• Journal of recreation and landscape
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• v.6 no.2
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• pp.63-71
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• 2012

As the interest in rural tourism has been increasing since the late 1990s, the research associated with rural tourism has increased, including research on the classification of rural tourism resources. The research classifying these resources has proved useful to many other studies. Although such studies have been conducted for a long time, they have expressed only experts' perspectives and been supported by statistics, without reflecting on users' opinions. Given this background, this study aims to classify rural tourism resources by focusing on the rural activities for tourists who use those tourism resources. To achieve this, each study participant proceeded to collect tourism resources by using a rural amenity resources database, and a card sorting test was conducted. Thirty-two people who had previously gone sightseeing in the rural areas were chosen as participants in the card sorting test. After the card sorting test was complete, the results were reviewed by experts. These results yielded six categories: doing nature activities, eating and cooking local dishes, putting up (overnight stays), going sightseeing/appreciating the landscape, enjoying leisure activities, and doing artistic activities. In the doing nature activities category, there were four subcategories: experiencing local resources, experiencing nature, experiencing tradition, and harvesting. This study was conducted to improve the satisfaction and understanding of the tourists who visit rural areas. Thus, the classification of rural tourism resources developed by this study will be widely used to establish the framework or contents of websites, applications, and so on, for promoting rural tourism resources and local resources.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.81-93
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• 2013

The selection of land for fishing village development project, and the standard used to classify fishing villages has been determined based on the guidelines developed by fishing village cooperatives. The approach fishing village cooperatives follows is likely to classify fishing villages without first reflecting on the overall development environment of the region, such as other industries and workers in the area. It also acts as a barrier for business promotion or evaluation, because the cooperatives do not match the administrative districts, which are the units of administration, and the main policy enforcement agent in regional development. Against this background, this study aimed to identify categories to situate the development direction, as well as the size and distribution of fishing villages based on eup, myeon, and dong administrative units as defined by the Fishing Villages and Fishery Harbors Act. This study was based on the Census of Agriculture, Forestry, and Fisheries of 2010, and analyzed 826 eups, myeon, and dongs with fishery households using the principal component analysis, and 2-Step cluster analysis methods. Therefore, 95% of the variance was explained using the covariance matrix for types of fishing villages, but it was analyzed as one component focusing on the number and ratio of fishery households, and used the cluster-type analysis, which focused on the sizes of fishing villages. The clusters were categorized into three types: (1) the development type based on the number of fishermen in the eups, myeons and dongs was analyzed as village size (682); (2) administrative district size (121); and (3) total eups, myeons and dongs (23), which revealed that the size of most fishing villages was small. We could explain 73% of the variance using the correlation coefficient matrix, which was divided into three types according to the three principal component scores, namely fishery household power, fishery industry power, and fishing village tourism power. Most fishing villages did not have a clear development direction because all business areas within the region were diversified, and 552 regions could be categorized under the harmonious development type, which is in need of balanced development. The fishery industry type typified by industrial strength included 159 regions in need of an approach based on industrialization of fishery product processing. Specialized production areas, which specialized in producing fishery products, were 115 regions with a high percentage of fishermen. The analysis results indicated that various situations in terms of size and development of fishing villages existed. However, because several regions exist in the form of small village units, it was necessary to approach the project in a manner that directed the diversification of regional development projects, such as places for local residents to relax or enjoy tourism experiences within the region, while considering the overall conditions of the relevant eups, myeons, and dongs. Reinforcement of individual support for fishermen based on the Fisheries Act must take precedence over providing support for fishermen through regional development. In addition, it is necessary to approach the development of fishing villages by focusing on industrializing the processing techniques of fishery products. Areas specialized in the production of fishery products are required to consider the facilities for fisheries production, and must make efforts to increase fishery resources, such as releasing fry.

