• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.59-75
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• 2019

This study was carried out to explore the 4th Industrial Revolution technology from the perspective of the landscape industry to provide the basic data necessary to increase the virtuous circle value. The 4th Industrial Revolution, the characteristics of the landscape industry and urban regeneration were considered and the methodology was established and studied including the technical classification system suitable for systematic research, which was selected as a framework. First, the 4th Industrial Revolution technology based on digital data was selected, which could be utilized to increase the value of the virtuous circle for the landscape industry. From 'Element Technology Level', and 'Core Technology' such as the Internet of Things, Cloud Computing, Big Data, Artificial Intelligence, Robot, 'Peripheral Technology', Virtual or Augmented Reality, Drones, 3D 4D Printing, and 3D Scanning were highlighted as the 4th Industrial Revolution technology. It has been shown that it is possible to increase the value of the virtuous circle when applied at the 'Trend Level', in particular to the landscape industry. The 'System Level' was analyzed as a general-purpose technology, and based on the platform, the level of element technology(computers, and smart devices) was systematically interconnected, and illuminated with the 4th Industrial Revolution technology based on digital data. The application of the 'Trend Level' specific to the landscape industry has been shown to be an effective technology for increasing the virtuous circle values. It is possible to realize all synergistic effects and implementation of the proposed method at the trend level applying the element technology level. Smart gardens, smart parks, etc. have been analyzed to the level they should pursue. It was judged that Smart City, Smart Home, Smart Farm, and Precision Agriculture, Smart Tourism, and Smart Health Care could be highly linked through the collaboration among technologies in adjacent areas at the Trend Level. Additionally, various utilization measures of related technology applied at the Trend Level were highlighted in the process of urban regeneration, public service space creation, maintenance, and public service. In other words, with the realization of ubiquitous computing, Hyper-Connectivity, Hyper-Reality, Hyper-Intelligence, and Hyper-Convergence were proposed, reflecting the basic characteristics of digital technology in the landscape industry can be achieved. It was analyzed that the landscaping industry was effectively accommodating and coordinating with the needs of new characters, education and consulting, as well as existing tasks, even when participating in urban regeneration projects. In particular, it has been shown that the overall landscapig area is effective in increasing the virtuous circle value when it systems the related technology at the trend level by linking maintenance with strategic bridgehead. This is because the industrial structure is effective in distributing data and information produced from various channels. Subsequent research, such as demonstrating the fusion of the 4th Industrial Revolution technology based on the use of digital data in creation, maintenance, and service of actual landscape space is necessary.

• Korean Journal of Environment and Ecology
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• v.33 no.4
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• pp.481-492
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• 2019

The Korean Ministry of Culture, Sports and Tourism has held "Travel Week" since 2014 to encourage the people to take a vacation and disperse the seasonal tourism demand that is concentrated in summer in Korea. As part of the program, the Korea National Park Service has also operated the participatory lowland exploration program that offers nature-themed attractions and enjoyment in national parks across the country during the "Travel Week" since 2018. The purpose of this study was to investigate the satisfaction with the program and intention to participate again of participants in the "National Park Spring Week Program" which is held in national parks during the "Travel Week." We conducted a self-report survey of 1,281 participants in the "2019 National Park Spring Week Program" held in 18 national parks across the country. The analysis of responses on the difference in the participants' satisfaction and intention to participate again according to the awareness in advance of the "2019 National Park Spring Week Program" showed that the average satisfaction and intentional to participate again of those who were aware of the program before visiting national parks were statistically significantly higher than those who were not. As for the type of national parks, those who participated in "maritime and coastal national parks" and "historical national parks" showed the statistically significantly higher satisfaction and intention to participate again than those who participated in "urban national parks." As for the type of the programs, those who participated in "cultural performance" and "exploration experience" showed the statistically significantly higher satisfaction than those who participated in "exhibition," "PR booth," and "campaign." Those who participated in "cultural performance" and "exploration experience" showed the statistically significantly higher intention to participate again than those who participated in "exhibition" and "PR booth." This study is expected to provide basic data for establishing a policy to improve exploration services in response to the increasing number of visitors to national parks in spring and fall as well as the peak season of summer.

