• Journal of Korean Society of Transportation
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• v.31 no.5
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• pp.79-88
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• 2013

Recently, due to THE MOBILITY ENHANCEMENT FOR THE MOBILITY IMPAIRED ACT, local governments have tired to make various efforts on special transport services(STS), low-flow bus, and installing elevator in subway stations for handicapped people. But in case of STS, insufficient numbers of taxi are raised against the increasing demand of hadicapped people due to the limited budget. This study investigated actual use condition of STS and characteristics of selection of handicapped people on Duribal. In addition, an ordered-logistic model was employed for developing taxi use prediction model considering taxi fare discounts for diverting Duribal demands to taxies. The results can be a significant basic data for transportation policies to improve travel efficiency of the handicapped.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.581-594
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• 2021

Purpose: The purpose of this study is to compare machine learning models for anomaly detection of mechanical facility equipment and suggest an anomaly detection system for mechanical facility equipment in subway stations. It helps to predict failures and plan the maintenance of facility. Ultimately it aims to improve the quality of facility equipment. Methods: The data collected from Daejeon Metropolitan Rapid Transit Corporation was used in this experiment. The experiment was performed using Python, Scikit-learn, tensorflow 2.0 for preprocessing and machine learning. Also it was conducted in two failure states of the equipment. We compared and analyzed five unsupervised machine learning models focused on model Long Short-Term Memory Variational Autoencoder(LSTM-VAE). Results: In both experiments, change in vibration and current data was observed when there is a defect. When the rotating body failure was happened, the magnitude of vibration has increased but current has decreased. In situation of axis alignment failure, both of vibration and current have increased. In addition, model LSTM-VAE showed superior accuracy than the other four base-line models. Conclusion: According to the results, model LSTM-VAE showed outstanding performance with more than 97% of accuracy in the experiments. Thus, the quality of mechanical facility equipment will be improved if the proposed anomaly detection system is established with this model used.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.241-255
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• 2021

The purpose of this study was to verify the effects of the online lifelong education program which is a key words card production and demonstration on the job preparation skills for work for part-time developmental disabilities. The subjects of this study were three developmental disabilities workers working in a restaurant business on a part-time basis, and the experimental environment was composed of the home and subway stations where they reside. The study method used a single subject study, and the baseline, intervention, and maintenance were reflected as the design conditions of the experiment. As a result, the subjects of the study effectively acquired and maintained the job preparation skills for work work through the online lifelong education program for the production and demonstration of key words cards. Through the results of this study, it was possible to discuss and conclude that the significant functional relationship between the independent variables and the dependent variables is valid.

• Korean Journal of Social Welfare Studies
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• v.47 no.3
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• pp.61-84
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• 2016

Competing theories predict that others' contributions might be either substitutes or complements to one's own. Based on such competing theoretical discussions, this study attempted to examine the relationship between information about other citizens' giving behavior and citizens' giving. To achieve study objective, this study utilized a natural field experiment that investigates citizens' voluntary contributions to three types of kettle (transparent kettle with no money, transparent kettle with a large amount of bills and coinage, and red invisible kettle) during Salvation Army Red Kettle Campaign in 2011 and 2012. The experiment took place at subway stations which does not differences in the amount donated in previous years. In this field experiment, this study manipulated information about other citizens' giving behavior available to citizens by altering the different red kettle donation boxes. This study found that there are no positive or negative information effect on individual citizens' contributions. The results did not show either crowding-out effect or crowing-in effect. Thus, this study showed that social information has statistically non-significant impact on the propensity to donate and the amount donated.

• Journal of The Korean Society For Urban Railway
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• v.6 no.4
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• pp.373-381
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• 2018

The floating population that is index to figure out dynamic activities in urban area will be important in urban railway planning, but it is not useful because it is collected by posterior method. This study aims to investigate factors influencing floating population. The floating population data that was collected in Seoul for a month in December 2013 is used as dependent variable, and the negative binomial regression analysis is used in modelling. The number of households, number of employees, number of subway stations, and number of bus lines variables are statistically significant in predicting floating population.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.83-95
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• 2021

In this study, various usage patterns were analyzed after establishing a data mart for micro mobility analysis based on the rental history of public bicycles in Seoul. Rental history data is origin-destination data that includes the rental location and time, and the return location and time. About 1500 rental locations were classified according to the characteristics of the location to create a 'station type' dimension. We also created a 'path type' dimension that displays whether the rental location and return location are the same. In addition, a derived variable called speed, which is obtained by dividing the distance used by the time used, is added, and through this, the characteristics of the riding area and the reason for the rental can be estimated. Meanwhile, administrative district link, administrative neighborhood link, and station type link were created to apply network analysis. Through this analysis, the roles and proportions of administrative districts, public facilities, and private facilities engaged in micro-mobility services were visualized. 49.9% of rentals occur at rental offices near transportation facilities, and half of them occur at rental offices near subway stations. The number of rentals during the evening rush hour is more than double that of the morning rush hour. When the path type is unidirectional, there is a fixed destination, so the distance and time used are short, and the movement speed tends to be high. In the case of round-trip, the purpose of use is exercise or leisure, so the distance and time used are long, and the movement speed is slow. It is expected that the results of the analysis can be used as reference materials for selecting new rental locations, providing convenient services for users, and developing user-specialized products.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.589-599
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• 2022