• Journal of the Korean Institute of Rural Architecture
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• v.22 no.3
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• pp.41-48
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• 2020

The purpose of this research is to manage the physical sectors systematically, needed for the selection and direction of declining areas, such as urban regeneration and revitalization projects, by grading the density of decline indicators of buildings in small and medium cities. In five small and medium-sized cities in Jeollanam-do, the data were divided into three stages according to the density, according to the use, structure, and age of the building. Rating by element of Census Output Area, detailed designation, and management of declining areas in small and medium-sized cities are required, rather than setting the scope of declining areas based on administrative districts. It is also necessary to manage cities through complex and intra-element phasing rather than single elements in defining physical decline. The analysis based on the complex factors and boundary of the Census Output Area is meaningful in order to maintain and manage such cities in a more detailed and precise manner according to such characteristics of each region.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.1
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• pp.51-58
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• 2021

The purpose of this study is to use urban regeneration management types through classification and step-setting of physical types by administrative dong as the basis data for future urban management plans in local small and medium cities. The analysis was conducted on the physical density of each administrative dong by setting the data on urban and architecture provided by the government as three elements: buildings, lots, roads, etc. Through the system classified in this study, Mokpo City's 23 administrative districts were divided into nine management types and three management steps. Methodology can be utilized to establish areas of similar areas within the city and to use them as basic data for planning management. It is meaningful that it is possible to extract areas that need actual regeneration and maintenance through physical density analysis and plan suitable projects.

• KIEAE Journal
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• v.12 no.1
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• pp.55-63
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• 2012

Ever since China declared its economic reform and opening up policies in the late 1970s, it has been under rapid change. The modernization process of China's history and society was in progress at a pace far too fast in the middle of the 20th century, and housing sector was no exception. This study is based on the houses showing enough changes of modernization process in the rural area, and with a comparative analysis based on the field survey data conducted respectively in the present decade, considered the architectural elements and changing aspects of housing lifestyle. This paper will explore (1) The changes and the status of the members of the village, (2) The changes and the status of the structures, (3) The changes and the status of the main areas of housing, (4) The changes and the status of the heating system and the kitchen that crucially affects the space size among the housing facilities, and (5) The changes and the status of the bathroom. Through this analysis, this paper will firstly look at how traditional rural houses has been changed under the modernization process, and will objectively evaluate the modernization process of the traditional rural houses so that it will help find a way of improving China's rural houses in the future.

• Korean Journal of Health Education and Promotion
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• v.33 no.5
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• pp.83-91
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• 2016

Objectives: This study was aimed to investigate utilization of health promotion indices of the 3rd National Health Plan 2011-2020 (HP2020) in the 6th Korean Community Health Plan. Methods: Health promotion indices were defined as a set of indicators on smoking, alcohol drinking, physical activity, nutrition and obesity used in HP2020. This indices were categorized into essential indicator, accessory indicators and others. Based on chi-square test, we analyzed utilization of health promotion indices in 186 Community Health Plans by regional classifications: four large influence areas (SudoGangwon, Chungcheong, Gyeongsang and HonamJeju) and four regional classification (metropolitan district, city, urban-rural area and rural area) Results: Among total 186 plans, indicator utilization rate were 97.8% in smoking, 71.0% in alcohol drinking, 91.9% in physical activity, 99.5% in nutrition and 72.0% in obesity. Utilization rates of alcohol drinking indicators and essential indicators in alcohol drinking show significantly difference by four large influence areas (p<0.01) and four regional classification (p<0.01). Essential indicators in physical activity show significantly difference by four large influence areas (p<0.01). Conclusions: Central government must provide technical assistance and educate personnel in community health centers and provincial health department about meaning and usefulness of Health Plan 2020 indicators.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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• pp.17-26
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• 2022

