• The Journal of Economics, Marketing and Management
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• v.12 no.5
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• pp.9-20
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• 2024

Purpose: This study aims to analyze the application of Industry 5.0 technologies to improve residential welfare, focusing on vulnerable groups such as the elderly and one-person households. Research design, data, and methodology: Through a literature review and SWOT analysis, it examines both the strengths and challenges of these technologies, which include AI, IoT, energy management solutions, and personalized systems. Results: The application of Industry 5.0 technologies in residential welfare offers opportunities for enhanced personalization, energy efficiency, and security, especially for vulnerable groups like the elderly and one-person households. However, challenges such as high costs, data privacy, infrastructure limitations, and technological inequality must be addressed to ensure equitable access and widespread adoption. Conclusions: The research identifies key areas for improvement, including data privacy, infrastructure limitations, and the need for equitable access to advanced housing solutions. By addressing these areas, the adoption of Industry 5.0 technologies can help create a more resilient, inclusive, and efficient residential welfare system for future generations.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.17-22
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• 2022

Currently, the housing supply rate exceeds 100%, and the penetration rate continues to increase. This housing supply rate is changing from quantitative supply-oriented to improving the quality of the residential environment in housing service policies. Despite the increase in the housing supply rate, practical access to the vulnerable class is still difficult and there are many areas that are insufficient to use housing services when necessary. In addition, the demand for residential services is increasing due to the expansion of the scope of the vulnerable class. In order to compensate for these problems, facilities and joint occupancy that cannot guarantee independent living are mainly established, although a supply plan is established for the vulnerable by expanding policies and support projects. This paper proposes an IoT environment-based housing support system for vulnerable groups to support housing services for vulnerable groups. The proposal system improves the quality of the residential environment and provides service-oriented support services. Through the proposal system, appropriate social participation opportunities can be provided by improving the quality of life of the vulnerable and supporting a residential environment where independent living is possible.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.105-116
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• 2023

In this study, evaluation indicators for quantitative and qualitative indicators were presented by resetting the evaluation indicators for the selection of the living conditions renovation project for vulnerable residential areas by reflecting the results of expert importance. The appropriateness of the project selection evaluation index was reviewed by comparing the results of the expert AHP importance survey to make the project sustainable and to discover vulnerable villages. Evaluation items were constructed based on the guidelines for selecting the target site, and AHP importance evaluation was performed using this evaluation item as a proxy variable. Based on the data collected from 152 villages in Gimhae-si for case studies, the evaluation results were derived by applying the existing guideline evaluation indicators and evaluation indicators reflecting the importance proposed in this study. As a result of the study, Overall, there was a positive correlation between the results of the existing guideline evaluation and the results of the AHP importance survey, but in detail, there is a difference in the results evaluated by the two evaluation methods. In the future, if the scope of participating experts is expanded to supplement the importance evaluation, and the evaluation grade is set by analyzing quantitative data from Gyeongsangnam-do or rural areas nationwide, local governments and others will use this evaluation index as basic data when promoting the project.

• Journal of Korean Society of Rural Planning
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• v.24 no.1
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• pp.67-74
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• 2018

The rural areas are large residential space with fewer people than urban areas. That is why they are vulnerable to social services such as health care and security. This research analyzed the vulnerability of emergency relief service in rural village through text mining and the weighting value have been calculated. Based on the calculated statistics data, the police facilities are the most important, While the fire fighting and hospital facilities are important as well. In addition, the distance from the emergency relief service facility to the rural village was confirmed by using Open API. By combining these results, The vulnerable areas of the rural villages and the emergency relief service facilities were calculated and classified into 5 levels. For rural areas, the 1st class will have 33 places, following by 1,179 in 2nd class, 199 in 3rd class, 17 in 4th class and 8 in 5th class. Hence in order to further supplement the vulnerable areas to emergency relief service in villages, geographical relocation and policy approach of emergency relief service facilities are necessary.

• Land and Housing Review
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• v.5 no.3
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• pp.151-167
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• 2014

Urban space structure in South Korea when through drastic changes ever since public housing policies began their full-fledge implementation. That is, public housing policies represent the main cause for formation of the current urban space structure, as the public houses are constructed in accordance with changes of demographic/social structure, considering changes of housing demand, in urban spaces demanded by the end users. After rapid industrialization and urbanization in the 1960's, each government in different periods have implemented housing supply policies through massive urban developments, to resolve the issue of housing shortage and residential instability. Phase 1 New Towns were developed in the 1980's resulting in suburbanization of the Seoul Area, followed by urban sprawl due to construction of small-size New Towns after deregulation in the 1990's, and construction of Phase 2 New Towns for resolution of housing shortage in the early 2000's and the resulting urban problems. In the mid-2000's, construction of Bogeumjari houses in GB areas led to insufficient housing supply in downtown areas, and the period after 2010 witnessed continuous deterioration of existing urban areas and acceleration of the rental housing crisis caused by rental housing shortage in downtown areas. Moreover, the residentially vulnerable classes consisting of young, 1~2-member households is expanding, with the real estate market in recess. Therefore, the government is trying to achieve urban regeneration through public housing policies so as to resolve the urban space problem and the housing problem at the same time, and the Happiness Housing Project has been implemented as a policy to achieve that goal. The Happiness Housing Project for young, residentially vulnerable classes in downtown areas, is going through diversification aimed at conjunction with urban regeneration projects in downtown areas, as exemplified by conversion of rental houses in residential environment improvement project districts and redevelopment/reconstruction project districts into happiness housing, and supply of happiness housing in conjunction with small reorganization projects for deteriorated residential areas in such areas as those excluded from New Town designation. Continuous supply of Happiness Housing in conjunction with urban regeneration requires mixed-use residential development which includes convenience facilities and public facilities, along with improvement of rental conditions (rental period/rent) and diversification of project methods, considering that the project is implemented in downtown areas.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.1
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• pp.1-14
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• 2020

