• Title/Summary/Keyword: Public Bicycle

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U-health Bike Web Services for Reducing Carbon and Health Information (탄소 저감 및 건강 정보를 위한 U-health Bike 웹 서비스)

  • Kim, Changjin;Kim, Wuwoan;Jang, Sangdong
    • Journal of Digital Convergence
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    • v.11 no.2
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    • pp.249-256
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    • 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.

Usability Testing and Improvement of Mobile Application of Shared Mobility Ttareungi (공유 모빌리티 따릉이 모바일 어플리케이션 사용성 평가 및 개선 방안 제안)

  • Lee, Seonghyeon;Moon, Saiyeon;Oh, Siyeon;Hong, Jina;Jung, Young-Wook
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.377-388
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    • 2021
  • With the growth of the global sharing economy market, various sharing services have recently appeared in South Korea. Seoul city unmanned public bicycle rental service, "Ttareuni" is one of the services representing the shared mobility industry in South Korea. Although many users use this service, the usability of the mobile application, which is the essential medium of utilizing the service, is not improving. In this regard, this study conducted usability testing and in-depth interviews for Ttareungi's main users in their 20s and 30s to improve the user experience of the mobile application of Ttareungi. As a result, the problems of Ttareungi mobile application were identified, and based on this, design considerations for shared mobility services having publicity like Ttareungi were proposed. This is expected to contribute to improving the user experience of shared mobility services.

Estimation of PM10 and PM2.5 inhalation dose by travel time and respiratory volume in common transport microenvironments in Seoul, Korea (서울지역 교통수단별 이동시간과 호흡량을 고려한 미세먼지 흡입량 추정에 관한 연구)

  • Lee, Yong-Il;Jung, Wonseck;Hwang, Doyeon;Kim, Taesung;Park, Duckshin
    • Particle and aerosol research
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    • v.14 no.4
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    • pp.97-105
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    • 2018
  • Recently, people's interest in particulate matter (PM) has been increasing, due to its hazardous health effects. The purpose of this study was to investigate the concentrations and as well as the inhaled weight of PM, correlated with person's heart rate in subway, bus, vehicle and bicycle in the major public transportation (Sadang - Jamsil and Nowon - Dongdaemun) in Seoul. The concentration of $PM_{10}$ and $PM_{2.5}$ were measured from each of transportation means and calculated the average concentrations which were 87.2 and $57.8{\mu}g/m^3$ for subway, 62.8 and $42.5{\mu}g/m^3$ for vehicle, 61.5 and $36.8{\mu}g/m^3$ for bus and 53.0 and $29.4{\mu}g/m^3$ for bicycle in $PM_{10}$ and $PM_{2.5}$ respectively. Inhalation dose for $PM_{10}$ and $PM_{2.5}$ were estimated at 248.1 and $139.4{\mu}g$ for bicycle, 56.7 and $39.3{\mu}g$ for vehicle, 49.4 and $29.9{\mu}g$ for bus and 44.3 and $29.1{\mu}g$ for subway, respectively. Even though subway had the highest concentration, the highest inhalation dose was the bicycle. It was due to the long travel time-exposure and breathing rate which leads to maximum of $PM_{10}$ 5.6 and $PM_{2.5}$ with 4.8 times inhalation dose comparing with other modes of transportation. With regards to future studies, the amount of inhalation in each transportation means should be considered in risk assessments of PM.

Estimation of Shared Bicycle Demand Using the SARIMAX Model: Focusing on the COVID-19 Impact of Seoul (SARIMAX 모형을 이용한 공공자전거 수요추정과 평가: 서울시의 COVID-19 영향을 중심으로)

  • Hong, Jungyeol;Han, Eunryong;Choi, Changho;Lee, Minseo;Park, Dongjoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.1
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    • pp.10-21
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    • 2021
  • This study analyzed how external variables, such as the supply policy of shared bicycles and the spread of infectious diseases, affect the demand for shared bicycle use in the COVID-19 era. In addition, this paper presents a methodology for more accurate predictions. The Seasonal Auto-Regulatory Integrated Moving Average with Exogenous stressors methodology was applied to capture the effects of exogenous variables on existing time series models. The exogenous variables that affected the future demand for shared bicycles, such as COVID-19 and the supply of public bicycles, were statistically significant. As a result, from the supply volume and COVID-19 outbreak according to the scenario, it was estimated that approximately 46,000 shared bicycles would be supplied by 2022, and the COVID-19 cases would continue to be at the current level. In addition, approximately 32 million and 45 million units per year will be needed in 2021 and 2024, respectively.

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.

Economic Effect Analysis for Bike-Sharing in KOREA - Focus on Goyang and Changwon City - (공공자전거 경제적 효과 분석 - 고양시 및 창원시를 대상으로 -)

  • Kim, Dong-Jun;Jeong, Seong-Yub;Han, Sang-Yong;Shin, Hee-Cheol
    • International Journal of Highway Engineering
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    • v.16 no.1
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    • pp.63-73
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    • 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.

