• Title/Summary/Keyword: Foreign Tourists Demand

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A Study on the Scope for Special Interest Tourism based Services in India

  • Selvakumar, J. Joshua
    • East Asian Journal of Business Economics (EAJBE)
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    • v.1 no.2
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    • pp.29-41
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    • 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.

Forecasting of Foreign Tourism demand in Kyeongju (경주지역 외국인 관광수요 예측)

  • Son, Eun Ho;Park, Duk Byeong
    • Journal of Agricultural Extension & Community Development
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    • v.20 no.2
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    • pp.511-533
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    • 2013
  • The study used a seasonal ARIMA model to forecast the number of tourists to Kyeongju foreign in a uni-variable time series. Time series monthly data for the investigation were collected ranging from 1995 to 2010. A total of 192 observations were used for data analysis. The date showed that a big difference existed between on-season and off-season of the number of foreign tourists in Kyeongju. In the forecast multiplicative seasonal ARIMA(1,1,0) $(4,0,0)_{12}$ model was found the most appropriate model. Results show that the number of tourists was 694 thousands in 2011, 715 thousands in 2012, 725 thousands in 2013, 738 thousands in 2014, and 884 thousands in 2015. It was suggested that the grasping of the Kyeongju forecast model was very important in respect of how experts in tourism development, policy makers or planners would establish marketing strategies to allocate services in Kyeongju as a tourist destination and provide tourism facilities efficiently.

Factors Impacting Tourism Demand: An Analysis of 10 ASEAN Countries

  • NGUYEN, Lien Phuong;NGUYEN, Ha Thu
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.385-393
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    • 2021
  • This study investigates the effect of infrastructure, economic sectors and its status, foreign direct investment and private investment, as well as the role of political stability in enhancing the tourism demand in the ASEAN region. The research collected the secondary data from the World Bank database and the UNWTO website of 10 ASEAN countries over 17 years from 2000 to 2016. Applying the generalized method of moments, this research found that, "private investment", "economic sectors", "exchange rate and infrastructure measured by "using of the internet" can increase the tourism demand of a country in the ASEAN region. This research provided evidence indicating that the "foreign direct investment" and "inflation" are two detrimental factors for tourist attraction. The major finding confirmed the positive role of "political stability" in increasing tourist arrivals. First, attracting tourists to a country always poses many challenges to its government. It has been observed in the past decades that though there were many documents, which confirmed that industry can help in promoting tourism, very few studies investigated the role of both agriculture and manufacturing sectors in tourism promotion. Secondly, there are only a few studies which verifies the stability of the political system to the tourism demand in the ASEAN region and that this variable (political stability) has the strongest impact.

Big Data-Based Air Demand Prediction for the Improvement of Airport Terminal Environment in Urban Area (도심권 공항 터미널 환경 개선을 위한 빅 데이터 기반의 항공수요예측)

  • Cho, Him-Chan;Kwag, Dong-gi;Bae, Jeong-hwan
    • Journal of the Korea Convergence Society
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    • v.10 no.8
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    • pp.165-170
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    • 2019
  • According to the statistics of the Ministry of Land Transport and Transportation in 2018, the average annual average number of air traffic users for has increased by 5.07% for domestic flights and 8.84% for international flights. Korea is facing a steady rise in demand from foreign tourists due to the Korean Wave. At the same time, a new lifestyle that values the quality of life of individuals is taking root, along with the emergence of LCC, and Korean tourists' overseas tours are also increasing, so improvement and expansion of domestic airport passenger terminals is urgently needed. it is important to develop a structured airport infrastructure by making efficient and accurate forecasts of aviation demand. in this study, based on the Big Data, long-term domestic and international demand forecasts for urban airports were conducted.. Domestic flights will see a decrease in the number of airport passengers after 2028, and international flights will continue to increase. It is imperative to improve and expand passenger terminals at domestic airports.

Analysis of Color Characteristics of Signs and Signs in Special Tourist Zones: Focusing on Busan Haeun-dae Tourist Zone (관광특구지역 안내표지판 및 사인의 색채특성 분석 -부산 해운대 관광특구지역을 중심으로-)

  • Cho, Joung-Hyung
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.67-78
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    • 2020
  • As the number of tourists visiting Korea is increasing, the demand for improving the quality of public services also rises rapidly due to the number of tourists who visit Busan. Busan, as the maritime capital of South Korea, it would be best to consider a design proposal for the purpose of the design of multilingual signage system and guideline design for foreign tourists in Haeundae, Busan. It is expected to provide qualitative convenience to those visiting Haeundae with the demand for multilingual needs and additional application of service design to those who plan to visit Busan.

Review of Responsibility in Case of Medical Tour Disputes (의료관광 분쟁시 책임주체에 대한 검토)

  • Moon, Sang hyuk
    • The Korean Society of Law and Medicine
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    • v.17 no.1
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    • pp.107-135
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    • 2016
  • Medical tour can be said to be a new high added-value tour industry of 21st century. The development of varied and distinguished medical tour products by each country will further vitalize the medical tour industry. As the interest in such medical tour increases, it is necessary to analyze the demand and interests of tourists accurately and prepare medical tour products to be provided in order to develop and promote medical tour products. The government considers the medical tour industry as an industry with high expected effects in job creation through promotion of experts in global healthcare industry and national economy development through high added-value creation, and has expanded aid policies in medical tour field with improvement of medical tour immigration system, one-stop service system for medical tourists, and medical tour labor force promotion system. Nevertheless, there are disputes between foreign patients and medical tour inviting businesses, along with medical accident disputes between foreign patients and medical staff and disputes with those working in the tourism industry. This article reviews the types of disputes occurring around the inviting businesses related to medical tours and tried to review the resolutions. Through this, it was found that medical tour inviting businesses have the responsibility to connect the mediated benefits and risks and also the responsibility to process the tasks. Thus, in case dispute occurs due to passive actions from establishing agency agreement to active mediation results, it is difficult to escape the liabilities. Also, in a medical tour agency contract, the inviting business must be aware that it bears the responsibility to explain and advise the details on benefits and risks to foreign patients. The "Guide to arbitration system for resolution of medical disputes with foreign patients" by Korea Health Industry Development Institute Act presents a method to resolve disputes according to the [laws on medical accident damage relief and medical dispute arbitration] in case a dispute due to medical accidents occurs to foreign patients when the foreign patients prepare diagnosis agreement, Whether such method is sufficient to protect foreign patients, however, is thought to require discussions from more diverse perspectives. In order to vitalize medical tourism, the development of diverse products is also important, but the countermeasures against related disputes should also be prepared. Such is expected to contribute to a greater advancement based on trust of foreign medical tourists alongside excellent medical technologies.

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Development of Yóukè Mining System with Yóukè's Travel Demand and Insight Based on Web Search Traffic Information (웹검색 트래픽 정보를 활용한 유커 인바운드 여행 수요 예측 모형 및 유커마이닝 시스템 개발)

  • Choi, Youji;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.23 no.3
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    • pp.155-175
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    • 2017
  • As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.