It is necessary to prepare a stable production base in advance for a change in the global grain market, and it is required to prepare comprehensive countermeasures such as securing technical skills and cultivation technology. Therefore, Korea, which relies on imports of major grains other than rice, could be exposed to a food crisis at any time unless the self-sufficiency rate of grains is improved. In order to respond to this new food crisis, it is necessary to find ways to efficiently utilize rice fields to increase the domestic grain self-sufficiency rate. From this point of view, interest and demand for the generalization of farmland that can be used as paddy fields and returned to paddy fields are increasing, and related research is also being continuously performed. In order to select a multipurpose farmland project site, this study extracted farmland containing 10% or more purchased and stockpiled farmland through spatial analysis (buffer, dissolve, intersect, etc.), and finally presented areas subject to multipurpose farmland projects. The target site for the multipurpose farmland project was finally selected by integrating data onto a point-by-point basis so that the current status of farmland purchased and stockpiled, Farm Manager Registration Records, and the Korean Soil Information System data (drainage classes, surface soil texture, field-suitability classification, etc.) can be used in combination. There are 175 areas where the multipurpose farmland is possible. Incheon 2, Gyeongbuk 40, Gangwon 2, Chungbuk 7, Chungnam 48, Jeonbuk 34, Jeonnam 19, Gyeongbuk 15, Gyeongnam 8. Chungcheongnam-do has the most target site for the multipurpose farmland project, and Gangwon-do is the least. It is expected to contribute to new commercialization and business expansion by deriving business areas by identifying the scale of the farmland multipurpose farmland project using Farm Manger Registration Records and spatial data.

• Journal of Korean Society of Rural Planning
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• v.11 no.2 s.27
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• pp.43-49
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• 2005

As information has been brought to public attention, information storage as well as information usability has been important. Rural information is produced in many areas and institutions. However, it is difficult to use rural information comprehensively. Since formats for management are various, it is difficult to have unified frame. In this research, a schema of database fer integrating rural data is designed to improve usability using dimensional modeling. First of all, rural data are analyzed for designing integrated rural database schema. Rural data used are 'National Agricultural Statistics' and 'Gun annual statistical report'. Analysis shows that there are three considerations; administrative district, time-dependency and classification of data. Considering these three requisite, we designed database schema using dimensional modeling. The reason of using dimensional modeling is to improve usability and effectiveness. If the database was designed using ER modeling, many tables have to be joined every searching time. Separately from integrated rural database schema, user's database schema is designed considering usability. Through user's database, users can modify data or generate new data and save these processes. These make it possible to use generated data repeatedly. We evaluate usability, contribution, and effectiveness of data manipulation on the integrated rural database. We propose an integrated rural database structure improving the accessibility and usability of rural data and information and verified the data model based on a practical example.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.3
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• pp.76-88
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• 2015

This paper presents a classification method based on the combination of active learning with temporal contextual information extracted from past land-cover maps for the classification of crop cultivation areas. Iterative classification based on active learning is designed to extract reliable training data and cultivation rules from past land-cover maps are quantified as temporal contextual information to be used for not only assignment of training data but also relaxation of spectral ambiguity. To evaluate the applicability of the classification method proposed in this paper, a case study with MODIS time-series vegetation index data sets and past cropland data layers(CDLs) is carried out for the classification of corn and soybean in Illinois state, USA. Iterative classification based on active learning could reduce misclassification both between corn and soybean and between other crops and non crops. The combination of temporal contextual information also reduced the over-estimation results in major crops and led to the best classification accuracy. Thus, these case study results confirm that the proposed classification method can be effectively applied for crop cultivation areas where it is not easy to collect the sufficient number of reliable training data.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.243-255
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• 2016

This study aims to identify the characteristics of businesses influencing the choice of their type in the 6th industry and analyze how they work. This study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing, region, the type of service, and the production percentage in a province affected a choice of the type. The most important variable that impacted how businesses in the 6th industry chose their type was the type of agricultural product processing, and if a business produced simple agricultural products, it was likely to specialize into $1st^*2nd$ or $1st^*3rd$. Access to large consumption areas was a critical factor in the growth of 2nd and 3rd industrial functions. These findings would contribute to establishing a model to develop the 6th industry and empirically demonstrate the importance of access to large consumption areas for agricultural businesses and rural tourism.