• Title/Summary/Keyword: Public Bike

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Analysis of Physical Characteristics Affecting the Usage of Public Bike in Seoul, Korea - Focused on the Different Influences of Factors by Distance to Bike Station- (서울시 공공자전거 이용에 영향을 미치는 물리적 환경 요인 분석 -대여소별 거리에 따른 요인의 영향력 차이를 중심으로-)

  • Sa, Kyungeun;Lee, Sugie
    • Journal of Korea Planning Association
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    • v.53 no.6
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    • pp.39-59
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    • 2018
  • This study examines the relationship between the usage of public bike and physical environment factors around the public bike stations using the public bike rental history data from 2016 to 2017 in Seoul, Korea. Focusing on the different influences of determinant factors by distance to public bike station, this study identifies influential factors that affect the usage of public bike. The results of the analysis are as follows. First, both the land use and physical environmental variables of bike station areas show strong associations with the usage of public bike. Second, the usage of public bike is also associated with neighborhood living facilities, business facilities, land use mix, the distance to subway station, public facilities and universities. This finding indicates that public bike has played a role as a transportation mode for the short-distance travel and commuting purposes in everyday life. Third, this study shows that the usage of public bike is strongly associated with the average slope, traffic volume around public bike stations, distance to streams or rivers, and the types of bike lane. This finding also indicates that surrounding environmental factors play an important role in the usage of public bike. Finally, this study identifies the different influences of determinant factors on the usage of public bike by distance to public bike station. This study suggests policy implications for the potential locations of public bike stations in the future.

Analysis of the Seoul public bikes usage for new rental locations (서울 공공자전거 신규 대여소를 위한 수요량 예측 분석)

  • Kim, Yesool;Park, Sion;Park, Gunwoong
    • The Korean Journal of Applied Statistics
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    • v.33 no.6
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    • pp.739-751
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    • 2020
  • Seoul public bike program facilitates access to bicycles and offers potential for greater mobility and health for users. Furthermore, it would have positive impacts on transport congestion, energy use, and the environment. Hence, it is important to find future rental locations by taking to account both bike-demand and regional imbalance. This paper first finds eligible candidates of rental locations with the required spatial conditions such as a sufficient sidewalk width and accessibility of bike pick-up vehicles. And then, estimates public bike daily usage for each selected location via random forest based on Seoul public bike historical usage, Seoul geographical features, regional characteristics, and populations. This study contributes to a better comprehension of the Seoul public bike program, and would be useful in determining new public bike rental locations.

Conceptualization of u-Bike Services and its Priorities (u-Bike 서비스의 개념 및 적용 우선순위 연구)

  • Lee, Jae-Yeong;Im, Yun-Taek;Lee, Sang-Ho
    • Journal of Korean Society of Transportation
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    • v.28 no.3
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    • pp.7-17
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    • 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.

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.

Impact Analysis of Weather Condition and Locational Characteristics on the Usage of Public Bike Sharing System (기상조건과 입지특성이 공공자전거 이용에 미치는 영향 분석)

  • LEE, Jang-Ho;JEONG, Gyeong Ok;SHIN, Hee Cheol
    • Journal of Korean Society of Transportation
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    • v.34 no.5
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    • pp.394-408
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    • 2016
  • This study aims to study the impact of weather conditions and locational characteristics of bike stations on the usage of public bike sharing system for efficient deployment and operation of public bike systems. Linear regression analysis is used to estimate the usage of public bikes of Goyang city. The statistical analysis shows that the usage rate increases with average temperature and decreases under high wind (over 7m/s) or high temperature (over $29^{\circ}$) condition. The usage rate of public bike sharing system can be differentiated by locational characteristics of bike station such as residential area, commercial area, park, school, and metro station. The usage rate increases in park and commercial areas from 10 AM to 3 PM, while it increases in school areas from 3 PM to 5 PM. Public bikes are highly used near the metro station from 5 PM to 8 PM. The stations in parks are highly used in late night, and the usage rate in CBD area increases after the midnight.

Development of an Urban Folding Bike for Public Transportation (대중교통 연계를 고려한 도심형 접이식 자전거 개발)

  • Jung, T.S.
    • Transactions of Materials Processing
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    • v.22 no.1
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    • pp.42-47
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    • 2013
  • The bicycle is one of the most important eco-friendly transport methods which can mitigate global warming. The portability of a bike on public transportation systems is essential for the wide spread use of bicycles by people in urban environments. In this study, a lightweight urban folding bike was developed with careful consideration of the association with public transport. A folding frame using a moving slide link mechanism made from AL6061 is proposed. Numerical analysis was conducted to evaluate structural safety of the bike in both vertical and pedal loading tests. The proposed urban folding bicycle weights only 10kg and summation of its width, length, and height in the folded configuration is under 158cm.