A Study on Predicting the demand for Public Shared Bikes using linear Regression

  • HAN, Dong Hun;JUNG, Sang Woo
    • Korean Journal of Artificial Intelligence
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    • v.10 no.1
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    • pp.27-32
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    • 2022
  • As the need for eco-friendly transportation increases due to the deepening climate crisis, many local governments in Korea are introducing shared bicycles. Due to anxiety about public transportation after COVID-19, bicycles have firmly established themselves as the axis of daily transportation. The use of shared bicycles is spread, and the demand for bicycles is increasing by rental offices, but there are operational and management difficulties because the demand is managed under a limited budget. And unfortunately, user behavior results in a spatial imbalance of the bike inventory over time. So, in order to easily operate the maintenance of shared bicycles in Seoul, bicycles should be prepared in large quantities at a time of high demand and withdrawn at a low time. Therefore, in this study, by using machine learning, the linear regression algorithm and MS Azure ML are used to predict and analyze when demand is high. As a result of the analysis, the demand for bicycles in 2018 is on the rise compared to 2017, and the demand is lower in winter than in spring, summer, and fall. It can be judged that this linear regression-based prediction can reduce maintenance and management costs in a shared society and increase user convenience. In a further study, we will focus on shared bike routes by using GPS tracking systems. Through the data found, the route used by most people will be analyzed to derive the optimal route when installing a bicycle-only road.

An Experimental Study on Basis Properties Matter of Porous Concrete According to Filling Binder Paste (결합재 페이스트 충전에 다른 포러스콘크리트의 물성에 관한 실험적 연구)

  • 윤상혁;김영진;박희곤;정근호;이영도;정상진
    • Proceedings of the Korea Concrete Institute Conference
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    • 2003.05a
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    • pp.333-338
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    • 2003
  • Although porous concrete is resently used as a pavement at a parking lot, a public squre and a bicycle road, we use without enough examining. most the maintenance of quality for porous concrete is only dealt with strength and color tone. also, there is not yet enough fundamental data about dynamical properties for strength, rate of void and water permeability. even when it is applied to at the scene, it is been a matter. Accodingly in this study analyzed influences through the dynamical properties, combination, and time to vibration. After the analyzation, they investigated peculiar dynamics which are strength of porous concrete, rate of void, and water permeability follow the rate of increase on an admixture making pozzolan reaction. This is purpose to improve capacity of the sidewalk permeable concrete and development of the economical technique for pavement.

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Implementation of public data contents using Big data Visualization technology - Map visualization technique (빅 데이터 가시화 기술을 적용한 공공데이터 콘텐츠 구현 - Map가시화 기법)

  • Bak, Seon-Hui;Kim, Jong Ho;You, Hyun-Bea
    • Journal of Digital Contents Society
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    • v.18 no.7
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    • pp.1427-1434
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    • 2017
  • Due to the acceleration of the 4th industrialization, the data around us rapidly increased. Therefore, it is necessary to be able to more easily grasp the nature and meaning of data obtained through data analysis than to collect data, and apply it flexibly to the value judgment of data. Visualization technology is now attracting attention in many fields. Visualization allows the user to more easily grasp the information of the data with graphs, charts, etc. so that the data analysis result can be understood more easily, so that the user can make an immediate judgment and make a quick decision. Among them, there is a high degree of interest in visualization using public data, which is highly useful to users. In this paper, we implemented R - library and R Studio to visualize public data at the installation sites of bicycle storage sites among various software that can express visualization.

A Study on Micro-Mobility Pattern Analysis using Public Bicycle Rental History Data (공공자전거 임대내역 데이터를 활용한 마이크로 모빌리티 패턴분석 연구)

  • Cho, Jaehee;Baik, Gaeun
    • Journal of Information Technology Services
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    • v.20 no.6
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    • pp.83-95
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    • 2021
  • In this study, various usage patterns were analyzed after establishing a data mart for micro mobility analysis based on the rental history of public bicycles in Seoul. Rental history data is origin-destination data that includes the rental location and time, and the return location and time. About 1500 rental locations were classified according to the characteristics of the location to create a 'station type' dimension. We also created a 'path type' dimension that displays whether the rental location and return location are the same. In addition, a derived variable called speed, which is obtained by dividing the distance used by the time used, is added, and through this, the characteristics of the riding area and the reason for the rental can be estimated. Meanwhile, administrative district link, administrative neighborhood link, and station type link were created to apply network analysis. Through this analysis, the roles and proportions of administrative districts, public facilities, and private facilities engaged in micro-mobility services were visualized. 49.9% of rentals occur at rental offices near transportation facilities, and half of them occur at rental offices near subway stations. The number of rentals during the evening rush hour is more than double that of the morning rush hour. When the path type is unidirectional, there is a fixed destination, so the distance and time used are short, and the movement speed tends to be high. In the case of round-trip, the purpose of use is exercise or leisure, so the distance and time used are long, and the movement speed is slow. It is expected that the results of the analysis can be used as reference materials for selecting new rental locations, providing convenient services for users, and developing user-specialized products.