• Journal of Service Research and Studies
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• v.8 no.4
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• pp.53-75
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• 2018

Bicycle-sharing as a product service system in the sharing economy, its characteristic is that users can go to nearby places by the public bike at any time however they don't need to have their own bicycle. However, the service quality of bicycle-sharing and satisfaction of users continuously decrease with the rapid growth number of bicycle-sharing users in China. Based on the double diamond model and from the perspective of service design, this research studies the service experience of bicycle-sharing of Chinese users, focuses on the potential pain points of Chinese users when using the public bike, and designs the optimum proposal to promote users' satisfaction. According to the research result, the research builds a new concept which can satisfy users' demand for communication, enjoyment and option during the cycling. The experience of new service system of bicycle-sharing makes humanized and subconscious interaction possible.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.3
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• pp.353-362
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• 2023

In this research, the usage status and characteristics of user big data of Mobike, a dockless bike sharing service introduced in Suwon city, were analyzed, and multiple regression analysis was performed to identify factors influencing the demand for dockless bike sharing service. For analysis, usage data of bike sharing system in Suwon city in 2019 were obtained, and they were organized by areas. As a result of analyzing the characteristics of the influencing factors selected for each area, it was found that the extension of bicycle roads shows high in areas with high demand for bicycles or adjacent areas. Also, the population of 10-30's shows high in areas with high demand for bicycles or adjacent areas. In addition, it was analyzed that the use of bike sharing system is high in areas with high maintenance rate of bicycle roads and large-scale residential and commercial facilities near residential districts and adjacent areas. As a result of the multiple regression analysis, it is analyzed that length of bicycle·pedestrian roads (non-separated), population of 10-30's, number of railway stations, number of schools, number of commercial facilities, number of industrial facilities factors were significant. It is expected that it may be possible to create an environment in which citizens want to use dockless bike sharing service by identifying factors affecting the number of stationless shared bicycles. Also, the results of data analysis are considered to be contributing to policy data to promote the use of dockless bike sharing.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.2
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• pp.157-166
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• 2020

The city of Suwon has introduced a dockless bike for the first time in Korea. In this study, a questionnaire was conducted for citizens to suggest improvement through satisfaction analysis. As a result of the survey, 88 % of respondents awarded the presence of a bike, and 90 % answered positively in terms of bike policy; whereas mature civic ethics showed an low satisfaction. For the purpose of usage, approximately 75 % of users mainly used for commuting, business, shopping, and the connection with mass transit. In the result of the primary means of a trip, a private car was most preferred before operation; However, it was found that mode transition has been actively carried out. This suggests significant implications for implementing sustainable urbanism. Meanwhile, The level of satisfaction significantly differed in the field of payment method, charge, usage guidance and publicity by an occupation and age groups commonly. Satisfaction in bike maintenance was statistically differed by an occupation. Satisfaction in Rental-return and registration procedures showed differences by an age groups. The results of this study will contribute to establishment related policies and to more activate dockless shared bike.

• 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.42 no.1
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• pp.45-56
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• 2022

Recently, bicycle sharing system is introduced and the usage of shared bicycles is increasing in Suwon city. Despite the need to expand the bicycle road infrastructure, this is not the case. Therefore, this research attempts to propose a method for bicycle lane installation in Suwon city. For this, this research conducted location analysis based on the shared bicycle usage data and trip inducing facility data. Using location analysis results, appropriate routes for bicycle lanes are selected. As a result, two routes are selected. These routes have advantages that it is easy to connect with the existing bicycle roads or traffic inducing facilities and to install using the existing bicycle roads. However, these routes also have disadvantage that traffic congestion may occur due to the occupancy of the existing road space. It is expected that this research may contribute to expansion and maintenance of bicycle lane infrastructure, the bicycle and PM sharing service usage, implementation of sustainable urban transportation systems in Suwon city.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.167-175
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• 2020

With the recent revitalization of the shared economy, bike-sharing services are gaining huge popularity in the bicycle sector. Bike-sharing services are characterized by reducing environmental pollution and borrowing bicycles at low prices. This study investigated the mechanisms for the formation of customer's continuance intention toward bike-sharing services. The theoretical framework clarified the role of perceived value and trust in enhancing customer's continuance intention. Perceived usefulness, perceived ease of use and perceived enjoyment are considered as the vital factors of enhancing perceived value and trust in a service provider. The research model was validated by data from 217 bike-sharing users in China. Both perceived value and trust in a service provider had a significant impact on user's continuance intention. However, the analysis results showed that perceived usefulness does not have a significant impact on both perceived value and trust in a service provider. Perceived ease of use and perceived enjoyment played a significant role in enhancing both perceived value and trust in a service provider. Our results are expected to provide academic and practical implications for bike-sharing services.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.368-371
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• 2013

자전거 인구가 증가함에 따라 4대강, 한강 등 10대 자전거 거점도시를 중심으로 인프라가 구축되고 있다. 이러한 인프라로 급속히 성장된 자전거 인구가 약 1,000만 명 에 이르지만, 이러한 유저간의 정보제공 및 정보공유를 뒷받침 해줄 복합적인 콘텐츠가 부족한 실정이다. 하여 본 연구에서는 정보기술로 급속하게 성장하고 있는 스마트폰과 SNS을 기반으로 하여 자전거 노선 공유, 거리 및 속도 분석, 자전거 모임 제공, 여행지 공유 등을 서로 공유하고 제공할 수 있는 자전거 문화 활성화 서비스를 구현하였다.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.5
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• pp.169-178
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• 2021

Recently, a bike-sharing system (BSS) has become popular as a convenient "last mile" transportation. Rebalancing of bikes is a critical issue to manage BSS because the rents and returns of bikes are not balanced by stations and periods. For efficient and effective rebalancing, accurate traffic prediction is important. Recently, cluster-based traffic prediction has been utilized to enhance the accuracy of prediction at the station-level and the clustering step is very important in this approach. In this paper, we propose a k-means based clustering algorithm that overcomes the drawbacks of the existing clustering methods for BSS; indeterministic and hardly converged. By employing the centroid initialization and using the temporal proportion of the rents and returns of stations as an input for clustering, the proposed algorithm can be deterministic and fast.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.158-160
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• 2012

건강에 대한 관심의 증가와 자전거의 이용자의 증가로 다방면에서 자전거 이용 활성화에 관한 법률이 지정되고 있다. 이런 흐름을 반영하듯 자전거 관련 어플리케이션도 다양하게 개발되어있다. 또한 소설네트워크의 발전으로 서로간의 정보교류가 활발해진 만큼 그에 따른 서비스도 필요로 하게 되었고, 이전과는 다른 자전거의 가치로 인해 자전거의 절도에 대한 방지 서비스도 필요하게 되었다. 이에 따라서 기존의 어플리케이션에서 제공했던 경로, 운동량, 속도의 정보 외에도 사용자간의 경로와 자전거정보 공유, 분실된 자전거를 찾을 수 있도록 도움이 되는 기능을 추가하여 기존의 어플리케이션보다 나은 어플리케이션을 제안한다. 사용자가 공유하려는 경로데이터를 데이터베이스에 저장하여 다른 사용자에게 전달하여주고 모든 사용자의 데이터를 정리하여 QR코드를 부여하여 분실시 QR코드를 사용하여 사용자간에 분실자전거를 찾게 해주는 방법을 사용하였다. 본 논문에서는 구현 하려는 어플리케이션의 설계와 구현하였다.