• Journal of Families and Better Life
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• v.11 no.1
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• pp.176-190
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• 1993

This study intended to analyze the size and composition of social network and to identify their related variables in urban nuclear families. Data were collected through the questionnaires by wives living in Seoul area. The methods of statistical analysis used in the study were the frequency mean percentile and one-way ANOVA. The findings were as follows; 1) The size of social network in urban nuclear families was 10.0 in average and 2-33 in range. 2) The composition of social network were 45.5% in relatives 20.6% in neighbors. 21.8% in friends. 4,7% in coworkers, 4.1% religious group members 2.1% in associational members. and 1.4% in formal supporters. 3) The birth order of husbands was related to the size of social network. The composition of social network was influenced by SES family life cycle husband's birth order housing type residence duration age education employment religion and familism.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4483-4501
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• 2020

Recent findings identified the scatter and shape of MFD (macroscopic fundamental diagram) is heavily influenced by the spatial distribution of link density in a road network. This implies that the concept of MFD can be utilized to divide a heterogeneous road network with different degrees of congestion into multiple homogeneous subnetworks. Considering the actual traffic data is usually incomplete and inaccurate while most traffic partition algorithms rely on the completeness of the data, we proposed a three-step partitioned algorithm called Iso-MB (Isoperimetric algorithm - Merging - Boundary adjustment) permitting of incompletely input data in this paper. The proposed algorithm was implemented and verified in a simulated urban transportation network. The existence of well-defined MFD in each subnetwork was revealed and discussed and the selection of stop parameter in the isoperimetric algorithm was explained and dissected. The effectiveness of the approach to the missing input data was also demonstrated and elaborated.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.4
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• pp.1-8
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• 2022

This study aims to investigate the gap in accessibility to urban planning facilities between living spheres in local small and medium-sized cities. In this study, OD data between administrative dongs of public transportation users was constructed to analyze the living shpere, and community analysis was conducted based on cohesion between data. As a result of the analysis, it was confirmed that a total of 10 clusters (mid-living areas) were formed, and the topographical difference between the 11 middle living areas established in the existing Jinju City Basic Plan and the single living areas were actively exchanged to form a community with other administrative dongs. Next, the analysis of the service area of urban planning facilities for mid-living areas was conducted based on the road network. As a result of analyzing the area accessible within 5, 10, and 15 minutes, educational facilities, public facilities, cultural facilities, tourism, and green facilities could be reached within 15 minutes in most mid-living areas. On the other hand, there were many areas where access to transportation facilities, medical facilities, and cultural facilities was difficult within 15 minutes. In particular, the accessibility of the outer living area and the central living area were different. To improve the quality of life of citizens, using urban planning facilities in Jinju-si and establishing related plans in urban basic plans, it is necessary to conduct a study on service areas through network analysis.

• ETRI Journal
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• v.5 no.2
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• pp.17-28
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• 1983

This paper deals with the problem of optimally controlling traffic flows in urban transportation traffic networks. For this, a nonlinear discrete-time model of urban traffic network is first suggested in order to handle the phenomenon of traffic flows such as oversaturatedness and/or undersaturatedness. Then an optimal control problem is formulated and a hierarchical optimization technique is applied, which is based upon a prediction-type two-level method of Hirvonen and Hakkala.

• The Journal of Bigdata
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• v.2 no.2
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• pp.1-7
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• 2017

Intelligent transportation system (ITS) has been introduced to maximize the efficiency of operation and utilization of the urban traffic facilities and promote the safety and convenience of the users. With the expansion of ITS, various traffic big data such as road traffic situation, traffic volume, public transportation operation status, management situation, and public traffic use status have been increased exponentially. In this paper, we derive structural characteristics of urban traffic according to the vehicle flow by using big data network analysis. DSRC (Dedicated Short Range Communications) data is used to construct the traffic network. The results can help to understand the complex urban traffic characteristics more easily and provide basic research data for urban transportation plan such as road congestion resolution plan, road expansion plan, and bus line/interval plan in a city.

