• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.257-265
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• 2021

In this study, an evaluation index was developed and applied to derive indicators related to the environment for bicycle use and to evaluate the environment for bicycle use in the city of Suwon. Analysis showed that the relative importance between the assessment factors was highest in bicycle safety and that the relative importance among the assessment indicators was highest in terms of priority of items directly affecting bike riding, and items with indirect influence were low in importance. As a result of applying the evaluation model to bike paths in Suwon, it was confirmed that they can be described in a relatively realistic manner. The findings are expected to contribute to the development of local government directives for improving the environment of cycle paths.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.203-213
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• 2005

Recently, with the increase of the interest to global environmental problems, bicycle has been recognized as the most environmentally friendly transportation mode. To promote cycling, it is necessary to ensure road space that bicycle can keep running safely and smoothly. This paper aims to evaluate the district with rearranged road space and network, given priority to bicycle, comparing the traditional district which are given priority to car from viewpoints of environment, safety and accessibility. As evaluation indicators, the carbon dioxide emission on the environment. the number of collision between car and bicycle on safety and an accumulated frequency measure on accessibility were used. As the result, it was clarified that bicycle road measures to create bicycle road by reallocation of road space and form bicycle exclusive network were effective.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.111-120
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• 2012

Because people are gradually interested in bicycles, central and local governments provide many efforts for expanding bikeway plans and utilization. However, most domestic bicycle plans have been established for the urban and leisure. This research is focused on developing the evaluation method to give the priority order for the investment of rural community bicycle roads. For the methodology development, the planning hierarchy and indicator framework are proposed in this paper. In order to decide the weighting value for indicators, a questionnaire survey to transportation experts was conducted. Moreover, the coefficient for social and spatial equity was applied to consider the balance of regional development. The evaluation was applied to a pilot corridor comprised of a 160km section of national highway in korea. This methodology provides a new tool to decide priority order for the investment of bicycle facilities.

• Korean Journal of Environment and Ecology
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• v.28 no.3
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• pp.365-373
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• 2014

This study is to analyze the physical environment and conduct spatial data for bicycle road system in changwon. Index for evaluation index was developed based on literatures. Then the level of importance and weight have been modified through experts review. Finally, index with eight categories such as greenness(40% over), bicycle road connectivity(1.8, 9.8%), road type bike(bicycle lane, 24.4%), pave type(asphalt 72.5%), illegal parking(none, 93.9%), bike road surface visibility(exist, 46.8%), vehicle speed limits(30km, under), vehicle traffic(500/hr under, 44.3%) have been applied to empirical investigation. Collected data has been hierarchically classification by ArcGIS Program. The Highest grades(score 31-35, level 1) occupied 35% of target destination. High level of greenness and load type has contributed to high score. In addition, average level of greenness of those destination was 35% and higher, which provide high degree of security and freshness for bicycle riding. Meanwhile, lowest level(level 5, which earned 15 point or less) occupied 24.5%. illegal parking, low level of greenness, and no surface sign caused low score.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.3
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• pp.28-37
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• 2020

This study developed a deep learning model that predicts rental demand for public bicycles. For this, public bicycle rental data, weather data, and subway usage data were collected. After building an exponential smoothing model, ARIMA model and LSTM-based deep learning model, forecasting errors were compared and evaluated using MSE and MAE evaluation indicators. Based on the analysis results, MSE 348.74 and MAE 14.15 were calculated using the exponential smoothing model. The ARIMA model produced MSE 170.10 and MAE 9.30 values. In addition, MSE 120.22 and MAE 6.76 values were calculated using the deep learning model. Compared to the value of the exponential smoothing model, the MSE of the ARIMA model decreased by 51% and the MAE by 34%. In addition, the MSE of the deep learning model decreased by 66% and the MAE by 52%, which was found to have the least error in the deep learning model. These results show that the prediction error in public bicycle rental demand forecasting can be greatly reduced by applying the deep learning model.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.5-34
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• 2017

This study measured greening level on the 978 public libraries nationwide, making and distributing questionnaires based on green library evaluation indicators developed to measure the greening level of public libraries. As a result of analyzing the averages by evaluation area, among the green library evaluation areas, the whole average of the library resources was the highest by 1.93, and followed by land use and traffic 1.81, indoor environment 1.30, management of water circulation 1.20, etc. The greening evaluation area which shows the best strength in the surveyed public libraries, was the area of the library resource, and it turned out that it use spaces effectively like effective use of the entire area, effectiveness of conservation of books, use and management of eco-friendly products etc., or use the equipments in eco-friendly way which are purchased or used frequently in the libraries, and, as for the land use and traffic area, most of the libraries had bicycle racks, and chose the location of the libraries, considering accessibility to public transportation and a distance between central urban area and libraries. Also, it turns out that, in the area of materials and resources, most of the libraries were equipped with hand dryers and rolling towels and maintained the eco-friendly view.