivotal conduit linking the island and mainland and holding substantial importance as a focal point and resource for tourist access to the island. Furthermore, an analysis of the disparity between existing island tourism resources and those acknowledged by tourists who actively engage with and appreciate island destinations led to the identification of 186 newly emerging resources. These nascent resources predominantly clustered within five regions: Incheon Metropolitan City, Tongyeong/Geoje City, Jeju Island, Ulleung-gun, and Shinan-gun. A scrutiny of these resources, categorized according to the tourism resource classification system, revealed a notable presence of new resources, chiefly in the domains of 'rural landscape', 'tourist resort/training facility', 'transportation facility', and 'natural resource'. Notably, many of these emerging resources were previously overlooked in official management targets or resource inventories pertaining to existing island tourism resources. Noteworthy examples include ports, beaches, and mountains, which, despite constituting a substantial proportion of the newly identified tourist resources, were not accorded prominence in spatial information datasets. This study holds significance in its ability to unearth novel tourism resources recognized by island tourism consumers through a gap analysis approach that juxtaposes the existing status of island tourism resource data with techniques utilizing social media big data. Furthermore, the methodology delineated in this research offers a valuable framework for domestic local governments to gauge local tourism demand and embark on initiatives for tourism development or regional revitalization.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.2 no.4
• /
• pp.56-64
• /
• 2014

Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.1 no.2
• /
• pp.29-41
• /
• 2013

Purpose: Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Research Design, Data and Methodology: Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. Results: The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. Conclusion: This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• Journal of Korean Society of Rural Planning
• /
• v.14 no.3
• /
• pp.1-9
• /
• 2008

In this study, by reflecting flow of age, possibility of new theme park development as private investments business based on source that is farming village that is not tried to before is verified and by analyzing potential of the site, effectiveness of new theme park development is examined. "Nonghyup Anseong Meadow Anseong-si Gyeonggi-do" is selected as researched site where accessibility is good as there is near to National Capital region and nature condition is also good. Demands are forecasted using visiting intention and realizing index through analogical method and by analyzing existing data related with increase of tourism business that people can experience English village and increasing demand of experiencing farming region tourism demands are forecasted. The results are at below. First, As average expenditure per one person is 52,209 won that is shown in result of survey, if multiplying increasing rate of price and the number of visiting people that is optimistic forecasting figure, the whole expenditure of visitors per one year is from 10.54 billions to 13.85 billions won. Second is potential power of demand aspects. Potential power of that theme park was re-examined through demands forecasting analysis through survey. Experiencing farming regions theme park business that is informed through analysis of potential power of development and demand aspects has value to invest as new business based on farming regions sources, as a result of searching through diverse aspects such as tourism, economy, public interest and cultural aspect and so on.

• Journal of Navigation and Port Research
• /
• v.33 no.10
• /
• pp.757-769
• /
• 2009

This paper is intended to forecast the demand for tourism of fishing regions and find the public policies to activate it. The paper focuses on the east coast regions in Gangwon-do. The analysis was conducted through time series analyses and surveys of the tourists in the regions. The results of analyses showed that, while the number of tourists(both domestic and foreign) to the regions has increased, the regions have not been able to accommodate them enough to help improve economies of the regions. It was forecasted that the number of tourists will significantly increase in the future. However, that rates of increase, especially the rates of increase of foreign tourists, cannot be evaluated positively compared to those of the past. These results suggested a few local governmental policies to activate tourism in the regions.

• Journal of Smart Tourism
• /
• v.3 no.2
• /
• pp.5-13
• /
• 2023

Because of increasing anxiety about infectious diseases and the demand for contactless service caused by the COVID-19 pandemic, it has become crucial for the tourism and hospitality sector to understand customers' psychological mechanism of contactless service during and post COVID-19. Thus, this paper proposes a conceptual model by integrating trust in the framework of the behavioral immune system. Interestingly, our study found that anxiety about infectious diseases during the COVID-19 pandemic has not only increased hotel customers' desire for contactless service and changed their behavioral intentions, but it has also impacted customers' trust in hotel service robots. Therefore, irrespective of how the hotel service environment changes, trust in technology has become the most fundamental factor for hotel customers' attitudes toward adopting technology. Based on the results, this paper provides salient theoretical and practical implications.

• Journal of Korean Society of Rural Planning
• /
• v.19 no.4
• /
• pp.213-226
• /
• 2013

Agricultural tourism is a new kind of industry, which combined agriculture with tourism. It not only has the productive function, but also has the function of improving the quality of ecological environment and supplying people with sightseeing, leisure, vacation. Agricultural tourism is a new kind of industry from the amalgamation of agriculture and tourism: it is based on farm work, characterized by agricultural management, combines agriculture and tourism, and includes the city as a market-place. It satisfies tourist demand with food, lodging, excursions, shopping and entertainment provided by agricultural places and agricultural products. After combining the substance of this study with the primary sources regarding the development of agricultural tourism, I suggest plans for the development of local agricultural tourism on the basis of sustainable tourism theory in case of the Inner Mongolia region. To conduct research, various data such as literature research and surveys are collected and analyzed. According to the result of the research, the Inner Mongolia region has great-wealthy resources for agricultural tourism. However, they have problems as well such as lack of funds, low infrastructure, low business-mind level, low management-mind, the scarcity of mid-supporting organizations for research and education, low awareness, and low service level of the agricultural tourism. In order to solve these problems, have to strengthen publicity, strengthen the county and city communication, educates continuously profession talented person, establish related laws and regulations, increase the integrity of infrastructure. As a developing industry, agricultural tourism is a new field of study which needs more encouraging research. The agricultural tourism of Inner Mongolia Autonomous Region has only just started development resulting in a limited amount of information available for this study. Future planned work entails a continuous in-depth study of Chinese agricultural tourism, considering Inner Mongolia Autonomous Region in particular.