• Title/Summary/Keyword: Regional Facilities

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Operation status of Agricultural Machinery Rental Service and its Improvement Plan (농업기계 임대사업 운영실태 및 개선방안)

  • Shin, Seung-Yeoub;Lee, Jung-Min;Kim, Yu-Yong;Noh, Jae-Seung
    • Journal of Korean Society of Rural Planning
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    • v.22 no.4
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    • pp.61-69
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    • 2016
  • In order to reduce the farmers' burden of purchasing agricultural machinery and address the shortage of farm workers, the government have been promoting agricultural machinery rental service since 2003. Despite of political purpose, the outcome of agricultural machinery rental service turned out to be adverse, high cost and low efficiency, by the pork barrel projects operated from some municipalities. Therefore, this study was aimed to improve the efficiency of agricultural machinery rental service by analyzing the operation status of agricultural machinery in local government. A questionnaire survey was conducted at 134 cities and counties in terms of rent type, management personnel, business budget, agricultural machinery ownership, rental performance, use rates, operational problems, and improvement plan. This study found that some agricultural machinery rental offices were only focused on the short-term rental service, which caused the increasing number of operating personnel, required facilities/equipment. The short-term rental service has a limitation for promoting the mechanization rate in dry-field farming. Therefore, it should be carried out along with the long-term rental service which a lessee maintains and manages agricultural machinery directly. Furthermore, the reasonable number of agricultural machinery based on regional circumstances should be considered to meet rental demand and collect the minimal rental fee for purchasing new agricultural machinery and replacing old ones.

A Study on the Hereafter Development in Universal Design Surveyed on the Case Studies of Kitchen Design (부엌디자인 사례연구를 중심으로 살펴본 유니버설디자인의 전개방향에 관한 연구)

  • Choi, Eun-Hee
    • Archives of design research
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    • v.18 no.1 s.59
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    • pp.81-90
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    • 2005
  • Universal Design is comprised of three main concepts known as barrier-free, adaptive and life-span design. It does not focus on accessibility for the disabled, but rather expands its breadth to the comfortable use and easy access in ail physical environments and facilities. In this study, the researcher views the present and future of universal design through the cases of kitchen design. Based on the market changes in design guidelines and the changes of time uncovered from past studies, this researcher suggests that universal design would develop through mass customization for personalized use, application of new technology and consideration of psychological aspects. Additionally, for the diffusion of universal design appropriate solution in economic cost problem, social recognition and conversion of problem cognizance in designing is needed. In Korea design models of universal design concepts are not yet in production over various fields. In order to develop and study universal design which suits our country, cultural and regional characteristics should be considered as well as physical, perceptual, psychological aspects.

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A Positive Analysis of Housing Price Model in Seoul: Applications of Structural Equation Modeling

  • Kim, Kyong-Hoon;Lee, Yoon-Sun;Ahn, Byung-Ju;Kim, Jae-Jun
    • Architectural research
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    • v.9 no.2
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    • pp.27-35
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    • 2007
  • Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of apartment price between the north and south of the Han river. Because the housing price is decided by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. The purpose of study was to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy. In this study, we analyzed the differences of housing price determinants about apartment developments between the north and south of the Han river, and found the important factors that affect the housing price using Structural Equation Modeling(SEM). As a result of this study, the older the buildings are, the more the housing price and the housing price rising ratio have increased, in Gang Nam area. This reason is that these have large possibility to be reconstructed and many convenient facilities, in this area. In the case of Kang Buk area, the increase rate of housing price are so low that they couldn't take effect on the housing price and they were declined. So to speak, constructing the infrastructure which takes effect on the increase rate of housing price is very urgent.

Comparative Case Analysis for Development Characteristics of Foreign and Domestic Share-Houses (국내·외 쉐어하우스 사례 비교를 통한 개발특성 분석)

  • Lee, Heewon;Sung, Min-Ho;Kim, Do-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.6
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    • pp.3961-3968
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    • 2014
  • The portion of single-household in Korea is more than 20% of the total household, and expected to be increase every year and reach 24% in 2030. For the accommodation of single-households, a small housing system called the share-house has appeared and developed in Japan and Europe. In this study, a comparative case analysis was performed to determine the development criteria for foreign and domestic cases. The analysis was conducted in view of the building type and scale, plan layout, add-on facilities and features, and operational methods and target tenants. In the cases of Korea, the share-house is mainly developed through the remodeling of a single detached house with the characteristics of small scale and living room centered plan targeting specific individuals with clear operating themes. For foreign cases, it was developed through the remodeling of various buildings, such as hotels or motels, having the characteristics of medium or large scale and corridor type plan targeting for various individuals with a range of operational methods reflecting regional features.

