• Journal of Korean Society of Rural Planning
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• v.8 no.1 s.15
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• pp.105-113
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• 2002

This investigation aims to provide basic data for rural village planning and rehabilitation planning. Public infrastructures of forty selected villages have been surveyed. Provision of facilities, user satisfaction, perceived problems, and conditions of maintenance have been surveyed for three classified types of infrastructures; 1) public utility spaces such as community hall, and parking lots, 2) public production infrastructures such as warehouses, and irrigation facilities, and 3) public infrastructures for living environments such as roads, water supply, and sewage system. All twenty smaller villages (ki-cho-ma-ul) had problems of poor conditions and insufficient spaces with community halls. Most of the smaller villages suffered from lack of public production infrastructures, or had problems of insufficient spaces and poor maintenance conditions. They also lacked good access roads with adequate right of ways. Only three villages were provided with sewage systems. In the twenty larger villages (myun-bo-ma-ul), though public utility spaces were provided for most of them (as an example, sixteen villages had welfare centers), they were not large enough and they were maintained in poor condition too. On the one hand twelve of the larger villages had farm machine service centers, only a few villages were equipped with warehouses. Many more public infrastructures for living environments were found in larger villages. However, only a few villages had pollution control facilities. Multidimensional scaling revealed groups of distinctive characteristics, in terms of public infrastructures, among smaller villages. It did not show any noticeable distinctions among larger villages.

• Land and Housing Review
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• v.13 no.2
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• pp.81-90
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• 2022

This study is based on social needs for green healing spaces assumed to enhance mental health in a city. This study proposes development directions through the analysis of modern social recognition factors for neighborhood gardens. As a research method, web information data was collected using Textom among big data tools. Text Mining was conducted to extract elements and analyze their relationship through keyword analysis, network analysis, and cluster analysis. As a result, first, the healing space and the healing environment were creating an eco-friendly healthy environment in a space close to the neighborhood within the city. Second, neighborhood gardens included projects and activities that involved government, local administration, and citizens by linking facilities as well as living culture and urban environments. These gardens have been reinforced through green welfare and service programs. In conclusion, friendly gardens in the neighborhood for the purpose of public interest, which are beneficial to mental health, are green infrastructures as a healing environment that can produce positive effects.