• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.945-950
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• 2006

In implementing transportation projects, benefits have been estimated using conventional benefit components. However, these components have a lot of assumptions and limitations for benefit estimations and thus it seems to be difficult to obtain values of parameters as well as to overlook benefits of non-market goods in calculation process. In other words, current benefit estimations are considered that can be solely measured by directly depending on traffic volumes. Existing economic analysis do not reflect the full benefits, including direct and indirect of the project implementations. To illustrate this fact, bicycle road construction can result in various functional benefits, including improved quality of life, balanced regional development, and good scenery composition. These benefits can not be explained with conventional economic analysis. The objective of this research is to estimate valuation of bicycle road construction using Contingent Valuation Method (CVM). CVM can evaluate user's direct willingness-to-pay as well as maximize bicycle utilization with balanced regional development. This research used the coastline bicycle road construction project for example. The proposed method can be well calculated or estimated benefits for non-market goods of bicycle road constructions using CVM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4877-4883
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• 2012

As a basic research for revitalization of cycling that is emerging as a means of green transportation, this study aims to analyze the impact of neighbourhood environmental factor perceived by the local residents on cycling satisfaction as the concern for energy and environmental issues is increasing. For this, a survey was conducted through a questionnaire to the residents in Sangju-si and the impact of the perceived neighbourhood environmental factor to cycling satisfaction with ordered logit model was analyzed. The result showed that the factors such as quality of bicycle lane, quality of bicycle conveniences, accessibility of major conveniences, safety of cycling and amenity of street made a significant impact on cycling satisfaction. Based on such result, this study suggested the considerations to be made in designing a cycling environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1148-1153
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• 2016

The number of cyclists is on the steady growing for leisure and transportation with the increasing interest in health and environment. However, the number of cycling accidents is also increasing steadily due to the lack of safety awareness and regulations. Focusing on this issue, we propose and develop a smart LED bicycle helmet in order to reduce a risk of cycling accident. The main idea is to change status of the LED on the helmet based on the bicycle's movement and provide motion information of the bicycle for others. To control the LED lights on the helmet, we use the Arduino board which communicates with the LED module through serial connection. We decide motion information by using the values from acceleration and GPS sensors of the smartphone. To receive this information from the smartphone, the control board and the smartphone are connected by Bluetooth.

• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.73-86
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• 2018

The increase in the number of private automobiles has incurred various traffic problems. Globally, studies on MaaS(Mobility as a Service) has already been initiated to mobilize the use of public transportation in reducing private passenger cars in roads. This study aims to analyze the passenger's optimal route considering the transfer between different transportation modes through simulation, and analyze the effect of available route through the connected transportation modes. Sejong Special Self-Governing City was chosen as the study area due to its extensive transportation network. As a result of the analysis, the predominant obtainable route is derived either from using public transportation (i.e. bus and subway) only or by bicycle. However, it is also possible to use the car sharing and public bicycle to reach their final destination efficiently when paths that can be traversed were more scrutinized. When various transportation information and location-based services are introduced in smart phone applications, they can provide very useful information to passengers, and also promote social problems such as traffic congestion and environmental issues in the future.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.7-17
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• 2010

Bicycle is one of the most important eco-friendly transport mode which can cope with global warming. ICTs(information and communication technologies) on bicycles became a dominant factor for success to the spread of bicycles to public as we experienced Public Bike System. In this paper, conceptualization and classification of u-Bike services are fulfilled and its priority was examined using AHP method. Group capabilities technique of ECII, a computer fool of AHP was invited to minimize bias on appraisal. 12 u-Bike services were conceptualized. U-service with highest adoptability was 'bike and ride' service which can link bicycle to public transportation. 'Prevention system from abandonment and theft' and 'public bike system' similar to Velib system in Paris are also considered to be very important services in u-City.

• Proceedings of the KIEE Conference
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• 2009.04b
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• pp.195-197
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• 2009

The role of environment-friendly and energy-efficient rail transportation is on the rise as a "sustainable transportation means" to cope with environmental changes that are major concerns around the world. Along with the environmental problems, the CO2 inhibition issue became critical for mankind to prepare global warming and high oil prices. It has come to a point where an alternate means are needed to revitalize plans including renewable energy, bicycle utilization, and prepare new solutions for decreasing number of cars within the city The personal rapid Transit(PRT) is the revolutionary future transportation means that can replace cars to deal with ever-increasing traffic congestions, vehicles, and environmental/energy problems. Expected as an efficient means, technology development has already taken place in developed countries such as U.S., England, and Germany. To meet the future demands, PRT installation around the nation's new and existing towns is being examined to produce important factors. The factors are produced for examining the availability of system requirements during design and construction practice.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.75-91
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• 2022

With the recent increase in interest in climate change issues, the use of bicycles is complementing public transportation and attracting attention as one of the eco-friendly means of transportation. Daejeon Metropolitan City has been operating Tashu, a public bicycle, since 2008. This study empirically analyzed the spatial characteristics that affect the use of public bicycles by grasping the current status and characteristics of public bicycles and applying spatial econometrics analysis, an analysis model that considers the spatial dependence of spatial data. In addition, a comparative analysis was performed by deriving the results of analyzing six models in terms of rental, return, peak time, non-peak time, weekday, and weekend based on the spatial error model identified as the optimal spatial econometrics model. The analysis model results showed that significant spatial characteristics differed according to the type of public bicycle use. In general, the use of public bicycles was high in areas with a high proportion of young people, a high number of public transportation users, good access to universities and rivers, and relatively low land use mix, and high proportion of apartments. These results indicated that public bicycles are used for commuting purposes on weekdays and leisure purposes on weekends, and if the convenience of using bicycles is improved, the use of public bicycles can be further increased.

• 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 Korea Safety Management & Science
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• v.20 no.4
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• pp.1-6
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• 2018

Recently, bicycle has means of effective healthy transportation, and riding the bicycles is considered as popular recreational and sporting activities. Also, the saddle, steering system, driving device and braking device are researched briskly because of consumer's need for driving performance and comfort. Especially, the importance of a cassette responsible for transmission function by transmitting power to the drive shaft through the chain is very focused. The writer conducted structural analysis for the sprocket of each level using the ANSYS widely used for the analysis. Speed shifting performance was enhanced by minimization / simplification of shifting point through a sort of tooth profile of the cassette. By partitioning a clear value type and other shifting point, it has been modified to enable smooth speed-shifting. In addition, as titanium precision forming process, this study studied the molding technique by blanking and dies forging for mass production of the cassette. so it could be expected that the entire drive train would utilize that in the future. The stamping process capability for thin materials for the mass production of the sprockets is applicable to producing automobile parts, so lightweight component production is likely to be possible through that, for the safety of driving.