Estimation of the Flash Flood Index by the Probable Rainfall Data for Ungauged Catchments (미계측 유역에서의 확률강우에 대한 돌발홍수지수 산정)

  • Kim, Eung-Seok;Choi, Hyun-Il;Jee, Hong-Kee
    • Journal of the Korean Society of Hazard Mitigation
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    • v.10 no.4
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    • pp.81-88
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    • 2010
  • As there occurs recently and frequently a flash flood due to the climate change, a sudden local flood of great volume and short duration caused by heavy or excessive rainfall in a short period of time over a small area, it is increasing that significant danger and loss of life and property in Korea as well as the whole world. Since a flash flood usually occurs as the result of intense rainfall over small steep slope regions and has rapid runoff and debris flow, a flood rises quite quickly with little or no advance warning to prevent flood damage. The aim of this study is to quantify the severity of flash food by estimation of a flash flood index(FFI) from probability rainfall data in a study basin. FFI-D-F(FFI-Duration-Frequency) curves that present the relative severity of flash flood are developed for a study basin to provide regional basic information for the local flood forecasting and warning system particularly in ungauged catchments. It is also expected that FFI-D-F curves can be utilized for evaluation on flash flood mitigation ability and residual flood risk of both existing and planned flood control facilities.

County-Based Vulnerability Evaluation to Agricultural Drought Using Principal Component Analysis - The case of Gyeonggi-do - (주성분 분석법을 이용한 시군단위별 농업가뭄에 대한 취약성 분석에 관한 연구 - 경기도를 중심으로 -)

  • Jang, Min-Won
    • Journal of Korean Society of Rural Planning
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    • v.12 no.1 s.30
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    • pp.37-48
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    • 2006
  • The objectives of this study were to develop an evaluation method of regional vulnerability to agricultural drought and to classify the vulnerability patterns. In order to test the method, 24 city or county areas of Gyeonggi-do were chose. First, statistic data and digital maps referred for agricultural drought were defined, and the input data of 31 items were set up from 5 categories: land use factor, water resource factor, climate factor, topographic and soil factor, and agricultural production foundation factor. Second, for simplification of the factors, principal component analysis was carried out, and eventually 4 principal components which explain about 80.8% of total variance were extracted. Each of the principal components was explained into the vulnerability components of scale factor, geographical factor, weather factor and agricultural production foundation factor. Next, DVIP (Drought Vulnerability Index for Paddy), was calculated using factor scores from principal components. Last, by means of statistical cluster analysis on the DVIP, the study area was classified as 5 patterns from A to E. The cluster A corresponds to the area where the agricultural industry is insignificant and the agricultural foundation is little equipped, and the cluster B includes typical agricultural areas where the cultivation areas are large but irrigation facilities are still insufficient. As for the cluster C, the corresponding areas are vulnerable to the climate change, and the D cluster applies to the area with extensive forests and high elevation farmlands. The last cluster I indicates the areas where the farmlands are small but most of them are irrigated as much.

Development of a Model to Predict the Number of Visitors to Local Festivals Using Machine Learning (머신러닝을 활용한 지역축제 방문객 수 예측모형 개발)

  • Lee, In-Ji;Yoon, Hyun Shik
    • The Journal of Information Systems
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    • v.29 no.3
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    • pp.35-52
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    • 2020
  • Purpose Local governments in each region actively hold local festivals for the purpose of promoting the region and revitalizing the local economy. Existing studies related to local festivals have been actively conducted in tourism and related academic fields. Empirical studies to understand the effects of latent variables on local festivals and studies to analyze the regional economic impacts of festivals occupy a large proportion. Despite of practical need, since few researches have been conducted to predict the number of visitors, one of the criteria for evaluating the performance of local festivals, this study developed a model for predicting the number of visitors through various observed variables using a machine learning algorithm and derived its implications. Design/methodology/approach For a total of 593 festivals held in 2018, 6 variables related to the region considering population size, administrative division, and accessibility, and 15 variables related to the festival such as the degree of publicity and word of mouth, invitation singer, weather and budget were set for the training data in machine learning algorithm. Since the number of visitors is a continuous numerical data, random forest, Adaboost, and linear regression that can perform regression analysis among the machine learning algorithms were used. Findings This study confirmed that a prediction of the number of visitors to local festivals is possible using a machine learning algorithm, and the possibility of using machine learning in research in the tourism and related academic fields, including the study of local festivals, was captured. From a practical point of view, the model developed in this study is used to predict the number of visitors to the festival to be held in the future, so that the festival can be evaluated in advance and the demand for related facilities, etc. can be utilized. In addition, the RReliefF rank result can be used. Considering this, it will be possible to improve the existing local festivals or refer to the planning of a new festival.

