• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.866-867
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• 2024

QR 코드는 정부에서 지원하는 자전거 사업, wifi, 장비 및 공공기관 등의 관리 등 여러 분야에서 실생활과 밀접하게 쓰이고 있다. 하지만 QR 코드는 대체적으로 외부에 노출되어 있으며 이로 인한 훼손, 변조 등의 위험이 있다. 해당 연구에서는 위에 제시된 문제점을 개선하기 위해 플랫폼마다의 QR 코드의 규칙을 찾아내어 변조에 대한 위험을 줄이고 복구율을 높여 훼손에 대한 허용 범위 등의 개선을 기대한다.

• International Journal of Highway Engineering
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• v.20 no.4
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• pp.47-58
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• 2018

PURPOSES : Seoul introduced public bicycles to reduce environmental pollution and create a healthy society. Because the use of bicycles is highly weather dependent, and bicycles are rented by the people, member characteristics and seasonal influences should be considered. This study analyzed bicycle traffic characteristics considering seasonal and member characteristics and highlighted some implications. METHODS : The Yeouido and Sangam districts, which have multiple business districts, were taken as the areas of interest. In order to reflect seasonal and membership characteristics, the traffic volume, time of use, and characteristics of each zone were categorized by season (spring, summer, autumn, winter) and membership type (season, daily, group). In addition, we analyzed the pattern of traffic volume and usage time according to the traffic purpose after separating rental locations into residential, business, subway, and park, reflecting the land characteristics. RESULTS : The results revealed that seasonal characteristics were high for bicycle traffic, time of use, and occupancy rate for park locations in spring and autumn. In terms of membership characteristics, group and daily users appeared as major visitors for park locations, and the trends of commuter pass users showed that bicycle use meets the purpose of introducing public bicycles. CONCLUSIONS : Traffic characteristics differed according to seasonal and membership characteristics. It is necessary to involve and extend the users of the commuter pass. Situations in which commuter pass users cannot function as a group or in which daily users monopolize bicycles (especially near parks, near subway stations, etc.) must be avoided.

• 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.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.40-40
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• 2019

