• Bulletin of the Korean Space Science Society
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• 2011.04a
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• pp.29.2-29.2
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• 2011

Earth's bow shock is a transition layer across which properties of plasmas change irreversibly. Although some features of the bow shock are well described by continuities of fluxes of various macroscopic quantities, particle dynamics across the transition layer is very complicated. Observed phase space distributions show multiple ion beams and partially thermalized ions around the transition layer. In some cases, both hot magnetosheath ions and cold solar wind ions simultaneously exist in the magnetosheath. Electrons around the transition layer usually have flat-top distributions with temperature anisotropy. From the observed properties of the phase space distributions we will discuss thermalization processes that occur across the shock transition.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 1997.11a
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• pp.327-334
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• 1997

In many large urban-fire scenarios one of the critical issues is to attempt to protect the lives of fire fighters in helicopters deployed to flying over the fires and also the lives of people trapped in open areas downwind of the fires such as in parks. The strategies of such protection measures depend significantly on our knowledge of the size and extent of such fires as affected by the prevailing winds. In this study, the shape or profile of the fire plume typical of large urban fires, as affected by a steady unidirectional wind with or without imposing a shear flow on the fire plume, has been simulated numerically by a field model. The results show that the simulations provide realistic flame profiles and at least qualitatively, the same flame dynamics when compared to those from the experiments, and that the fire plumes are sensitive to small variations in the asymmetry of the wind shears, including the appearance of swirling flames within the fire plumes.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.5
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• pp.1-12
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• 2022

COVID-19 led to an increased need for mountainous urban parks in the city that can be enjoyed while moving rather than staying put. However, studies on the economic value of mountainous urban parks have been insufficient. As a result, this study investigates the economic value of Gyeyangsan, a mountainous urban park located in the city, by quantifying the value of natural resources provided to residents and analyzing the factors affecting these values. The results are summarized below. First, according to the economic value assessment of Gyeyangsan, the use value was 2,210 won per person or 4.42 billion won per year, and the preservation value was 6,182 won per household, or 129.37 billion won. Gyeyangsan's total assets value was assessed as 3.68 trillion won. Second, according to the estimates of the willingness to pay and the determinants for the use-value, the frequency of visits, age, and use satisfaction significantly impacted the intention to pay for the use-value. Third, according to the estimates of the willingness to pay and the determinants for the preservation value, the intention to revisit, volunteer participation, educational level, gender, and residence significantly influenced the intention to pay for the preservation value. According to the findings of this study, it will be possible to make crucial policy implications when setting a direction for future park management by presenting a practical policy plan for the maintenance of mountain parks in downtown areas and will broaden the scope of research.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.11-19
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• 2017

The objective of this research was to identify the factors that affects the customer's satisfaction and dissatisfaction of theme parks. This research focused on Sunway Lagoon. The reason Sunway Lagoon was selected was because of the vast number of visitors in Sunway Lagoon for the last few years. It enables the researchers to acquire sufficient amount of information to conduct a research. The factors which affects the customers' satisfaction are the behavior of the generation Y; service experience evaluation, perceived price, emotions, and servicescape. The limitation of this research was inadequate time to perform in-depth investigation on the research. The research study implemented qualitative research, thus the interview was used as a data collection. Since Sunway Lagoon was selected as the research setting, the face-to-face interview with 10 participants was conducted in the setting. This research is vital because it enables the organizations to determine factors that influence the customer's satisfaction and future behavioral intentions. As a result, organizations are able to achieve higher levels of customer satisfaction as well as promoting customer loyalty.

• Journal of Forest and Environmental Science
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• v.37 no.1
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• pp.69-78
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• 2021

This study aims to verify a difference between the years 2014 and 2019 of Uiryeong-Gil, which is operated by the Visitor-Reservation System, in terms of the cognition of system, operational effectiveness, and behavioral intention. The analysis is as follows. First, among the overall cognition of the Visitor-Reservation System, the satisfaction from - prevention for safety for accident, expansion to other parks, number of visitor restriction, and satisfaction with reservation method - increased compared to 2014. Second, among the effects of the Visitor-Reservation System operation, satisfaction shows differences in year-to-year levels in terms of resource protection, resource damage mitigation efficiency, natural experience opportunity, comfort of visit-environment, and prevention of illegal activities. Third, the analysis of the differences in the behavior of the Visitor-Reservation System showed that the satisfaction of visitors, revisit intention, and overall satisfaction differed per year. The results of this study are meaningful in that the Visitor-Reservation System is no longer the restriction, but the change in cognition for the protection of ecosystems and sustainable visiting in order to expand the Visitor-Reservation System into a sustainable policy.