Application of Variable Neighborhood Search Algorithms to a Static Repositioning Problem in Public Bike-Sharing Systems (공공 자전거 정적 재배치에의 VNS 알고리즘 적용)

  • Yim, Dong-Soon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.1
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    • pp.41-53
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    • 2016
  • Static repositioning is a well-known and commonly used strategy to maximize customer satisfaction in public bike-sharing systems. Repositioning is performed by trucks at night when no customers are in the system. In models that represent the static repositioning problem, the decision variables are truck routes and the number of bikes to pick up and deliver at each rental station. To simplify the problem, the decision on the number of bikes to pick up and deliver is implicitly included in the truck routes. Two relocation-based local search algorithms (1-relocate and 2-relocate) with the best-accept strategy are incorporated into a variable neighborhood search (VNS) to obtain high-quality solutions for the problem. The performances of the VNS algorithm with the effect of local search algorithms and shaking strength are evaluated with data on Tashu public bike-sharing system operating in Daejeon, Korea. Experiments show that VNS based on the sequential execution of two local search algorithms generates good, reliable solutions.

Estimating Travel Frequency of Public Bikes in Seoul Considering Intermediate Stops (경유지를 고려한 서울시 공공자전거 통행발생량 추정 모형 개발)

  • Jonghan Park;Joonho Ko
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.3
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    • pp.1-19
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    • 2023
  • Bikes have recently emerged as an alternative to carbon neutrality. To understand the demand for public bikes, we endeavored to estimate travel frequency of public bike by considering the intermediate stops. Using the GPS trajectory data of 'Ttareungyi', a public bike service in Seoul, we identified a stay point and estimated travel frequency reflecting population, land use, and physical characteristics. Application of map matching and a stay point detection algorithm revealed that stay point appeared in about 12.1% of the total trips. Compared to a trip without stay point, the trip with stay point has a longer average travel distance and travel time and a higher occurrence rate during off-peak hours. According to visualization analysis, the stay points are mainly found in parks, leisure facilities, and business facilities. To consider the stay point, the unit of analysis was set as a hexagonal grid rather than the existing rental station base. Travel frequency considering the stay point were analyzed using the Zero-Inflated Negative Binomial (ZINB) model. Results of our analysis revealed that the travel frequency were higher in bike infrastructure where the safety of bike users was secured, such as 'Bikepath' and 'Bike and pedestrian path'. Also, public bikes play a role as first & last mile means of access to public transportation. The measure of travel frequency was also observed to increase in life and employment centers. Considering the results of this analysis, securing safety facilities and space for users should be given priority when planning any additional expansion of bike infrastructure. Moreover, there is a necessity to establish a plan to supply bike infrastructure facilities linked to public transportation, especially the subway.

Study on Research Method for Leading-in Public Bike Operation System -Focus on Public Bike System in NaJu City- (공공자전거 운영시스템 도입을 위한 적용방법에 관한 연구 -나주시 공공자전거 시스템을 중심으로-)

  • Hyoung, Sung-Eun;Cho, Un-Dae;Cho, Kwang-Su;Hong, Jung-Pyo
    • Science of Emotion and Sensibility
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    • v.14 no.1
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    • pp.7-16
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    • 2011
  • This is a study on operation system's application method for leading-in public bike operation system through researching on case study at home and abroad, and situation research in Naju city. In the 1st research, studied about the main problems showed at application cases of public bike system at domestic and overseas, such as using time, danger for be stolen and damaged. 2nd research focuses on necessarily of leading-in operation system to be used easily by city residents and travelers of Naju City which is the scheduled city for leading-in public bike system. 3rd research is on the basis of the result showed in 1st and 2nd research, supplied some problems' solving method for France Veblib System, such as lending and rental process using mobile, system operation process, communication process. Also, supplied the application method for problems showed at 1st and 2nd research and civil service proposal. The leading-in method study on public bike operation system was done through above research, also case study at home and abroad, situation study, and rental program module development, and this operation system is worked as an model operation system in Naju City. The future study of leading-in operation system will be more effective by means of summing up test running result.

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