시민인식은 하천관리를 포함한 공공정책 수립에 결정적 요소들 중 하나로 강조되고 있다. 따라서 하천관리체계의 변화에 따른 사회적 하천관리에 미치는 영향을 파악하고, 특히 우리나라 물관리 일원화 후 하천의 이용과 관리 및 정책에 대한 시민 인식을 조사하는 것은 향후 하천 정책 수립에 매우 중요하다. 본 연구의 목적은 하천의 이용, 관리(주체), 정책, 기후변화 등에 대한 시민의 관심도와 만족도를 조사하는 것이다. 이번 설문 대상은 전국의 남녀 4,500명(10대~60대)이었으며 패널 참여 방식으로 조사되었다. 설문 문항의 구성은 크게 하천 이용, 하천 관리, 그리고 물관리 일원화와 기후변화 등을 포함한 하천정책 등으로 3대 주제로 세부 문항들이 개발되었다. 설문조사의 주요 결과는 조사대상 시민들의 약 22.9%는 매주 하천을 방문하는 것으로 분석되었으며, 1년간 1번은 하천을 방문(이용)하는 시민들은 85.5%로 나타났다. 자주 방문하는 하천의 규모 혹은 위치는 중(中)하천이 42.2%로 가장 높았고, 대(大)하천은 23.9%, 소(小)하천은 17.5%, 도랑이나 개울은 15.5%로 나타났다. 기타(0.9%)로는 하천 외에도 물을 접할 수 있는 저수지, 인공하천 및 호수공원 등을 이용하는 것으로 나타났다. 하천 방문자 중 최소 2시간을 체류하는 시민 중 약 96.4%는 걸어서 하천을 접근하고, 지하철을 이용하여 하천을 접근하는 방문자는 최소 1시간에서 2시간 이상을 체류하는 것으로 조사되었다. 조사대상 시민들은 하천관리 중에서 접근 편의성(28.4%), 친수시설(자전거 도로, 산책로 등) 관리(24.2%), 수질관리(9.9%)로 만족하는 것으로 나타났다. 반면에 수질(27.4%, WQ(water quality))과 냄새 및 쓰레기(25.5%, OW(odor and waste))가 가장 높게 하천관리의 불만족도를 가지고 있었다. 기후변화 영향에 대한 시민들의 관심도는 WQ (29.6 %), OW (17.7%), 그리고 물부족 (15.1%)의 순서로 조사되었다. 하천의 바람직한 미래상에 대한 관심도는 깨끗한 수질의 하천(36.1%, WQ), 휴식과 산책을 즐길 수 있는 하천(22.9%), 다양한 동 식물의 생태서식공간(14.6%)의 순으로 나타났다. 또한 시민들은 하천관리 기관의 가져야할 역량은 '전문성'이 가장 중요하게 인식하고 있는 것으로 조사되었다. 우리나라 물관리 정책 중 가장 큰 문제로 우선순위 1~3순위 누적 조사 결과, 수질악화(79.9%, WQ), 하천 수생물 훼손(49.6%), 정부부처 간 협력부족(37.6%)으로 인식하는 것으로 나타났다. 끝으로 2018년 추진된 물관리 일원화 후 정부의 물관리 및 하천 정책에 대한 시민들의 관심도는 WQ (46.0%), 물공급 관리 (17.6%), 그리고 생태계 복원 (8.4%)의 순서로 조사되었다. 본 연구의 결론들 중 하나는 현재와 미래 하천에 대한 가장 높은 시민들의 수요는 깨끗한 수질과 생태서식공간이었으며 이는 향후 하천 정책 수립에 있어서 중요한 기초가 될 것으로 전망된다.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.1
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• pp.35-45
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• 2020

This study focused on the park as a space to support the behavior of urban citizens in modern society. Modern city parks are not spaces that play a specific role but are used by many people, so their function and meaning may change depending on the user's behavior. In addition, current online data may determine the selection of parks to visit or the usage of parks. Therefore, this study analyzed the change of behavior in Yeouido Park, Yeouido Hangang Park, and Yangjae Citizen's Forest from 2000 to 2018 by utilizing a time series analysis. The analysis method used Big Data techniques such as text mining and social network analysis. The summary of the study is as follows. The usage behavior of Yeouido Park has changed over time to "Ride" (Dynamic Behavior) for the first period (I), "Take" (Information Communication Service Behavior) for the second period (II), "See" (Communicative Behavior) for the third period (III), and "Eat" (Energy Source Behavior) for the fourth period (IV). In the case of Yangjae Citizens' Forest, the usage behavior has changed over time to "Walk" (Dynamic Behavior) for the first, second, and third periods (I), (II), (III) and "Play" (Dynamic Behavior) for the fourth period (IV). Looking at the factors affecting behavior, Yeouido Park was had various factors related to sports, leisure, culture, art, and spare time compared to Yangjae Citizens' Forest. The differences in Yangjae Citizens' Forest that affected its main usage behavior were various elements of natural resources. Second, the behavior of the target areas was found to be focused on certain main behaviors over time and played a role in selecting or limiting future behaviors. These results indicate that the space and facilities of the target areas had not been utilized evenly, as various behaviors have not occurred, however, a certain main behavior has appeared in the target areas. This study has great significance in that it analyzes the usage of urban parks using Big Data techniques, and determined that urban parks are transformed into play spaces where consumption progressed beyond the role of rest and walking. The behavior occurring in modern urban parks is changing in quantity and content. Therefore, through various types of discussions based on the results of the behavior collected through Big Data, we can better understand how citizens are using city parks. This study found that the behavior associated with static behavior in both parks had a great impact on other behaviors.