Purpose: The purpose of this study is to quantitatively identify the environmental contribution generated by urban rail users in the metropolitan area. Method: As for the analysis method, the mode choice and assignment of the traffic demand analysis were repeatedly performed on the assumption that each line was not opened for the metropolitan urban railway lines 1 to 9. After that, the environmental contribution according to changes in demand for the road was analyzed. Result: The total amount of carbon dioxide emissions and benefits were found to be the largest for subway line 1. However, when considering the number of stations and length, it was analyzed that the environmental contribution was the greatest in Metro Line 4. Conclusion: Measures to promote the use of public transportation are representative of environmental improvement policies, but there is a limit in that it is difficult for actual users/non-users to feel it. Therefore, it is judged that it is necessary to quantitatively present the effect in order to improve and spread awareness of the environment.

• Land and Housing Review
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• v.14 no.3
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• pp.77-92
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• 2023

The aim of the study is to analyze urban characteristics that affect carbon emissions of buildings. The analysis was conducted at the level of 424 administrative districts in Seoul. The main variables used in the analysis were energy consumption and carbon emissions of buildings published in the Seoul Metropolitan Government's energy information platform 2021. It was found that carbon emissions per unit building were high in Jongno, Gangnam, Guro, and Mok-dong. A regression analysis using the spatial lag model (SLM) identifies that the variables that affect the carbon emissions of buildings were; commercial, educational, business and industrial facility variables as built environment factor; number of residents; traffic volume, number of bus routes and number of subway stations as transportation facilities factors; and environmental factors such as green area and river area.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.2
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• pp.37-46
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• 2024

The city is developing into a smart city. Smart villages and smart farms are developing in rural areas. Architectural technology needs synergy with smart cities, smart villages, and smart factories (intelligent factories) to help architectural experts understand smart farms and build facilities and equipment. Smart farms require design and construction technology with architectural structure and function. The purpose of this study was to investigate the current status and cases of smart farms in Korea and to investigate cases abroad. The conclusion is as follows. ① Smart farms are developing rapidly. The Korean government is expanding smart farms by utilizing ICT technology and infrastructure. ② 'Smart Farm Innovation Valley', which has been promoted since 2018, is a cutting-edge convergence cluster industrial complex that integrates production, education, and research functions such as start-ups and technological innovation. ③ In domestic cases, smart farms are operated in subway stations, buildings, supermarkets, and restaurants. ④ In the Japanese case, a dome-type smart farm was being operated. It utilized factory wastewater, waste heat, renewable energy, and used new materials. Otemachi Ranch raised livestock and provided a lounge on the 13th floor of the building. ⑤ In the cases of Korea and Japan, the smart farm technology is very similar. As stated earlier, since the food culture and agricultural technology of both countries are similar, we hope to promote the development of smart farms that can reduce concerns about future food by communicating and sharing mutual technologies.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.6
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• pp.73-80
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• 2008

This research investigated appropriate indoor light sources and light intensities for Hedera rhombea and Saxifraga stolonifera, which are shade-tolerant and cold-resistant indoor plants. Plants were grown in wood flames of 1 m in width${\times}$1 m in length${\times}$1 m in height. Light sources were fluorescent lamp, three wave fluorescent lamp and halogen lamp that are being used in most of the subway stations in Korea, and light intensities were 200 Lux, 700 Lux and 1,000 Lux. Results are as following. 1. Hedera rhombea Hedera rhombea heights did not show differences statistically as responses to light sources and light intensities. It, however, tended to be greater with an order of 1,000 Lux, 700 Lux and 200 Lux and halogen lamp, fluorescent lamp, and three wave fluorescent lamp. Number of branch increased under fluorescent lamp than under halogen lamp or three wave fluorescent lamp, and increased under higher light intensities. Number of leaf was higher with an order of three wave fluorescent lamp 1,000 Lux, fluorescent lamp 1,000 Lux and halogen lamp 1,000 Lux. Leaf shape became wider under low light intensities regardless of light sources. Chlorophyl contents in leaf were not significantly different under three wave fluorescent lamp and halogen lamp. However, the contents increased with an order of 200 Lux, 700 Lux and 1,000 Lux under fluorescent lamp. 2. Saxifraga stolonifera The plants were dead or declined under fluorescent lamp regardless of light intensities. When light intensities went under 200 Lux, Saxifraga stolonifera showed poor growth for all the light sources. Plant height, number of shoot, number of leaf, leaf width and leaf length have increased with an order of halogen lamp 1,000 Lux, three wave fluorescent lamp 1,000 Lux and three wave fluorescent lamp 700 Lux. Chlorophyl content was greater with an order of three wave fluorescent lamp 700 Lux, three wave fluorescent lamp 1,000 Lux and halogen lamp 1,000 Lux.