• Journal of Korean Port Research
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• v.14 no.3
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• pp.279-290
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• 2000

The purpose of this study is to suggest the analytical framework for a spatial structure of a tourism destination master plan by the two types of the tourism development models: Tourist attraction System Model and Tourism Destination Region Design Model. The resort development plan is introduced as a planning tool for regenerating the eastern Pusan regions, but the economic and environmental impacts and the sociocultural dilemma accompanied by the development should be fully considered before launching the business. The development plan announced currently is traced and examined in comparison with the upper-leveled and related plans. The Tourist Attraction System Model based on the systems theory is applied to the designated regions. The Tourism Destination Region Design Model then is applied for analyzing the components of each region on the master plan. The results of the findings suggest that the tourism destination plan is basically different from a general master plan on the physical comprehensive plan, the destination is recognized as a subsystem of the whole tourism system, and thus tourism destination plan is considered as a spatial arrangement of tourism facilities and the inter- and intra-circulation.

• The Journal of Economics, Marketing and Management
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• v.11 no.6
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• pp.35-41
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• 2023

Purpose: This study aims to determine the marketability of the heritage sites in Region III, Philippines. More specifically, it will obtain information on the: (a) profile of the heritage sites in Central Luzon; (b) dimensional issues of their marketability along social, environmental, and economic lines; (c) quality of services in terms of tangibility, responsiveness, empathy, assurance, and reliability; and (d) its business model canvas. Research design, data, and methodology: This will utilize a descriptive survey of the heritage sites in Central Luzon, namely: Aurora, Nueva Ecija, Bulacan, Pampanga, Tarlac, Zambales, and Bataan. There will be 60 respondents, including 5 facilitators, 24 residents, and 31 tourists. The results will be statistically measured through the measures of central tendencies, dispersion, and the test of significance. Result and conclusion: This study will comprehensively examine the local tourism sector, benefiting various stakeholders. It serves as a valuable resource for tourists by providing insights into destination marketing strategies and enhancing heritage tourism experiences. Administrators benefit from coping strategy evaluations, aiding in the formulation of effective strategies aligned with industry goals. Tourism businesses align with industry objectives and the study streamlines ordinances for site protection for local government units. Additionally, the community gains empowerment through insights into employable activities and potential businesses, influencing assessments of the justification for local preservation ordinances.

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