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

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.04a
• /
• pp.1034-1037
• /
• 2014

2013년도에 자전거 판매량이 100 만대를 돌파하면서 자전거 운동에 대한 사람들의 관심이 증가하고 있다. 뿐만 아니라, 서울시 등 각 지방 자치에서 자전거 도로를 설치하고 자전거 코스를 제공하는 등 국민의 건강관리에 힘쓰고 있다. 자전거를 통한 건강관리에 대한 관심이 증대되면서 스마트 디바이스를 활용한 운동 관련 어플리케이션도 역시 증가하고 있다. 본인의 기록을 측정하기 어렵고 별도의 장비가 필요하던 과거와 달리 이제는 누구나 가지고 있는 스마트폰만으로도 자신의 운동을 효율적으로 자신의 운동을 관리할 수 있도록 하는 어플리케이션이 인기를 끌고 있다. 이러한 수요에 맞추어 스마트 상의 GPS 센서를 이용한 자전거 가이드 시스템 '자전거로 달려볼까'는 별도의 센서를 부착할 필요 없이 스마트폰에 기본적으로 포함되어 있는 GPS 센서를 이용하여 사용자에게 운동 기록 측정, 기록 보기, 코스 및 날씨정보를 제공한다.

• Information Systems Review
• /
• v.22 no.1
• /
• pp.147-165
• /
• 2020

The sharing economy service is now spreading in various fields such as accommodation, cars and bicycles. In particular, bicycle-sharing service have become very popular around the world, and since September 2015, Seoul has been providing a bicycle-sharing service called 'Ttareungi'. However, the number of bicycles is unbalanced among rental stations continuously according to the user's bicycle use. In order to solve these problems, we employed social network analysis using Ttareungi data in Seoul, Korea. We analyzed degree centrality, closeness centrality, betweenness centrality and k-core. As a result, the degree centrality was found to be closely linked with bus or subway transfer center. Closeness centrality was found to be in an unbalanced departure and arrival frequency or poor public transport proximity. Betweenness centrality means where the frequency of departure and arrival occurs frequently. Finally, the k-core analysis showed that Mapo-gu was the most important group by time zone. Therefore, the results of this study may contribute to the planning of relocation and additional installation of bike rental station in Seoul.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.01a
• /
• pp.433-434
• /
• 2019

이 논문은 공공 빅 데이터를 활용하여 '서울자전거 따릉이'를 기반으로 자전거 교통 데이터베이스 시스템을 제작하고, 제작한 데이터베이스 시스템을 활용하는 예시를 보여주고 있습니다. 데이터베이스 시스템의 제작 과정을 통하여 데이터베이스 설계, 데이터 수집, 제작 및 가공 과정, 데이터베이스 시스템의 유용한 활용 예시를 확인할 수 있습니다. 버스, 택시와 같이 따릉이와 연계할 수 있는 다양한 대중교통 데이터를 추가로 활용한다면 더욱 정확하게 따릉이의 발전방향과 혼잡한 교통 환경 개선을 제시할 수 있는 유용한 정보를 도출할 수 있을 것이다.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.9
• /
• pp.89-96
• /
• 2016

According to the promoting policy for bicycle riding, the bicycle road infrastructure in Korea has been widely established. As the number of bicycle rider increases, bicycle traffic accidents also increase year after year. In this paper, we analyze bicycle traffic accident data from 2007 to 2014 which is provided by Road Traffic Authority and present statistical results of bicycle traffic accidents. And also regression analysis is applied to predict the number of daily traffic accidents in Seoul using ASOS(Automated Synoptic Observing System) climate data observed in the Seoul sector which are provided by Korea Meteorological Administration. In addition, decision tree analysis techniques are used to forecast the level of traffic accidents severity. In the analytic results of this research, we expect that it will be helpful to establish the collective policy of bicycle accident data and protective strategy in order to reduce the number of bicycle accidents.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.01a
• /
• pp.91-93
• /
• 2021

퍼스널 모빌리티를 비롯한 공유 모빌리티 시장이 국내에서 급격한 성장을 거두고 있다. 서울시에서는 2015년부터 공공자전거 서비스 '따릉이' 사업을 시작해 서울시민에게 주목받는 정책 중 하나로 자리매김했다. 그에 따라 매해 늘어나는 따릉이 수요를 맞추기 위해 서울시에서는 따릉이 대여소를 매해 증설하고 있으나, 자전거 부족, 거치대 부족으로 많은 불만이 나오고 있다. 본 논문에서는 따릉이 대여소의 이용률을 분석하여 사용이 집중되는 대여소와 그 시간대를 분석하고, 이를 통해 특정 대여소에 자전거가 필요 이상으로 반납되거나 부족해지는 현상을 해결할 방법을 제시한다.