The Influence of Physical Environments on Tourist's Emotional Response & Behavioral Intention in Tourist Destination (관광목적지의 물리적 환경이 감정적 반응과 행동의도에 미치는 영향)

  • Kim, Gyu-Young;Lee, Jung-Eun
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.123-132
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    • 2014
  • This study examines the influence of the physical environment on tourist's emotional response and behavioral intention in the tourist destination. The research was mainly performed in leading tourist destinations of Busan Metropolitan City (Haeundae, Gwanganri & Songjeong area) by the sampling survey method in April-May 2013. The results demonstrate as follows. Firstly, the tourist's convenience and amenity in physical environments have significant impacts on the negative feeling of emotional response, but attractiveness did not influence in negative feeling. By contrast, the attractiveness and amenity the a of physical environments give significant impacts on the positive feeling of emotional response but convenience did not work in positive response. Secondly, both positive and negative feeling of emotional responses give meaningful impacts on Tourist's behavior intention. According to the meaningful relationship between physical environment and emotional response, the regional characteristics and effective marketing management of tourism resource and preparedness should be considered in setting up tourist facilities.

Population-related factors affecting the regional distribution of medical institutions in Korea (지역별 요양기관의 분포에 영향을 미치는 인구관련 요인)

  • Lee, Sunkyoung;Cho, Eunseong;Yoon, Seok-Jun
    • Korea Journal of Hospital Management
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    • v.18 no.2
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    • pp.15-32
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    • 2013
  • Few public health researchers have paid research attention to the location of medical institutions in Korea. Previous studies were published in geography journals, and relied on limited data in terms of geographic regions and the type of medical institutions. This study utilized nationwide data covering 8 types of medical institutions. We obtained data from Health Insurance Review and Assessment Service and National Population and Housing Census. The correlation coefficients of resident, daytime, university-graduate population, and the population of different age groups (fewer than 15, 15~64, 65 or more) were compared to understand their relative association with the location of medical institutions. Medical clinic, dental clinic, oriental medical clinic, and pharmacy, all of which are almost completely operated by private sector, showed strong positive correlation with population. Hospital-level medical institutions, which are operated by both public and private sector, had moderate positive correlation. Daytime population and university-graduate population, rather than resident population, were more correlated with the location of medical clinics. The correlation coefficients of the population of 15~64 age group and the location of medical institutions were greater than that of other age groups. The results showed that daytime and university-graduate population are more important than resident population to explain the location of medicalrelated facilities. The results also suggests that the population of age groups (especially, 15~64) might be one of important influence factors in the location of medical institutions.

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Characteristic of BTEX Concentration Ratio of VOC Emission Sources and Ambient Air in Daegu (대구지역 환경대기 및 VOC 발생원의 BTEX 농도비 특성)

  • Choi, Sung-Woo
    • Journal of Environmental Science International
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    • v.16 no.4
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    • pp.415-423
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    • 2007
  • This study assessed the characteristic of BTEX (Benzene, Toluene, Ethylbenzene, Xylene) concentration ratios of industrial emission sources and the neighborhoods of industrial area, fuel such as gasoline, light oil, LPG, and similar gasoline, and ambient air in Daegu. The BTEX in aromatic compounds was the most abundant VOC in Daegu. The BTEX ratios were (0.2:2.6:1.0:1.8) for the neighborhoods of industrial area, (2.6:11.3:1.0:1.2) for residential area, (2.2:11.0:1.0:1.6) for commercial area, (1.0:14.9:1.0:1.3) for industrial area, and (0.2:2.6:1.0:1.8) for the neighborhoods of industrial area. Average BTEX ratios in Daegu were B/T ratio (0.1), B/EB ratio (1.5), B/X ratio (1.1), T/EB ratio (12.6), T/X ratio (10), EB/X ratio (0.7), Expecially, B/T ratio in Daegu was similar as the other cities, Bangkok, Manila, and Hongkong. Comparing other cities with B/T ratio, the main sources of VOC were vehicular exhaust and emission of industrial facilities. Furthermore, BTEX correlation were evaluated at the emission sources and regional areas. Results showed that correlation coefficient values of emission sources, fuels and neighborhood of industry were significant magnitude above 0.65(p<0.01). Also, there showed highly significant correlations among BTEX. Calculated correlation coefficients of ambient air sampling sites were $0.61{\sim}0.954$ for commercial /residential area and $0.613{\sim}0.998$ for industrial area. However, they showed different correlation between commercial/residental area and industrial area. It implied that the emission sources were different from each area.