• Title/Summary/Keyword: public bike

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A Study on Analysis and Utilization of Public Sharing Bike Data - By applying the data of Ouling, Public Sharing Bike System in Sejong City (공유자전거 데이터 분석 및 활용방안 연구 세종특별자치시 공유자전거 어울링의 데이터를 적용하여)

  • An, Se-Yun;Ju, Hannah;Kim, So-Yeon;Jo, Min-Jun;Kim, Sungwhan
    • 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.

Design on Magnesium Frame of Bike as New Paradigm for Urban style (도심형 신개념 자전거의 마그네슘 프레임 설계)

  • Kim, Kwang-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1011-1015
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    • 2013
  • The demand of bike increases eco-friendly as the mean of transportation but domestic production basis becomes sluggish. In this study, the design analysis of horizontal and vertical frame is performed on the model which is proposed as the bike of new concept in conjunction with public transport system. As the result, the structural analysis is conducted on the main frame of urban bike used with cast magnesium alloy. As the vertical load of 150 kg is applied, the design technology insures that maximum stress less than 70 MPa is obtained.

Analysis of the Affecting Factors on the Bike-sharing Demand focused on Daejeon City (대전시 공유자전거 이용수요에 영향을 미치는 요인에 관한 연구)

  • Do, Myungsik;Noh, Yun Seung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.5
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    • pp.1517-1524
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    • 2014
  • In recent years, the interest of environmental-friendly transportation modes has been growing. This is because of social and environmental problems such as increasing gas price and climate change. In Europe, bike-sharing service, one of the environmental-friendly transportation modes, has been already operated. Bike-sharing service named "Tashu" has been operated in Daejeon city since 2009. This study is a fundamental research to increase utilization efficiency of bike-sharing service and to decide optimal locations of bike stations. In addition this study examines characteristics of bike usage and analyzes factors affecting to demands using multiple regression model. Based on the result of examining of characteristics of bike usage, the rate of bike usage is higher compared with installation rate of public bike stations near parks in Daejeon. In addition demands of bike usage in weekend is higher than in weekday. It reveals that the main purpose of bike usage could be recreational activities. The return rate at the same location with rental station is comparatively high. Moreover, bike usage pattern is biased in specific areas (Dunsan and Yuseong) because bike-sharing stations are not equally located. As a result of multiple regression model, the factors affecting to demands are number of passengers in buses, length of bike lanes, parks, distance to waterfront, and rate of young people. A statistical significance of factors (r-square) is 0.748, which has strong relationship.

A Bike Mode Share Estimation Model and Analysis of the Bike Demand Factor Effects (자전거 수단분담률 추정모형 구축 및 자전거 수요요인분석)

  • Lee, Gyu-Jin;Choe, Gi-Ju
    • 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.

Demand Forecasting Model for Bike Relocation of Sharing Stations (공유자전거 따릉이 재배치를 위한 실시간 수요예측 모델 연구)

  • Yoosin Kim
    • 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.

Bikeway Vitalization Countermeasures Using Bikeway User Satisfaction Model (자전거도로 이용자 만족도 모형을 통한 자전거도로 활성화 대책)

  • Im, Jun-Beom;No, Ri-Ra;Hong, Ji-Yeon;Lee, Su-Beom
    • Journal of Korean Society of Transportation
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    • v.28 no.5
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    • pp.163-172
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    • 2010
  • There are many efforts for expanding bikeway plans and increasing bike utilization. In this study the authors try to find the primary factors that affect bike users' satisfaction under limited budgets. As satisfaction is a qualitative variable, the authors developed a bike user satisfaction model by using structural equation methods. The bikeways are distinguished between bike lanes on public roads and exclusive bikeways along the Han River, as the characteristics and attributes should be different. The model shows bikeways on public road have a user satisfaction equal to 0.248*(safety)+0.405(accessibility). Bikeways along the Han River have a user satisfaction equal to 0.437*(accessibility)+0.405*(economic feasibility). In both types, accessibility affects satisfaction. Safety in more important to users on public roads, while economic feasibility affects those on the Han River bikeways.

