• Journal of Korean Society of Transportation
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• v.34 no.1
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• pp.43-54
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• 2016

Although there are continuous demands for activating BSSs(Bicycle Sharing Systems) due to the convenience and positive health effects, it is difficult to make a decision to support the existing systems and build more systems because of the deficit resulting from the operation of BSSs. Consequently, this study estimated the economic effects(WTP; Willingness to Pay) of BSS and analyzed the impact factors of WTP to support the above decision making in Daejeon. For this, we conducted a survey and collected 668 samples from the users and non-users of TASHU that is the BSS operated in Daejeon. Also, we used CVM(Contingent Valuation Method) for the estimation of WTP. The results show that the number of bicycle uses is a determinant factor having a positive relationship with WTP and car ownership and age are also determinant factors having a negative relationship with WTP. On the other hand, income and sex have no significant statistical relationship with WTP. Also, the economic benefit of TASHU was estimated as much as 49.9 billion KRW to 63.6 billion KRW. Considering the operation cost of 2.5 billion KRW, it is quite big benefit. Based on the results, it needs to support TASHU from a user perspective for the efficient operation of the system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.945-950
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• 2006

In implementing transportation projects, benefits have been estimated using conventional benefit components. However, these components have a lot of assumptions and limitations for benefit estimations and thus it seems to be difficult to obtain values of parameters as well as to overlook benefits of non-market goods in calculation process. In other words, current benefit estimations are considered that can be solely measured by directly depending on traffic volumes. Existing economic analysis do not reflect the full benefits, including direct and indirect of the project implementations. To illustrate this fact, bicycle road construction can result in various functional benefits, including improved quality of life, balanced regional development, and good scenery composition. These benefits can not be explained with conventional economic analysis. The objective of this research is to estimate valuation of bicycle road construction using Contingent Valuation Method (CVM). CVM can evaluate user's direct willingness-to-pay as well as maximize bicycle utilization with balanced regional development. This research used the coastline bicycle road construction project for example. The proposed method can be well calculated or estimated benefits for non-market goods of bicycle road constructions using CVM.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.93-102
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• 2011

The Korean government recently has focused on variety of policies to promote the use of bikes to control the emission of carbon. However, bike facilities with no regard to the safety and comfort of bike drivers has made inefficient bike roads. Also, the accidents related to bikes have increased rapidly. This study proposes the proper types of the bike roads considering land use and bike driver characteristics. The elements classifying the bike driver characteristics are driven through oneway ANOVA and cluster analysis. It is found that the types of the bike roads can be classified by the ratio of child and elderly bikers and the ratio of heavy trucks. Also, the each type is characterized by the land use types such ad residential, commercial and industrial areas through cluster analysis. According to the results of the cluster analysis, installation of bike roads in residential area needs to consider convenience and safety simultaneously. It is also found that convenience should be the most considerable factor in commercial area. Lastly, safety should be considered in industrial area. Recommended methodology and bike road type based on the land use and bike driver's characteristics can be useful to develop bike-friendly environments and increase mode share of bikes.

• Journal of Korean Orthopaedic Sports Medicine
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• v.9 no.1
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• pp.58-64
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• 2010

Purpose: Bicycle riding is an increasingly popular sports and leisure activity in Korea. The aim of this study was to identify injury patterns of admitted patients who were injured from bicycle riding. Materials and Methods: This study examined 71 patients from Jan. 2008 to May 2009. There were 54 male and 17 female patients. We investigated the injured body parts, mechanisms of injury, location of injury, types of bicycles, purpose of bicycle riding, any concomitant luggage or passenger on rear seat, injury seasons and the helmet use. We analyzed the data using Injury Severity Score(ISS). Results: There were 11 cases of ISS 1, 41 cases of ISS 4, 2 cases of ISS 5, 13 cases of ISS 9, one case of ISS 13, two cases of ISS 16 and one case of ISS 29 among the 71 patients. 36 patients(50.7%) underwent surgery for upper and lower extremity injuries, two patients for vertebral body fractures, 8 patients for facial bone injuries and one patient for abdominal organ injury. There were 10 head injuries among whom three patients received treatment in ICU(4.2%). Conclusion: Bicycle riding can cause severe injuries with subsequent admission and major surgeries. Several measures including constructing more bicycle road, public campaign and wearing protective gears should be instituted.