• KIEAE Journal
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• v.16 no.6
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• pp.69-75
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• 2016

Climate change has resulted in the urban heat island (UHI) effect throughout the globe, contributing to heat-related illness and fatalities. In order to reduce such damage, it is necessary to improve the climate observation network for precise observation of the urban thermal environment and quick UHI forecasting system. Purpose: This study analyzed the effective range of the climate observation network and the distribution of the existing Automatic Weather Stations (AWS) in Seoul to propose optimal locations for additional installment of AWS. Method: First, we performed quality analysis to pinpoint missing values and outliers within the high-density temperature data measured. With the result from the analysis, a spatial autocorrelation structure in the temperature data was tested to draw the effective range and correlation distance for each major time period. Result: As a result, it turned out that the optimal effective range for the climate observation network in Seoul in July was a radius of 2.8 kilometers. Based on this result, population density, and temperature data, we selected the locations for additional installment of AWS. This study is expected to be used to generate urban temperature maps, select and move measurement locations since it is able to suggest valid, specific spatial ranges when the data measured in point is converted into surface data.

• Journal of People, Plants, and Environment
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• v.24 no.5
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• pp.451-460
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• 2021

Background and objective: The prolonged COVID-19 pandemic has had significant impacts on mental health, which has emerged as a major public health issue around the world. This study aimed to analyze trends and network structure of 'grow-your-own (GYO)' through Instagram, one of the most influential social media platforms, to encourage and sustain home gardening activities for promotion of emotional support and physical health. Methods: A total of 6,388 posts including keyword hashtags '#gyo' and '#growyourown' on Instagram from June 13, 2020 to April 13, 2021 were collected. Word embedding was performed using Word2Vec library, and 7 clusters were identified with K-means clustering: GYO, garden and gardening, allotment, kitchen garden, sustainability, urban gardening, etc. Moreover, we conducted social network analysis to determine the centrality of related words and visualized the results using Gephi 0.9.2. Results: The analysis showed that various combinations of words, such as #growourrownfood, #growourrownveggies, and #growwhatyoueat revealed preference and interest of users in GYO, and appeared to encourage their activities on Instagram. In particular, #gardeningtips, #greenfingers, #goodlife, #gardeninglife, #gardensofinstagram were found to express positive emotions and pride as a gardener by sharing their daily gardening lives. Users were participating in urban gardening through #allotment, #raisedbeds, #kitchengarden and we could identify trends toward self-sufficiency and sustainable living. Conclusion: Based on these findings, it is expected that the trend data of GYO, which is a form of urban gardening, can be used as the basic data to establish urban gardening plans considering each characteristic, such as the emotions and identity of participants as well as their dispositions.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.5
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• pp.19-28
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• 2014

Given the structure of Korean mountains, it is more appropriate to apply the relative elevation method than the absolute elevation method. However, so far there were not suitable quantitative methodologies to analyze relative elevation, these analytical concepts were difficult to be utilized in urban environmental planning. This study suggested three methods for analyzing relative elevation, and one method for setting the analytical scope of relative elevation by calculating terrain relief. The results showed that the procedure considering 500m radius of each point and standardizing to 30% of the 7th height ridge was the most effective method to extract the local topography. This methodology is the quantitative tool to be able to conserve local important hills and ridges, and apply to fields of urban environmental planning and ecological restoration, especially urban ecological network.

• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.366-368
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• 2001

ProfiBus provides real-time data communication among field devices in the EMU(Electrical Multiple Unit) and TCMS(Train Control Monitoring System). This paper presents an adapt to Train Communication Network for EMU using ProfiBus DP(Decentralized Periphery) method, which is the layer 2 DDLM (Direct Data Link Mapper) protocol of ProfiBus.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.1
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• pp.93-104
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• 2020

The purpose of this research is to clarify the relationship between the location of markets and the spatial structure of historic center in Beijing of 18th century by network analysis method onto the historic map of Beijing 'Qianlong-Jincheng-Quantu(乾隆京城全圖)' produced in 1750. By categorizing the grade of each market, it is revealed that the location of markets in Beijing under Qing Dynasty was not only decided by the various factors as policy of the regime and traditional social usages but also by the spatial structure of urban space in historic part of the city. At the same time, the sociopolitical factors and the spatial structure of urban space might influence reciprocally in defining the physical state of urban space.