Cities are highly susceptible to disasters due to concentration of population and infrastructure and intensive land use, and there are various factors that affect vulnerability according to regional characteristics. This study analyzed the vulnerability of the heat wave and the surface temperature extracted from Landsat 8 satellite data. Areas with high surface temperature and with high vulnerability did not match. This study overlaid the results of vulnerability analysis and the land surface temperature(LST) in order to identify causes of vulnerability. The results showed that some areas within high-density commercial and semi-residential areas were the most vulnerable, with climate exposure factors, the ratio of the vulnerable populations and residential defective areas being the main causes. Accordingly, alternatives such as green space and residential environmental improvement could be suggested. Various policies for reducing and adapting to heat wave have been established and implemented. However, it is necessary to examine the regional and spatial characteristics of the city, to accurately diagnose the cause of the heat wave, and to prepare appropriate long-term alternatives accordingly.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.4
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• pp.47-58
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• 2016

The purpose of this study was to select the sectoral vulnerable areas index in welfare field and analyze the socially vulnerable areas from comprehensive analysis. For this study, preceding research and theoretical background were reviewed. Through this, we selected for the analysis index and criteria, and data corresponding to the index are collected. Based on the index and criteria, the data analysis was performed in Seoul Metropolitan City selected as the spatial extent of this study. From the results of analysis, the sectoral lower rank 10% of social vulnerable areas was determined. In addition, Junggu, Yongsangu, and Seodaemungu from the comprehensive analysis of individual vulnerable areas were derived as a final vulnerable areas. In particular, Junggu was weak in all sectors; Yongsangu was in the medical sector; and Seodaemungu was poor in housing and education. Lower vulnerability index of all sectors (energy, housing, medical, transportation, and education) in 1st, 2nd, and 3rd residential areas by examining use zoning was showed. From the results of this study, we can expect time and labor saving of policy support in public sector.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.69-79
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• 2023

This study investigated changes in the spatial structure of rural villages in Sayang Village, where accessibility restrictions to island areas were improved, and analyzed the spatial composition of houses according to changes in the living environment. First, despite the island's vulnerable transportation requirements being resolved by the completion of the land and bridge in 2018, the local economy continues to stagnate due to a vicious cycle of local living services and job losses. Second, when a survey of residents' changed living services was conducted through the continuation of the specification map, the scope of living areas was expanded by analyzing the frequency and place of visit of fresh food purchases, use of convenience facilities, and medical visits. Third, it is judged that the naturally formed village is composed of small roads to the inside of the village due to the disorganized street system and the form of walking instead of vehicles. Finally, as a result of analyzing the residential space of houses in fishing villages, the aging rate of houses over 30 years old was 62 (91.2%), and the average area of the first house space built was 65.2m² to 14.1m², an increase of 17.8% of the total area.

• Journal of Environmental Impact Assessment
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• v.22 no.5
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• pp.397-408
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• 2013

The purpose of this study is to analyze water cycle area ratio and spatial evaluation of water cycle in urban area of Changwon-si, Gyeongsangnam-do. Water cycle area ratio are analyzed by using spatial data of land-cover and land-use, and Hot spot analysis of GIS program was used for spatial evaluation of water cycle. The results are as below. Firstly, the high water cycle area ratio areas were forests, parks, and rivers, but urban areas covered asphalt and concrete were low under 40%. Public institutions and co-residential of urban areas were higher than others because of high area ratio of pervious land-cover. Spatial evaluation of water cycle was analyzed to vulnerable areas there are dense residential and commercial area. These areas are really occurring frequently flooding and immersion, therefore, is required water management facilities and improvement of land-cover from impervious to pervious. In the future, it will require additionally analysis of water cycle area ratio supplemented data of water management facility and ground water.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.2
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• pp.113-122
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• 2017

Natural disasters caused by climate change are increasing globally. There are few studies on the quantitative analysis methods for predicting damages in the island area due to sea level rise. Therefore, it is necessary to study the damage prediction analysis method using the GIS which can quantitatively analyze. In this paper, we analyze the cause and status of sea level rise, quantify the vulnerability index, establish an integrated terrestrial modeling method of the ocean and land, and establish a method of analyzing the damage area and damage scale due to sea level rise using GIS and the method of making the damage prediction figure was studied. In order to extract the other affected areas to sea level rise are apart of the terrain model is generated by one requires a terrain modeling of target areas are offshore and vertical reference system differences in land, found the need for correction by a tidal observations and geoid model there was. Grading of terrain, coastline erosion rate, coastal slope, sea level rise rate, and even average by vulnerable factors due to sea level rise indicates that quantitative damage prediction is possible due to sea level rise in the island area. In the case of vulnerable areas extracted by GIS, residential areas and living areas are concentrated on the coastal area due to the nature of the book area, and field survey shows that coastal changes and erosion are caused by sea level rise or tsunami.