• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.819-829
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• 2019

In the disaster of collapse, an immediate response is needed to prevent the damage from worsening, and damage area calculation, response and recovery plan should be established. This requires accurate detection of the damage affected area. This study performed the detection of the damaged area by using UAV which can respond quickly and in real-time to detect the collapse accident. The study area was selected as B-05 housing redevelopment area in Jung-gu, Ulsan, where the demolition of houses and apartments in progress as the redevelopment project began. This area resembles a collapsed state of the building, which clear changes before and after the demolition. UAV images were acquired on May 17 and July 9, 2019, respectively. The changing area was considered as the damaged area before and after the collapse of the building, and the changing area was detected using CVA (Change Vector Analysis) the Representative Change Detection Technique, and SLIC (Simple Linear Iterative Clustering) based superpixel algorithm. In order to accurately perform the detection of the damaged area, the uninterested area (vegetation) was firstly removed using ExG (Excess Green), Among the objects that were detected by change, objects that had been falsely detected by area were finally removed by calculating the minimum area. As a result, the accuracy of the detection of damaged areas was 95.39%. In the future, it is expected to be used for various data such as response and recovery measures for collapse accidents and damage calculation.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.351-365
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• 2019

This study aims to predict the changes in population distribution in Korea by considering spatio-temporal characteristics of major migration reasons. For the purpose, we analyze the spatio-temporal characteristics of each major migration reason(such as job, family, housing, and education) and estimate the transition probability, respectively. By appling Markov chain model processes with the ChapmanKolmogorov equation based on the transition probability, we predict the changes in the population distribution for the next six years. As the results, we found that there were differences of population changes by regions, while there were geographic movements into metropolitan areas and cities in general. The methodologies and the results presented in this study can be utilized for the provision of customized planning policies. In the long run, it can be used as a basis for planning and enforcing regionally tailored policies that strengthen inflow factors and improve outflow factors based on the trends of population inflow and outflow by region by movement factors as well as identify the patterns of population inflow and outflow in each region and predict future population volatility.

• Journal of Family Resource Management and Policy Review
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• v.25 no.1
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• pp.35-45
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• 2021

Focusing on increasing of single-person households this study aims to develop a scale to measure the healthiness of lifestyle among single-person households. The concept of healthiness of lifestyle is based on the theories of family strength and family ecology. We draw 50 items that encompass basic needs, individual, familial, and social aspects of single-person life. Using a sample of 317 persons who live alone, this study examined a factor structure of the items and selected 44 items based on the results of factor analysis. Reliability and criterion- and construct validity were also examined. The final scale consists of four domains; basic needs (finance, housing, consumption, and future plan), work·life balance (time management, health, and stress), family relations, and social participation (social network, social interests, and community participation). This scale can be used as an assessment measure of the healthiness of lifestyle of single persons who participate in programs in Healthy and Multicultural Families Support Centers.

• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.3-14
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• 2021

In the Chinese construction industry, the utilization of Building Information Modeling (BIM) aims to increase the total output of the construction industry by solving the problem of inefficient interoperability in the construction industry. In 2011, the Chinese Ministry of Housing and Urban-Rural Development despite the technical advantages of BIM and the government policy, the BIM adoption rate in China is lower than 45%. Meanwhile, as the South Korean construction industry is a step ahead of its Chinese counterpart in introducing and utilizing BIM, it is expected that BIM is more actively utilized and accepted in South Korea than in China. According to a comparative study based on the hype-cycle theory, South Korea is at a more advanced stage of introducing BIM, than in China. This study aimed to suggest how to increase BIM utilization rates in China. To this end, this study comparatively analyzed factors affecting BIM acceptance between China and South Korea. For the comparative analysis of the BIM acceptance factors between China and South Korea, literature reviews on the technology acceptance model (TAM) and BIM acceptance model were carried out, and based on that, the BIM acceptance factors were classified. Other BIM acceptance factors were also added and considered, as they reflected Chinese national characteristics and construction industry. As for the derived BIM acceptance factors, construction project participants, especially actual BIM users in China and South Korea, were targeted for the survey. A t-test using SPSS 22.00 was carried out to identify significant differences in data. Finally, based on the t-test results, this study suggested ways of improving the BIM utilization rate in China. Based on the findings, this study is expected to contribute to activating BIM adoption in the Chinese construction industry and also to set a theoretical foundation for future studies on BIM utilization in the industry.

• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.55-63
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• 2021

Recently, as the problem of the traditional on-site labor-intensive construction production method has been raised due to changes in construction work labor and site conditions, the OSC method is gradually spreading as an alternative to this. Even in apartment houses, the application of the PC method is expanding centered on the underground parking lot, but the high cost structure is a problem compared to the conventional formwork method. In this study, factors affecting the calculation of construction cost in the economic evaluation, which are the core of determining the construction method for apartment buildings, are derived through domestic and foreign literature review and expert advice, the importance was analyzed through an opinion survey targeting industry experts. The measures to reduce construction cost were mainly derived from the improvement of the design and manufacturing process. It is expected that the factors affecting the construction cost and improvement measures of the PC method derived from this study will serve as a direction for technology development to spread the application of the PC method for apartment houses in the future.

• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.107-119
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• 2021

Recently, interest in remodeling apartment houses has been increasing due to problems such as a lack of parking spaces for old apartment houses. However, no method was suggested to predict the construction period of the apartment remodeling project. Unlike general apartment new construction, apartment remodeling construction involves demolition or reinforcement work, so a realistic remodeling construction period calculation plan differentiated from the existing construction period should be proposed. Therefore, this study intends to present a model for deriving the construction period of the underground parking lot of the apartment remodeling construction. Each construction period was calculated based on 19 activities of underground parking lot remodeling work through review of previous studies and expert advice. Activity's workload data and productivity data were derived to calculate the construction period, and the number of inputs and equipment inputs by Activity were determined to correct the productivity data. The construction period of Activity was calculated using the derived data, and the criteria for calculating the overlapping period for each Activity were presented to enable realistic construction period and scheduled schedule. As a result of predicting the accuracy of the construction period through the verification of the case complex, it is expected that it will be possible to predict the approximate construction period of the underground parking lot of the apartment remodeling construction in the future.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.580-594
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• 2021

The purpose of this paper is to investigate the impact on self-reliance and satisfaction of participants participating in the self-sufficiency business program of the Ulsan Metropolitan Regional Self-Sufficiency Center. A self-filled questionnaire was surveyed on self-sufficiency participants in five Borough and Country in Ulsan for 4 weeks from September 1 to 30, 2020, and final 233 copies were used in the actual analysis. As a result of the study, first, the percentage of positive responses of the participants was found to be good at 71.7%, for questions on the degree of support to the government, local governments, and administrative welfare centers. Second, in response to a system or service that would like to be supported or needed in the future, support for living expenses and support for health and medical expenses appeared and as a result of gender difference analysis, it was confirmed that there was a significant difference between support for children's education expenses and support for housing funds. Among the factors of the participant's psychological self-reliance(self-control, confidence, and willingness to work), the factor of self-control was the most significant factor, followed by confidence and willingness to work. Overall satisfaction with work was the highest among 9 satisfaction items such as salary and working hours.

• 한국사회정책
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• v.25 no.1
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• pp.125-159
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• 2018

The purpose of this study is to analyze the factors affecting service use intention of long-term care among the disabled. This study conducts a longitudinal study using the modified Andersen model by the disabled age groups of the 50-64 group and the 65 over group. This study examined random effects panel logit analysis for the 50-64 group and the 65 over group by age variations. The results have shown that there are different factors Influencing factors for each specific age group of the disabled(50-64, 65 over). The results were as follows: there are differences of factors between the 50-64 group and the 65 over group. This study found that predisposing factors of the service use intention of long-term care were significantly related to age, residential area, education status, existence of spouses. Enabling factors of the service use intention of long-term care were significantly related to long-term care service recognition, saving, personal salary income level, housing status. Need factors of the service use intention of long-term care were significantly related to chronic diseases, psychological health, IADL. So, there are a need for a policy considerations such as service for the mid-old age disabled by age groups. Finally, implications and future research directions were discussed based on the finding of the study.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.2
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• pp.133-151
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• 2019

This study aims to analyze cold air characteristics in the watershed areas and to suggest strategies for utilizing them in urban ventilation corridor plans. For this purpose, the Jungnangcheon watershed and Uijeongbu-si in the northern part of Gyeonggi province, and Anyangcheon watershed as well as Yangjaecheon Tancheon watershed and Gwacheon-si in the southern part were selected as study areas. We used KALM (Kaltluftabflussmodell), a cold air simulation model developed in Germany and identified both the cold air flow and the height of cold air layer generated during 6 hours at night. Uijeongbu City is located on the main stream of the Jungnangcheon watershed, and the local cold air from the southern outskirts is an important part of Uijeongbu-si's overall ventilation corridor planning. In addition, the cold air generated in the vicinity of Mt. Sapae flows into the central business district near the city hall and plays a major role in regulating the thermal environment of the city. But, the cold air flows in the eastern part of Uijeongbu-si was not smoothly. The cold air flow generated in the east of Gwanak Mountain and in the west of Cheonggye Mountain was the most active in the northern part of Gwacheon-si. This flow is also a major ventilation corridor in Anyangcheon watershed as well as Yangjaecheon Tancheon watershed. But, the southern part where the cold air flow is not smooth is planed to be developed as 'Gwacheon Knowledge Information Town Public Housing District', so rapid development is expected in the future. Hence, it is suggested that an additional ventilation corridor plan should be established based on the detailed local wind flow analysis.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.119-128
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• 2019

This study aims to analyze the research trends on Smart City and to present implications to policy maker, industry professional, and researcher. Cities around globe have undergone the rapid progress in urbanization and the consequent dramatic increase in urban dwellings over the past few decades, and faced many urban problems in such areas as transportation, environment and housing. Cities around the globe are in a hurry to introduce Smart City to pursue a common goal of solving these urban problems and improving the quality of their lives. However, various conceptual approaches to smart city are causing uncertainty in setting policy goals and establishing direction for implementation. The study collected 11,527 papers titled "Smart City(cities)" from the Scopus DB and Springer DB, and then analyze research status, topic, trends based on abstracts and publication date(year) information using the LDA based Topic Modeling approaches. Research topics are classified into three categories(Services, Technologies, and User Perspective) and eight regarding topics. Out of eight topics, citizen-driven innovation is the most frequently referred. Additional topic network analysis reveals that data and privacy/security are the most prevailing topics affecting others. This study is expected to helps understand the trends of Smart City researches and predict the future researches.