• The Journal of the Korea Contents Association
• /
• v.19 no.1
• /
• pp.132-140
• /
• 2019

Recently, many cities around the world introduced and operated shared bicycle system to reduce the traffic and air pollution. Seoul also provides shared bicycle service called as "Ddareungi" since 2015. As the use of shared bicycle increases, the demand for bicycle in each station is also increasing. In addition to the restriction on budget, however, there are managerial issues due to the different demands of each station. Currently, while bicycle rebalancing is used to resolve the huge imbalance of demands among many stations, forecasting uncertain demand at the future is more important problem in practice. In this paper, we develop forecasting model for demand for Seoul shared bicycle using statistical time series analysis and apply our model to the real data. In particular, we apply Holt-Winters method which was used to forecast electricity demand, and perform sensitivity analysis on the parameters that affect on real demand forecasting.

• Journal of Digital Convergence
• /
• v.17 no.1
• /
• pp.287-293
• /
• 2019

The purpose of this study is to research on usability of Seoul Bike focusing on seoul citizens over-50s. Before the test, I researched Seoul Universal Design Guideline's background, purpose, principle and range through literature review. Then I did two tests based on re-establishment of the existing principle to fit the public service. First, I have noticed that using the service through an application was difficult for seoul citizens over-50s even if they have NEEDS for using Seoul Bike according to the survey. Next, I drew the result from User Task Evaluation Analysis. Due to the low app usability(the main point of the service) and accessibility and usability status was rate low, but the overall service process was comfortable and convenience. I expect this study will be a good resouce for public service design.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.6
• /
• pp.14-25
• /
• 2021

With the spread of COVID-19 and the government policy of social distancing, the demand for subways and buses is decreasing, whereas the demand for public bicycles and personal transportation is increasing. Hence, research is needed to understand the characteristics of this phenomenon and to prove the statistical reliability of the correlation between the subway and shared bicycle demands. In this study, the correlation between the number of confirmed COVID-19 cases and the replacement rate of subway and public bicycle demands was examined, but the statistical significance was not significant. However, during the period of September to December 2020, in which the number of confirmed COVID-19 cases in Seoul started to increase rapidly, there was a correlation between the number of confirmed COVID-19 cases and the replacement ratio. If the number of confirmed COVID-19 cases increases by more than a certain number, public bicycles are expected to play a significant role as alternates to the subways. It is expected that the role of public bicycles will increase, and that it is possible to suggest the direction of transportation operation and policy establishment for the continuation of COVID-19 countermeasures in field demonstration after elementary technology development. It is also expected that this study will suggest a direction for future development and policymaking.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.9 no.5
• /
• pp.59-66
• /
• 2010

Korea have experienced a very rapid increase in police-reported collisions between bicycle and motor vehicles over the past decade. Even though cycling accidents are increasing, efforts to make urban areas more accomodating to cyclists are seldom formed. Clearance intervals(including both the yellow change and all-red clearance intervals) at signalized intersections that are of inadequate lengths for bicycles may cause accidents. Data on bicycling speed, acceleration and deceleration were tested and analyzed on the flat. Using the results of the analysis and based on the AASHTO's equation of the bicycle clearance interval, a methodology is got for calculation safe clearance intervals for bicycle riders. The clearance interval call for bicycles will be larger or same than for vehicles because of the speed, acceleration and deceleration difference. Adequate bicycle speed, acceleration and deceleration for korean bicycle users is presented in this paper. It is hoped that traffic engineers to provide safe intersection clearance time for bicycles use the results of this paper.