• Journal of the Korean Institute of Rural Architecture
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• v.24 no.4
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• pp.77-84
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• 2022

The purpose of this study is to derive implications by comparing the spatial distribution of each service facility per unit population(1,000 people) with population decline areas. For this purpose, major concepts such as living infrastructure services, Spatial Distribution of Rural Living Service Facilities, areas of declining population, and regional extinction were reviewed and trends in prior research. Based on the literature review, 'Spatial Distribution of Rural Living Service Facilities' analysis criteria were set, and it was derived by 'the number of facilities per 1,000 population by township' using population data and rural space data. And the trend of each service sector was identified and implications were derived with 89 cities and counties in 'depopulation areas' suggested by the Ministry of Public Administration and Security. The derived implications are as follows. In the medical, leisure, and sports infrastructure sectors, 'rural areas with few service facilities per unit population' and 'depopulated areas' tended to coincide. In addition, the distribution characteristics of rural and urban areas differed by sector, which is judged to depend on the inclusion of rural facilities and population density.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.19-27
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• 2019

The purpose of this study was to determine whether public services in rural areas performed the functions of public interest value that benefited all residents of rural areas. Therefore, the results were derived through spatial distribution and population characteristics analysis at the level of basic living service facilities. As a result, the status of spatial distribution in the Favorable and Vulnerable areas of rural villages and the status of population distribution in the vulnerable areas was analyzed for retail, child care and medical facilities. In the case of retail facilities, it was found that more than 80.0% of the country's farming villages were distributed in the favorable areas that could be reached within 15 minutes. In the case of child care facilities, 91.5% of the total number of favorable areas could be reached within 15 minutes, and the distribution of child care facilities nationwide was deemed proper. In the case of medical facilities, 90.8% or more villages could be reached within 15 minutes of travel time as a lawmaker, and in the case of hospitals and emergency medical services, 92.7% of hospitals and 68.2% of emergency medical services were analyzed as favorable areas. Through these results, the government intends to establish objective spatial data in rural areas to provide basic information on policy directions and contribute to planning.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.3
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• pp.39-46
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• 2022

This study aims to derive basic living service facility items in rural areas and construct related spatial data. To do this, a literature review on the laws and systems related to the residential environment and services in rural areas, rural spatial planning, and the 'Rural Convention' strategic plan reports for the Jeolla and Gyeongsang Region in 2021 was conducted. Primary data collection and review on the list of basic living service items in rural areas derived from the analysis were conducted. After data collection, 12 sectors and 44 types of rural basic living service items were derived; the data selection was carried out based on the clarity of the subject of data management, whether it was established nationwide, whether it was disclosed and provided, whether it was periodically updated, and whether it was an underlying law. Afterwards, data on the derived rural basic living service items were constructed. Afterwards, spatial data on the derived rural basic living service items were constructed. Because open data provided through various institutions were employed, data structure unification such as data attribute values and code names was needed, and abnormal data such as address errors and omissions were refined. After that, the data provided in text form was converted into spatial data through geocoding, and through comparative review of the distribution status of the converted data and the provided address, spatial data related to rural basic living services were finally constructed for about 540,000 cases. Finally, implications for data construction for diagnosing rural living areas were derived through the data collection and construction process. The derived implications include data unification, data update system establishment, the establishment of attribute values necessary for rural living area diagnosis and spatial planning, data establishment plan for facilities that provide various services, rural living area analysis method, and diagnostic index development. This study is meaningful in that it laid the foundation for data-based rural area diagnosis and rural planning, by selecting the basic rural living service items, and constructing spatial data on the selected items.