• Journal of The Korea Institute of Healthcare Architecture
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• v.17 no.1
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• pp.41-50
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• 2011

This paper assesses the evidence of the built environments' impact on patients' and staff's well-being. It also introduces evidence-based design (EBD) and discusses barriers and solutions for promoting EBD. EBD is an informed approach to design by improving design decisions based on best available knowledge. Designers should provide psychologically and physically supportive environments to promote occupants' well-being. There is increasing evidence that a poorly designed environment elicits negative feelings and stress. Better design will lead to better outcomes especially when it applied to a vulnerable population such as patients, children, and the elderly. Due to high demands of promoting patients' health, healthcare providers and professional designers have been searching for evidence to create healing environments. EBD has been well received in healthcare facilities design and is expanding to other types of environmental design such as educational and commercial design. Design firms should consider EBD as a value-added component of design to meet current and future challenges. It is important for designers to realize that engaging in EBD is not a rejection of creativity, but a means by which to scrutinize their design projects. With critical literature reviews on healing environments, there is sufficient evidence that well-designed environments can promote patients' and medical staff's health outcomes.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.45-57
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• 2019

This study aims to explore the policy directions to apply and activate the appropriate technology in rural areas from the perspective of the endogenous and sustainable regional development theories. To this end, according to the analysis framework based on ideas, values, and strategies that are common to both endogenous regional development strategic theories and sustainable regional development theories, in this paper, various surveys and reviews were conducted on the study areas to explore the possibility of localization of the appropriate technology. The policy implications derived from research results are as follows; first, rural areas have high potential and scalability to apply and activate the appropriate technology, particularly in the field of renewable energy, due to their nature based on local resources. Second, for the practical application of the appropriate technology, first of all, together with the establishment of the role of public sector, it is necessary to plan the projects based on the cooperation network of the relevant innovation entities within and outside the regions and to build the implementation systems. Third, the training system for high skilled manpower and indigenous entrepreneurs should be stably built in order to create independent conditions, which are key elements for growth of the appropriate technology. Fourth, there is a need to find the market and establish policies that can solve the typical economic problems of rural areas such as aging population, depopulation and decline in youth, economic unrest. Fifth, in order for the appropriate technology to contribute to socio-economic innovations and the revitalization of the virtuous circle economy in the region, technical items and various business items suitable for the industrial infrastructures and autonomous conditions of rural areas are essential.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.1
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• pp.17-33
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• 2023

Disasters in coastal regions are a constant source of damage due to their uncertainty and complexity, leading to the proposal of green infrastructure as a nature-based solution that incorporates the concept of resilience to address the limitations of traditional grey infrastructure. This study analyzed trends in research related to coastal disasters and green infrastructure by conducting a co-occurrence keyword analysis of 2,183 articles collected from the Web of Science (WoS). The analysis resulted in the classification of the literature into four clusters. Cluster 1 is related to coastal disasters and tsunamis, as well as predictive simulation techniques, and includes keywords such as surge, wave, tide, and modeling. Cluster 2 focuses on the social system damage caused by coastal disasters and theoretical concepts, with keywords such as population, community, and green infrastructure elements like habitat, wetland, salt marsh, coral reef, and mangrove. Cluster 3 deals with coastal disaster-related sea level rise and international issues, and includes keywords such as sea level rise (or change), floodplain, and DEM. Finally, cluster 4 covers coastal erosion and vulnerability, and GIS, with the theme of 'coastal vulnerability and spatial technique'. Keywords related to green infrastructure in cluster 2 have been continuously appearing since 2016, but their focus has been on the function and effect of each element. Based on this analysis, implications for planning and management processes using green infrastructure in response to coastal disasters have been derived. This study can serve as a valuable resource for future research and policy in responding to and managing various disasters in coastal regions.

• Journal of the Korean housing association
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• v.26 no.4
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• pp.119-127
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• 2015

Many researchers addressed a strong need for providing diverse senior housing options to accommodate different demands from the growing senior population in Korea. One option can be the university-based retirement community (UBRC) which is linked to the adjacent universities and offers various physical, educational, and recreational programs for residents. The primary purpose of this study was to identify major features of the UBRC in terms of development, management, level of college participation, and types of care services for senior residents and to suggest future implementation directions in Korea. Two cases from the United States were selected and investigated to accomplish this goal. Main features of the UBRC were identified as follows: The university linked to each subject community was strongly involved in the development process. Their original residents were mainly recruited from university retirees. The strong university involvement became diminished as the retirement communities got settled down. This study analyzed these architectural, managerial, and development features and suggested future implication directions of university-based retirement communities in Korea.

• Journal of the Korean housing association
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• v.26 no.1
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• pp.119-128
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• 2015

This study aimed to develop Korean types of the university-based continuing care retirement community. CCRCs (Continuing care retirement communities), where senior residents are guaranteed to get continuous cares without moving out even under their deteriorating health condition, has been identified as the appropriate residences that can accommodate aging-in-place needs. Aging-in-place may be ideal for the increasing senior population and older households. Recently in the United States, as many retirees looked for intellectually and physically active environments that also offer intergenerational programs, university-based retirement communities (UBRCs) became popular and their number reached 60 campuses nationwide. This numbers is expected to grow significantly over the next two decades. We conducted case studies that targeted two representative UBRCs and identified four categories of main features. They were general characteristics, architectural features, services or programs, and management system. This study result highlighted key features of the UBRCs that can be the foundation for the future UBRCs development in Korea.

