• Journal of the Korean association of regional geographers
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• v.15 no.6
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• pp.763-773
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• 2009

This study is the basic data to design development directions and development standards of resources and facilities for establishing provision-oriented marine tourism development plans, and it aims to help develop provision-oriented marine tourism by drawing planning index and considering its priority necessary for provision-oriented marine tourism development. The findings of the study are as follows. As the result of analysis on four aspects, specific standards and plans for marine tourism development index, it showed environmental aspect, socio-cultural aspect, management aspect, and economic aspect in order. According to the result, the environmental aspect is considered important as the plan to solve problems working as inhibition factors instead of local development, due to local culture and environment disruption. Besides, as the result of iult of iuland priority of 13 items w of iure specific factors and specific plans, durability of resource use, iulroveand envisurrf rdings, receptive culacity, conservesidesand transmissidesnvicultures, and iulroveand ein the quality of life, stability of resource use, quality management of tourist attractions, competency intensificesidesof residents, income increase of residents, PR marketing, role of public sectors, increase in the local industry, and increase in employment were shown in order. Software-oriented plans should be made to preserve overall nature of local areas rather than hardware-oriented plans and development of environmental aspect that merely considers preventing environment destruction.

• Journal of Ecology and Environment
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• v.38 no.2
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• pp.257-262
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• 2015

The ancient fishing methods include stone fish weir, beach seine and baulk net, but the fish catches of the stone fish weir is the most abundant. The stone fish weirs not only constitute important landscape, but also are representative of the fishery culture in Penghu, because they are fishing ground built by ancient people to take advantage of natural environment and resources. The objectives of this study is to understand the relevance of stone fish weirs in Penghu and to preserve biological diversity, as well as the value of stone fish weirs in Penghu fishery culture, and further make suggestions on the stone fish weirs. According to the present study, the marine species around the stone fish weirs tend to be diversifying, and in the future the region's economy can be revitalized by sightseeing, which may promote the ecotourism, and also volunteer tourism. In the future, stone fish weirs must be promoted as a sightseeing destination. Also, by taking into consideration the experience of the Jibei stone weir protection team, the local communities of Penghu can have their own protection team to revitalize the stone fish weirs for sustainable operation and management.

• Journal of Distribution Science
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• v.18 no.1
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• pp.15-26
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• 2020

Purpose: This study is to analyze the image classification using Convolution Neural Network and Transfer Learning for Jeju Island and to suggest related implications. As the biggest tourist destination in Korea, Jeju Island encounters environmental issues frequently caused by marine debris along the seaside. The ever-increasing volume of plastic waste requires multidirectional management and protection. Research design, data and methodology: In this study, the deep learning CNN algorithm was used to train a number of images from Jeju clean and polluted beaches. In the process of validating and testing pre-processed images, we attempted to explore their applicability to coastal tourism applications through probabilities of classifying images and predicting clean shores. Results: We transformed and augmented 194 small image dataset into 3,880 image data. The results of the pre-trained test set were 85%, 70% and 86%, and then its accuracy has increased through the process. We finally obtained a rapid convergence of 97.73% and 100% (20/20) in the actual training and validation sets. Conclusions: The tested algorithms are expected to implement in applications for tourism service distribution aimed at reducing coastal waste or in CCTVs as a detector or indicator for residents and tourists to protect clean beaches on Jeju Island.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.915-929
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• 2023

Improvements in people's quality of life, diversification of leisure activities, and changes in population structure have led to an increase in the demand for tourism and an expansion of the diversification of tourism activities. In particular, for coastal cities where land and marine tourism elements coexist, various factors influence their tourism demands. Tourism requires the construction of infrastructure and content development according to the demand at the tourist destination. This study aims to improve the prediction accuracy and explore influencing factors through time series analysis of tourism scale using agent-based data. Basic local governments in the Busan area were examined, and the data used were the number of tourists and the amount of tourism consumption on a monthly basis. The univariate time series analysis, which is a deterministic model, was used along with the SARIMAX analysis to identify the influencing factor. The tourism consumption propensity, focusing on the consumption amount according to business types and the amount of mentions on SNS, was set as the influencing factor. The difference in accuracy (RMSE standard) between the time series models that did and did not consider COVID-19 was found to be very wide, ranging from 1.8 times to 32.7 times by region. Additionally, considering the influencing factor, the tourism consumption business type and SNS trends were found to significantly impact the number of tourists and the amount of tourism consumption. Therefore, to predict future demand, external influences as well as the tourists' consumption tendencies and interests in terms of local tourism must be considered. This study aimed to predict future tourism demand in a coastal city such as Busan and identify factors affecting tourism scale, thereby contributing to policy decision-making to prepare tourism demand in consideration of government tourism policies and tourism trends.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.63-72
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• 2022

Purpose: After the Crona Pandemic, all countries are interested in developing various programs to attract tourists. In order to activate the attraction of tourists, it is necessary to discover the information needed by tourists and provide the information based on the visitor's location. Method: This research proposes a system configuration method for creating tourist-oriented tourism contents information. To this end, it creates GIS and QR code-based content and provides necessary information from the tourist's current location. In addition, by using QR codes installed at various points, it provides travel time and other destination information from the current location, and AR image information based on QR codes. Result: The existing tourism content system provides information using a fixed location-based QR code. This research creates and provides customized tourism information based on the location of tourists by generating GIS-based QR codes. Conclusion: This research aims to contribute to the construction of a new tourism information contents and the activation of tourist-oriented tourism information provision.