• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.3
• /
• pp.62-74
• /
• 2020

Although the government and local governments devote efforts to activate bicycles, they only access to the supply infrastructure such as bike lanes and the public bicycle rental service centers without considering the measures to overcome the geographical constraints of slope. Therefore, this study constructs bicyclist's energy consumption estimation model through experimental methods of slope gradient and heart rate measurement and suggest the bicycle route choice model which could minimize the energy by the slope gradient. After calculating the RMSE of the estimated energy consumption by applying this model to the simulation section, it is confirmed to be 41% better than the model which does not reflect slope gradient. The results of this study are expected to be applied to the bicycle infrastructure planning that considers both longitude and transverse of bike lanes and the algorithm of bicycle route guidance system in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.13 no.3
• /
• pp.10-24
• /
• 2014

Bicycle is a useful transportation mode that is healthy, emission-free, and environmentally compatible. Although large efforts have been made to promote the use of bicycling to date, there still exist various hurdles and limitations. One of the key issues to increase bicycling is how to gather bicycle-related data from the field and to generate valuable information for both users and operations agencies. This study proposes a method to process bicycle trajectory data which is obtained from tracing global positioning systems(GPS) equipped bicycle, which is defined as the probe bicycle. The proposed method is based on the concept of statistical quality control of data. In addition, a data collection and processing scenario in support of public bicycle system is presented. The outcomes of this study would be valuable fundamentals for developing bicycle traffic information systems that is a part of future intelligent transportation systems(ITS).

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

• The Journal of Bigdata
• /
• v.7 no.2
• /
• pp.235-244
• /
• 2022

The rental history data of public bicycles in Seoul were analyzed to examine how pandemic phenomena such as COVID-19 caused changes in people's micro mobility. Data for 2019 and 2021 were compared and analyzed by dividing them before and after COVID-19. Data were collected from public data portal sites, and data marts were created for in-depth analysis. In order to compare the changes in the two periods, the riding direction type dimension and the rental station type dimension were added, and the derived variables (rotation rate per unit, riding speed) were newly created. There is no significant difference in the average rental time before and after COVID-19, but the average rental distance and average usage speed decreased. Even in the mobility of Ttareungi, you can see the slow rhythm of daily life. On weekdays, the usage rate was the highest during commuting hours even before COVID-19, but it increased rapidly after COVID-19. It can be interpreted that people who are concerned about infection prefer Ttareungi to village buses as a means of micro-mobility. The results of data mart-based visualization and analysis proposed in this study will be able to provide insight into public bicycle operation and policy development. In future studies, it is necessary to combine SNS data such as Twitter and Instagram with public bicycle rental history data. It is expected that the value of related research can be improved by examining the behavior of bike users in various places.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.249-256
• /
• 2013

Recent days, the global warming problem due to excessive use of fossil fuels has been the world wide issue so that Korea government and developed countries make an alternative plan for eco-friendly and transportations by utilizing bicycles for health promotion. Existing Public Bicycle Rental Service Systems provide simple service such as bicycle rental management and tracking the location. However there is no user-side service for the information of the measure of carbon reduction, or use of bicycles. The proposed system in this paper provides users' health information, environmental information, personal information, counseling services and the measures of carbon reduction. The new system has been developed to carry out reducing carbon and growing green in terms of using bicycles by adopting Web 2.0 technology.

• Journal of the Korean Institute of Rural Architecture
• /
• v.11 no.3
• /
• pp.11-18
• /
• 2009

The purpose of this paper is to find out the investigation of overseas case in Street Furnitures of Public Design. Thus this research regions select among the waterfront cities; Tokyo/Yokohama(Japan), Nies/Cannes(France), Shanghai(China), Vancouver(Canada), in addition to the city of art and romance; Paris. Above all, it is necessary to study concept of public design and definition of street furnitures. The survey data collected from forenamed cities and the items of street furnitures are various installments such as kiosk, bench, bollard, litter-bin, sign board, toilet, bus/taxi station, fence, shelter, lighting column, fountain, telephone-booth, clock-tower, automaton, bicycle stand, playing object etc. In this study street spaces are analysed that is related to regional surroundings and pedestrian's culture. Consequently, design trend of street furniture in foreign case analysis are going into thoroughly modern image as well as checking of form, color, material and maintenance system. According to the above findings, this paper will provide basic data for establishing of the street furniture and improving of public design to the regional citizen, local government officials and regional experts.

