• KIEAE Journal
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• v.9 no.6
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• pp.73-80
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• 2009

The purpose of this paper is to suggest rules and regulations about a bike parking facility, With the objective of expanding bike parking facilities for the comfort of bikers. In Korea, the requirements to establish the facility comply with several regulations like laws for the encouragement of bike usages, rules and regulations for the encouragement of bike usages, regulations of Gyeonggi Regional Corporation rules and Korea National Housing Corporation(Korea Land and Housing Corporation) and requirements for the approval of green buildings. Such rules regulate the number of parking spots depending on the number of nearby houses and the size of a parking facility. Amongst the foreign regulations about the facility is 'obligatory regulations for the establishment of a bike parking facility' in Japan. In the United States, all states apply rules about the bike facility to determine the number of bike parking spots in accordance with the number of car parking spots. Comparing Korean rules regarding the bike parking facility with those of foreign governments will give a good insight into the current situation of Korean regulations. In order to investigate the current usage of bikes, 30 houses in Goyang city, 35 schools, 16 retails shops and 20 medical centers were researched. Thereafter, a correlation test between the size of buildings and the number of bike parking spots was carried out. The result of the test indicates that there is a lack of space for bike parking. It is recommended that the bike parking facility be installed with a convenient access to a building in order to increase the rate of bike usages.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.150-157
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• 2016

In this paper, a control system for E-bike based on IOT was developed, which collects and monitors information of states of E-bike and surrounding environments from several sensors and control devices in E-bike, and informs the possible dangers to rider when riding the E-bike. Developed electronic control system can manage battery efficiently, obtain battery's remaining power in real-time and provide possible riding distance to rider. It makes possible for rider to schedule near optimal riding route in terms of battery usage and respond quickly to battery discharge. Results of applying developed system to E-bike show that according to driving-mode, possible driving distance can be calculated efficiently and using user application App, real-time driver position marking and driving route searching functions lead to energy efficient E-bike driving. Later we will endeavor to integrate BMS, ECU, smart-phone and PC(server) to provide stable driving system based on various driving information of E-bike.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.414-427
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• 2019

The sharing economy has significantly changed the way of living for years. The emergence and expansion of sharing economy empowered by the mobile information technologies and intellectual algorithms reconfigure how people use transportation means. In this paper, the bike sharing phenomenon is highlighted. Combining a big data set provided by the Seoul government about user logs and air quality data set, the empirical findings reveal that temperature change is tightly associated bike sharing activities. Also, the concentration of particulate matter is weakly related to bike sharing, but the trend should be carefully examined. By considering external environmental factors to bike sharing businesses, this work is differentiated. To further understand empirical data, data mining methods and econometric approaches were adopted.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.93-102
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• 2011

The Korean government recently has focused on variety of policies to promote the use of bikes to control the emission of carbon. However, bike facilities with no regard to the safety and comfort of bike drivers has made inefficient bike roads. Also, the accidents related to bikes have increased rapidly. This study proposes the proper types of the bike roads considering land use and bike driver characteristics. The elements classifying the bike driver characteristics are driven through oneway ANOVA and cluster analysis. It is found that the types of the bike roads can be classified by the ratio of child and elderly bikers and the ratio of heavy trucks. Also, the each type is characterized by the land use types such ad residential, commercial and industrial areas through cluster analysis. According to the results of the cluster analysis, installation of bike roads in residential area needs to consider convenience and safety simultaneously. It is also found that convenience should be the most considerable factor in commercial area. Lastly, safety should be considered in industrial area. Recommended methodology and bike road type based on the land use and bike driver's characteristics can be useful to develop bike-friendly environments and increase mode share of bikes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.5
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• pp.77-89
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• 2008

The bikes are conflicted with the cars and the pedestrian at the intersection and the road with the bike crossing. To establish the bike signal at this section is one method to solve this conflict. According to the survey for the bike road status and the biker's characters which are crossing the road at the intersection, the bike crossing are established with beside the pedestrian crossing and most of the bikers are crossing the street by the pedestrian signal. Also, the bike queue which is waiting the signal change at the stop line was cleared before the closing the pedestrian signal. Considering the result of this survey, TOUCAN crossing signal type in England for bike signal at the place where the bike crossing are established with beside the pedestrian crossing, in which bike rider and pedestrian can cross by the pedestrian signal operation, is suggested. However, at the place where the bike crossing is apart from the pedestrian crossing, the bike signal which is connected to the vehicle signal is suggested. All these types of bike signals can be accepted for the present bike crossing equipments and the biker's characters and be adapted to the police standard traffic signal controller by adjusting the signal time only without any function change.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.481-489
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• 2017