Predicting Determinants of Seoul-Bike Data Using Optimized Gradient-Boost (최적화된 Gradient-Boost를 사용한 서울 자전거 데이터의 결정 요인 예측)

  • Kim, Chayoung;Kim, Yoon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.861-866
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    • 2022
  • Seoul introduced the shared bicycle system, "Seoul Public Bike" in 2015 to help reduce traffic volume and air pollution. Hence, to solve various problems according to the supply and demand of the shared bicycle system, "Seoul Public Bike," several studies are being conducted. Most of the research is a strategic "Bicycle Rearrangement" in regard to the imbalance between supply and demand. Moreover, most of these studies predict demand by grouping features such as weather or season. In previous studies, demand was predicted by time-series-analysis. However, recently, studies that predict demand using deep learning or machine learning are emerging. In this paper, we can show that demand prediction can be made a little better by discovering new features or ordering the importance of various features based on well-known feature-patterns. In this study, by ordering the selection of new features or the importance of the features, a better coefficient of determination can be obtained even if the well-known deep learning or machine learning or time-series-analysis is exploited as it is. Therefore, we could be a better one for demand prediction.

A Proposal for User Experience Design for Domestic Bicycle Rider whom going Long Distance Trip -Focusing on App - (국내 장거리 자전거 여행자를 위한 사용자 경험 디자인 제안 -자전거 행복나눔 애플리케이션을 중심으로-)

  • Yun, Byung-Hun;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.16 no.4
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    • pp.299-306
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    • 2018
  • This study is to measure traveling experience of bike riders whom going long distance trip. Bike paths and bike riding are crucial element for modern people's life style. At the same time, a bicycle trail is being developed by the National Bicycled-Oriented Chair Plan, which was established in 2009 by the National Bike Policy Master Plan. 13 million bike riders in Korea is keep on trying the long distance bike trip and its number is increasing every year. Accordingly, the Ministry of Public Administration and Security decides to promote the convenience of riders by developing bicycle app for long distance rider. The study attempted to assess usability of this app with 39 bike applications whom currently using the bike application. Afterwards, the researchers tests 11 hypotheses through in-depth interviews of six activated members. In sum, Bicycle travelers should be provided with bike trail guidance based on theme section skill, provided in-time speed distance related information, communicated with other bike riders, given tips for bike supplies and maintenance, and provided English language service. The study hopes to help find a customized service for bike travelers.

Bicycle Wear Survey Based a Study on the Development of the Commute for Bike Wear Textile Design (바이크복 현황조사를 기반으로 한 출.퇴근용 바이크복 텍스타일 디자인 개발에 관한 연구)

  • Lee, Youn-Soon;Eum, Ji-Eun
    • Journal of the Korea Fashion and Costume Design Association
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    • v.14 no.4
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    • pp.179-190
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    • 2012
  • During recent few years, Bike is arising as one of the most important item of sports market. As well as in domestic markets, customers are demanding specific brands only for young aged riders. Therefore, this study researched current bike wears and suggest digital textile printing with sports wear trends which also have safety and visual impact effectiveness, so it can be satisfied as green products and we also try to suggest sports sensitivity of existing cycle wear to city fashion. The purpose of this study is to figure out 20's-30's female biker attitude for bike wear and their purchasing habits and also their preference, digital textile design of city biker wear based on present condition research of riding wear markets and to establish high quality products with occupying high percentage of global markets and making high profits. For this study, bike wear distributors Survey First, foreign companies generally meet evenly sampling the 20s and 30s targeted vendors 10 companies were selected. 'city sporty ware' or 'casual line' dual 'extreme line' from all manufacturers, including, however did not distinguish it from all the vendors. This higher proportion of the recent upsurge in public and non-professional riders, despite the fact that you can see that the lack of 'Extreme line' compared to the 'casual' line of the city sporty ware production. overall seasonal sales in the spring appeared windbreak jacket, leggings and sweat emissions and at the same time built into the fabric dry faster T-shirt and shorts in the summer sales were higher. autumn jacket and produced excellent warm in winter fleece fabric T-shirts, pants, windshield jacket higher sales. showed improvements in design, improved in the order of the highest and perfect for everyday wear for both. As mentioned, we figure out 20's-30's female rider's attitude for riding suit and their purchasing habits and also their preference, so we can develop riding suit design based on their needs and suggest new design patterns.

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