• Journal of Korean Society of Forest Science
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• v.95 no.1
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• pp.113-123
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• 2006

The purpose of this paper was to identify the effects of visitor's service quality affecting visitor's satisfaction in national parks(NPs). After reviewing the literature, this research selected and developed the indicators of visitor's service (VS) and have formulated the hypothesis of this research. This research had obtained data through a questionnaire, which surveyed 4,423 visitors at 8 NPs in 2005. We have analyzed the data using descriptive statistical methods, factor analysis, Pearson's correlation analysis, and multiple linear regression method. We found that 1) the results of factor analysis, the five factors of visitor's service (FVSs) i.e., assurance, reliability, empathy, tangibles, responsiveness have extracted. 2) in bivariate analysis, the positive relationships between user's satisfaction and FVSs are fairly low but statistically significant. The higher the value of the five factors of VS the higher the degree of user's satisfaction, 3) in multiple regression analysis, FVSs have been statistically significant at one percent level, and 4) the relative contribution of the assurance of VS on user's satisfaction have been determined to have respectively 2.85 times more important than that of the empathy of VS. The research results suggest that the management of natural resources, cultural resources, and park facilities in national park was the most important factor to increase visitor's satisfaction.

• Weed & Turfgrass Science
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• v.7 no.1
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• pp.54-61
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• 2018

Zoysiagrass (Zoysia spp.) exists spotly in Indonesia and it has potential to be used in parks, golf courses, and football fields. Many football fields and golf course fairways use sand as top soil over native soil. This study aims to analyze growth and quality of two native zoysiagrasses Zis and Zim. Zis is a native zoysiagrass collected in sea-side and Zim is a native zoysiagrass collected in mountain area. Both types of zoysiagrasses were planted at field with altitude of 300 m with various growing media mixes of sand and reservoir's sediment. Thickness of the growing medium was 10 cm over an alfisol clay soil. Experimental plots were constructed using factorial completely randomized design with two native zoysiagrasses and 5 types of growing media. Two ecotypes of native zoysiagrasses showed different in growth habits combined with mixtures of growth media. Zim showed higher growing speed including more vigor with uniformity and texture than Zis. There were not significanthly differences on leaf color and root length between two ecotypes of native zoysiagrasses collected in Indonesia.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.7
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• pp.847-856
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• 2017

In this paper, we propose a system to users which recommends suitable park using linguistic objects by rule-based inference engine which is made with Prolog. According to the function of city park, which provides positive elements to people such as social, psychological, environmental, and physical, Seoul city park is classified into 6 categories. The classified parks are recommended to users based on the rule based expert system. Rule-based object of park recommendation designs nine linguistic objects based on activity, multi-purposiveness, accessibility, and usage of time. This assigns allowed value accordingly. Generated rules by using these values are fired by user's preference, and infer recommended park. Information on preferences is obtained by way of dialogue, in which the user is asked questions about the three elements that are the criteria for choosing a park. As a result, through the park recommendation system, we intend to increase the user's satisfaction of using park and leisure activities.

• Journal of Korean Society of Forest Science
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• v.105 no.4
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• pp.472-485
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• 2016

The main purpose of this research was to develop a multi-level evaluation framework for the management effectiveness of the Forest Genetic Resources Reserve (FGRR) at both the system level and the site level. The initial system level Management Effectiveness Evaluation (MEE) framework for FGRR was developed based on the MEE Framework designed by IUCN WCPA and MEE framework for Korean National Parks that was designed jointly by IUCN, the Korean Ministry of Environment, and the Korea National Park Service. Several indicators were added or modified considering characteristics of the FGRR. The final system level MEE frameworks consisted of 6 categories with total of 39 criteria and 42 indicators based on expert survey results. The initial site-level MEE framework was developed based on the site level MEE framework for Korean National Parks that was designed jointly by IUCN, the Korean Ministry of Environment, and the Korea National Park Service. The final site level MEE framework consisted of 6 categories with total of 16 criteria and 40 indicators based on both an expert survey and an intensive workshop with the officers in charge of managing the FGRR from the Korea Forest Service and local governments.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.5
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• pp.44-56
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• 2023

This research explores the enhancement of park operation and management by analyzing the changing demands of park users. While traditional methods depended on surveys, there has been a recent shift towards utilizing social media data to understand park usage trends. Notably, most research has focused on text data from social media, overlooking the valuable insights from image data. Addressing this gap, our study introduces a novel method of assessing park usage using social media image data and then applies it to actual city park evaluations. A unique image analysis tool, built on Visual Question Answering (VQA) deep learning technology, was developed. This tool revealed specific city park details such as user demographics, behaviors, and locations. Our findings highlight three main points: (1) The VQA-based image analysis tool's validity was proven by matching its results with traditional text analysis outcomes. (2) VQA deep learning technology offers insights like gender, age, and usage time, which aren't accessible from text analysis alone. (3) Using VQA, we derived operational and management strategies for city parks. In conclusion, our VQA-based method offers significant methodological advancements for future park usage studies.