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.1-25
• /
• 2022

After the first Covid-19 confirmed case occurred in Korea in January 2020, interest in personal transportation such as public bicycles not public transportation such as buses and subways, increased. The demand for 'Ddareungi', a public bicycle operated by the Seoul Metropolitan Government, has also increased. In this study, a demand prediction model of a GRU(Gated Recurrent Unit) was presented based on the rental history of public bicycles by time zone(2019~2021) in Seoul. The usefulness of the GRU method presented in this study was verified based on the rental history of Around Exit 1 of Yeouido, Yeongdengpo-gu, Seoul. In particular, it was compared and analyzed with multiple linear regression models and recurrent neural network models under the same conditions. In addition, when developing the model, in addition to weather factors, the Seoul living population was used as a variable and verified. MAE and RMSE were used as performance indicators for the model, and through this, the usefulness of the GRU model proposed in this study was presented. As a result of this study, the proposed GRU model showed higher prediction accuracy than the traditional multi-linear regression model and the LSTM model and Conv-LSTM model, which have recently been in the spotlight. Also the GRU model was faster than the LSTM model and the Conv-LSTM model. Through this study, it will be possible to help solve the problem of relocation in the future by predicting the demand for public bicycles in Seoul more quickly and accurately.

• International Journal of Highway Engineering
• /
• v.16 no.1
• /
• pp.63-73
• /
• 2014

PURPOSES : The aim of this study is to analyze economic effect of bike-sharing after its introduction in Korea. METHODS : This study reviews current bike-sharing situations in Korea and other nations. We conduct surveys on bike-sharing system's bike usage patterns and economic benefits in Changwon and Goyang cities where public bikes are the most popular in the nation. Economic benefits are itemized after reviewing relevant previous studies. Then, the survey is implemented using the Contingent Valuation Method (CVM). Then estimated benefit is compared to the cost which is necessary for bike-sharing introduction and operation. RESULTS : Using the average WTP per household, the total economic benefit of bike-sharing is estimated as much as 1.75 billion KRW to 3.75 billion KRW in Goyang and Changwon city. Using estimated benefit, economic effect of bike-sharing are calculated as 0.69 and 1.00, respectively. CONCLUSIONS : The result of this study shows bike-sharing could be useful economic policy in Korea. However, economic effect of bike-sharing differs by city.

• KIEAE Journal
• /
• v.15 no.2
• /
• pp.5-17
• /
• 2015

Purpose: The goal of this research is to identify the planning techniques of Smart Green City with Ubiquitous method and carbon-neutral city planning techniques and to induce the main planning techniques through the analysis of relative importance and practical adaptation. Method: First of all, eighteen planning techniques were derived and categorized into three organization systems and six sectors through literature review and FGI analysis considering the applicability of Ubiquitous service for carbon-neutral city planning techniques. Secondly, based on expert surveys and AHP analysis, the importance of Smart Green City planning techniques was evaluated. Thirdly, using case study, six cases related to Smart Green City were analyzed for the current status of application of planning techniques. Lastly, considering the importance of planning techniques and practical aspects, the characteristics of Smart Green City and its implication were estimated. Result: Energy, Resource and Waste and Transportation sector were identified as important sectors for Smart Green City. In addition, 'Construction of Smart Grid', 'System for Utilization of New & Renewable Energy', 'Smart Resource Circulation Management System', 'Establishment of Public Transportation Information System basis', 'Construction of Pedestrian / Bicycle oriented Road Environment' are essential planning techniques to create Smart Green City.

• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.93-99
• /
• 2019

Small electric vehicles, such as electric bicycles or electric kickboards, operate with the power charged in a battery mounted in the vehicle, and some of these users use emergency power sockets installed in apartments or public facilities without getting permission. For this reason, the necessity for a simple method to approve the use of power with instant payment system rises for the building managers and small vehicle users as well. In this paper, we propose a technique to charge batteries for small electric vehicles with less than 1 [kW] through a power supply control device installed on the existing 15 [A]. sockets on the common residential properties or public buildings. It also describes the power user authorization algorithm and how to charge fees for the power used. As a result of this research, this paper shows how the user authentication power supply system with the effect of preventing power theft can be realized by creating an environment in which a battery in a small electric vehicle can be easily charged.