The study area,Cheonan Stream, is an urban river that flows through urban areas in close proximity to densely populated areas and multi-use facilities. The natural river improvement project from 2006 to 2015 improved the quality of life of local residents with the improvement of river function, the restoration of the natural ecosystem and the securement of hydrophilic space. A bike way in the constructed waterside space was built focusing on trails. This study suggests improvements appropriate for insufficient bike way function-related regulations. The problems of ramps, river crossing facilities, stairway facilities, safety facilities, signs, road markings, and parking facilities, etc.have arisen in the utilization situation and citizen consciousness survey. As an improvement, it was suggested that 12% or fewer ramps should be improved, a submerged bridge should be installed at 7 places separated by stepping bridges, and signs and road markings according to bike way-related regulations should be installed and bike parking facilities at Cheonan station and Cheonan bus terminal should be expanded. The bike way in the waterfront of ChoenanCheon(river) will increase the accessibility and utilization rate of short-distance transportation with the institutional expansion of bike use facilities and work organizations and the improvement of facilities in accordance with urban rivers and bike-related regulations. Therefore, it is expected that the development of the living space will be beneficial for the citizens due to the elimination of traffic in the city and the activation of bike traffic.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.259-270
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• 2021

Recently, interests in the use of Sharing Bike is increasing in consideration of eco-friendly transportation and safety from viruses. As the technology for collecting and storing data is improved with the development of ICTs, research on mobility using the Sharing Bike Data is also actively progressing. Therefore, this paper analyzes the properties of Sharing Bike Data and cases of researches on it through literature review, and based on the results of the review, data of Eoulling, the Sharing Bike System of Sejong City is analyzed as a way to utilize Sharing Bike Data. Most of the selected literature used structured data, and analyzed it through statistical methods or data mining. Through data analysis, it identified the current status, found out problems of the Sharing Bike System, proposed a solution to solve them, developed plans to activate the use of Sharing Bike. This provides basic data for efficient management and operation plans for Sharing Bike System. Ultimately, it will be possible to explore ways to improve mobility in urban spaces by utilizing Sharing Bike Data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4D
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• pp.489-496
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• 2011

Bike system is one of the green transportation systems and spotlighted recently. In the TOD (Transit-Oriented Development) based transportation and urban planning, bike system will be the major part as linkage modes. In this paper, bike demand estimation model was firstly established in Korea, with considering of personal and household characteristics of traveller, social and economic characteristics of city, weather conditions, and so on. The model reflects population density, the number of students except elementary school students, the number of vehicles, the length of bike roads, and monthly income. The adjusted $R^2$ was 0.738: the model is highly fitted. The results of this paper yield bike demand estimation in the urban planning area: further estimated results will be using to determine economic feasibility and size of bike facility. In other words, this paper is expected to provide the theoretical basis that supporting justification and investment efficiency of bike plans, which are actively progressed recently.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.145-155
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• 2010

As the green transportation mode, revitalization of bike usage attracts remarkable public attention. For the acquirement of effective outcome, however, the concrete and close analysis about bike utilization characteristics should be arranged first. One result by MLTM(2009) is support this opinion; the bike mode share has been decreased whereas 9,170km of the bicycle path was improved(1995~2007). This study analyzed the bike mode share classified by trip types by using the 303,308 data of Household Travel Survey of Seoul Metropolitan Area, 2006. The highest mode share rate was induced by the institute attendee and Officetel resident as 3.75% and 3.13%, respectively. Also this study established the bike mode share estimation model of Seoul by logistic regression, and analyzed related factors and level of effectiveness related bike demand by calculation of odds ratio in terms of logistic regression coefficients. In conclusion, short trips, institutes district, parks, and Officetel residential area oriented policy should be effective on the revitalization of bike usage.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.107-120
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• 2023

The public bicycle of Seoul, Ttareungyi, was launched at October 2015 to reduce traffic and carbon emissions in downtown Seoul and now, 2023 Oct, the cumulative number of user is upto 4 million and the number of bike is about 43,000 with about 2700 stations. However, super growth of Ttareungyi has caused the several problems, especially demand/supply mismatch, and thus the Seoul citizen has been complained about out of stock. In this point, this study conducted a real time demand forecasting model to prevent stock out bike at stations. To develop the model, the research team gathered the rental·return transaction data of 20,000 bikes in whole 1600 stations for 2019 year and then analyzed bike usage, user behavior, bike stations, and so on. The forecasting model using machine learning is developed to predict the amount of rental/return on each bike station every hour through daily learning with the recent 90 days data with the weather information. The model is validated with MAE and RMSE of bike stations, and tested as a prototype service on the Seoul Bike Management System(Mobile App) for the relocation team of Seoul City.