• Spatial Information Research
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• v.20 no.3
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• pp.83-93
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• 2012

Recent environmental concerns have made interest in environment-friendly transportation means such as walking, biking, and public transportation. However, since it is difficult to move long distance by walking or biking, their scope of application is rather limited. On the other hand, public transportation can solve traffic congestion, a recent social issue, though its usability may depend on its time schedule. Currently available information services on public transportation in the Web do not reflect well such traits of the public transportation; thus, in some cases, they may provide wrong information to end users. To solve such problems and provide information based on timetable of public transportations, this paper proposes a STP(Space Time Point) data model. Unlike existing space-time data models, this model recognizes the bottommost element of an object as a point and structures these points in hierarchical way to define an object. In particular, It can make it possible to implement a variety of dynamic spatial objects changing object information according to time. An objective of this study is to design a STP model for bus and subway based on timetables of public transportation in Daejeon area and builds a system to provide path navigation. With the designed navigation function, a path from the Daejeon National Cemetery to Hannam University was searched by time slot. The result showed that the system provided different paths by time, as the system guided different paths when bus operation was limited in midnight. As existing data model could not provide such results, it is confirmed that the system can provide path navigation based on real-time traffic information. It is expected that based on such functionality, it is possible to provide additional functionalities by applying diverse data models such as real-time transport information or traffic history information.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1046-1047
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• 2008

실시간 대중교통 종합 환승정보(TAGO)시스템은 대중교통 이용자 중심의 서비스제공을 목적으로 교통 수단간 환승 정보를 제공하고 있다. TAGO는 항공, 철도, 버스(시외/시내/고속), 지하철 등 대중교통 뿐 아니라 자가용, 자전거 이용자의 환승을 고려한 정적/동적 운행정보, 소통 정보를 연계하여 통합하고, 네비게이션 서비스, 지역정보 서비스, 돌발 상황, 날씨 정보, 통계 정보를 인터넷 TAGO 홈페이지(www.tago.go,kr)와 환승 지점에서의 현장안내장비(Kiosk, PDP)를 통해 제공하고 있다. 현재 TAGO는 3차 사업이 진행 중이며 전국 단위 장거리 교통수단과 지역내 단거리 교통수단의 교통정보를 연계하여 효율적인 환승정보를 제공하여 대중교통 이용 활성화에 기여하고 있다. 미래의 TAGO 시스템은 유비쿼터스 시대의 신개념 교통정보 제공을 위한 확장성을 고려하여 서비스 범위를 확대하며, 다양한 매체를 통해 전국 어느곳에서든 출발지부터 목적지까지 교통수단의 선택, 경로안내, 환승정보, 지역정보 등을 제공할 계획이다.

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

• 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.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.301-310
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• 2020

The purpose of paper is to find index for building digital database of bike infrastructure statistics by analyzing the existing design standards and manuals. The design standards and guides of both central and local governments which designates the design elements of bikeway were investigated to find the primary index, and then the attribute data of bikeway were grouped into four categories including transportation, geometry, pavement, safety and utility facility, and were analyzed to find the secondary index. A FGI(Focus Group Interview) was conducted with experts in the arena of transportation to collect the opinions on the selected index. It is found that the final twenty four design elements were selected and additional six elements were added. The proposed twenty four index of bikeway design elements are considered to be included when building the digital bikeway register database.

• International Journal of Highway Engineering
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• v.13 no.4
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• pp.211-220
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• 2011

TOD(Transit Oriented Development) has recently been active, which presents that TOD planning elements should be comprehensively taken into consideration in order to enhance domestic transit ridership by changing environments in rail station areas and an empirical analysis on the type of rail station areas and transportation demand should be a prerequisite for usage of future development planning. This study aims to grasp a variety of TOD of influence factors in Seoul rail station area and to perform analysis to identify relationship between public transportation demand and these TOD design factors. To make it come true, we gathered data with respect to Density, Diversity, and Accessibility as representative TOD planning elements and carried out factorial and regression analysis. Consequently, we drew 7 influence factors base on factorial analysis: Factor 1(Diversity/ -Use Mix(LUM)), Factor 2(Density/development density), Factor 3(Accessibility/public transportation facility supply), Factor 4(Design/street design), Factor 5(Green/access mode (pedestrian, bike), Factor 6(Design/subway size), Factor 7(Accessibility/Public transit operation) As the result of model development by using factorial and regression analysis, positive influence factors on passenger flow in rail station area are Factor 1(Diversity : Land-Use Mix), Factor 3(Accessibility : public transportation facility supply), Factor 2(Density : development density), Factor 5(Design/ access mode) and Factor 6(subway size) Next, negative influence factor on passenger flow in rail station area shows Factor 7(Accessibility/Public transit operation) as the most influential factor. This is because the growth of service interval of linked subway and bus leads to reduced demand.