• Korea Science and Art Forum
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• v.37 no.2
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• pp.239-250
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• 2019

Along with changes in the industrial structure, revitalizing decrepit or abandoned industrial-age infrastructures are actively under way on a global scale. This study was motivated by an interest in investigating currently idle industrial infrastructures and revitalizing the abandoned passenger ferry terminal in Geoje's Jangseungpo and surrounding areas. The main aims of this study were to examine regional features for the purpose of establishing urban renewal plans and field opinions of the local residents on how to proceed with the restoration of the passenger ferry terminal. To this end, this paper looked into previous case studies of converting decrepit industrial infrastructures into new cultural venues, depending on each region's special circumstances. This paper's findings are as follows: First, as a result of this investigation, the author found that in all cases in Korea and elsewhere revitalization focused on creating modern cultural spaces appropriate for the region while retaining its traditional value. At the same time, they sought sustainable cultural and economic revival. Second, as a result of the investigation on Geoje City's local characteristics, the author found that the surrounding areas' commercial districts were depressed after the terminal's closure. At the time of the investigation, the city government was trying to reopen the terminal as a major port offering multiple international ferry destinations while attracting tourists. Third, as a result of the surveys on the local residents, it was found that more than half of the residents were in agreement with the city government's plan to reopen the terminal and expressed their wishes that they want the terminal to have other uses such as cultural venues. Based on these research results, the author makes proposals, including expanding the passenger ferry terminal and offering cultural spaces within and near the terminal, based on the local residents' opinions and in reflection of local circumstances. As part of this effort, the author also recommends a new brand name and design plan for the new passenger ferry terminal so that Geoje City can improve its local community value.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.21-41
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• 2019

Thanks to the rapid development of information technologies, the data available on Internet have grown rapidly. In this era of big data, many studies have attempted to offer insights and express the effects of data analysis. In the tourism and hospitality industry, many firms and studies in the era of big data have paid attention to online reviews on social media because of their large influence over customers. As tourism is an information-intensive industry, the effect of these information networks on social media platforms is more remarkable compared to any other types of media. However, there are some limitations to the improvements in service quality that can be made based on opinions on social media platforms. Users on social media platforms represent their opinions as text, images, and so on. Raw data sets from these reviews are unstructured. Moreover, these data sets are too big to extract new information and hidden knowledge by human competences. To use them for business intelligence and analytics applications, proper big data techniques like Natural Language Processing and data mining techniques are needed. This study suggests an analytical approach to directly yield insights from these reviews to improve the service quality of hotels. Our proposed approach consists of topic mining to extract topics contained in the reviews and the decision tree modeling to explain the relationship between topics and ratings. Topic mining refers to a method for finding a group of words from a collection of documents that represents a document. Among several topic mining methods, we adopted the Latent Dirichlet Allocation algorithm, which is considered as the most universal algorithm. However, LDA is not enough to find insights that can improve service quality because it cannot find the relationship between topics and ratings. To overcome this limitation, we also use the Classification and Regression Tree method, which is a kind of decision tree technique. Through the CART method, we can find what topics are related to positive or negative ratings of a hotel and visualize the results. Therefore, this study aims to investigate the representation of an analytical approach for the improvement of hotel service quality from unstructured review data sets. Through experiments for four hotels in Hong Kong, we can find the strengths and weaknesses of services for each hotel and suggest improvements to aid in customer satisfaction. Especially from positive reviews, we find what these hotels should maintain for service quality. For example, compared with the other hotels, a hotel has a good location and room condition which are extracted from positive reviews for it. In contrast, we also find what they should modify in their services from negative reviews. For example, a hotel should improve room condition related to soundproof. These results mean that our approach is useful in finding some insights for the service quality of hotels. That is, from the enormous size of review data, our approach can provide practical suggestions for hotel managers to improve their service quality. In the past, studies for improving service quality relied on surveys or interviews of customers. However, these methods are often costly and time consuming and the results may be biased by biased sampling or untrustworthy answers. The proposed approach directly obtains honest feedback from customers' online reviews and draws some insights through a type of big data analysis. So it will be a more useful tool to overcome the limitations of surveys or interviews. Moreover, our approach easily obtains the service quality information of other hotels or services in the tourism industry because it needs only open online reviews and ratings as input data. Furthermore, the performance of our approach will be better if other structured and unstructured data sources are added.