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.11
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• pp.1559-1571
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• 2008

A rule was developed to constrain the annual rate of inbreeding to a predefined value in a population with different lifetimes between sires and dams, and to maximize the selection response over generations. This rule considers that the animals in a population should be divided into sex-age classes based on the theory of gene flow, and restricts the increase of average inbreeding coefficient for new offspring by limiting the increase of the mean additive genetic relationship for parents selected. The optimization problem of this rule was formulated as a quadratic programming problem. Inputs for the rule were the BLUP estimated breeding values, the additive genetic relationship matrix of all animals, and the long-term contributions of sex-age classes. Outputs were optimal number and contributions of selected animals. In addition, this rule was combined with the optimization of emphasis given to QTL, and further increased the genetic gain over the planning horizon. Stochastic simulations of closed nucleus schemes for pigs were used to investigate the potential advantages obtained from this rule by combining the standard QTL selection, optimal QTL selection and conventional BLUP selection. Results showed that the predefined rates of inbreeding were actually achieved by this rule in three selection strategies. The rule obtained up to 9.23% extra genetic gain over truncation selection at the same rates of inbreeding. The combination of the extended rule and the optimization of emphasis given to QTL allowed substantial increases in selection response at a fixed annual rate of inbreeding, and solved substantially the conflict between short-term and long-term selection response in QTL-assisted selection schemes.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.2 s.36
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• pp.77-88
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• 2006

Overpopulation has been one of the most serious problem of the Seoul Metropolitan Area (SMA), which consists of the City of Seoul, Incheon, and the whole of Gyeonggi Province. People have been still moving into SMA, especially being concentrated into the fringe of Seoul. This study examines the inner city decline phenomenon of SMA which can be easily found in large cities over the world, based on the demographic data of these area. In addition, this study monitors the imbalance in growing of SMA by analyzing RMI (Rank Mobility Index), and the inverse relation between the self sufficiency of the adjacent area and the commuting rate to Seoul by analyzing commuting data. Even though the total population has been unchanged, the internal change of population was substantial. The growth of Seoul Metro region was placed near the city of Seoul, especially commuter data reassured the population concentrations. The results will be useful in urban planning and growth management.

• Journal of Preventive Medicine and Public Health
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• v.40 no.3
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• pp.213-217
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• 2007

Objectives : This study aimed to calculate the survival rates of cancer patients in Jeju Island residents from 2000 to 2001, based on their major primary sites of occurrence. Methods : Data were extracted from the database of the Jejudo Cancer Registry (JCR). The eligible population comprised 2,382 cancer cases, whose cancers were diagnosed from 1 January 2000 through 31 December 2001. Of the eligible population, 1,438 patients with 5 major cancers defined by the level of incidence rates were selected as the study participants. The period of survival for each case was calculated from the date of first diagnosis to the date of death, or the end of follow-up, i.e., 31 December 2003. The observed survival rates (OSR) and relative survival rates (RSR) were calculated according to sex, age-group, and primary sites of occurrence. Results : The 3-year OSR and RSR in 5 major cancers were higher in women than in men except 75 year-old over group. The 3-year RSR of stomach, colorectum, liver, and lung in both sexes were 61.0%, 62.6%, 24.7%, and 22.8%, respectively. The respective rates in JCR showed some statistically significant differences from those in the Korea Central Cancer Registry (KCCR). Conclusions : These results would suggest some clues about prognostic factors of major cancers in Korean, and could apply to planning and evaluating of cancer control strategies in Jeju Island.

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.144-152
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• 2022

Objectives: This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries. Methods: COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection. Results: A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (β=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (β=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (β=-0.423). A national Bacillus Calmette-Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (β=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (β=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (β=-0.362 and -0.449, respectively). Conclusions: These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19.

• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.472-479
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• 2024

Half of the world's total population lives in cities, continuous urbanization is progressing, and the urban population is expected to exceed two-thirds of the total population by 2050. To resolve this phenomenon, the Korean government is focusing on building a new urban air mobility (UAM) industrial ecosystem. Airlines are also part of the UAM industry ecosystem and are preparing to improve efficiency in safe operations, passenger safety, aircraft operation efficiency, and punctuality. This study performs demand forecasting using time series data on the number of daily passengers on Korean Air's Gimpo to Jeju route from 2019 to 2023. For this purpose, statistical and machine learning models such as SARIMA, Prophet, CatBoost, and Random Forest are applied. Methods for effectively capturing passenger demand patterns were evaluated through various models, and the machine learning-based Random Forest model showed the best prediction results. The research results will present an optimal model for accurate demand forecasting in the aviation industry and provide basic information needed for operational planning and resource allocation.