• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.263-265
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• 2022

공유 모빌리티 시장의 발전으로 인해 공유 전동킥보드 사용자의 수가 증가하고 있다. 하지만 무분별한 공유 전동킥보드 주차와 방치 문제가 있어 안전한 도시 환경에 위협이 되고 있다. 이를 해결하기 위해 본 연구는 블록체인 기반의 시민 참여형 공유 전동킥보드 관리 모델을 제안한다. 공유 전동 킥보드 회사들은 스마트 컨트랙트를 통해 사용자의 공유 전동킥보드 반납 내역을 기반으로 신뢰 점수를 관리하고 공유한다. 사용한 공유 전동킥보드를 올바르게 주차 및 반납을 하여 높은 신뢰 점수를 갖는 사용자에게 인센티브를 지급하여 사용자가 스스로 전동킥보드를 잘 주차하도록 유도한다.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.7
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• pp.217-226
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• 2023

As the use of shared electric kickboards is rapidly increasing, there are many cases of illegal parking of shared mobility. In order to solve this problem, local governments are taking measures such as towing illegally parked shared electric kickboards, but user management is not considered and the methods are inefficient. Accordingly, in this paper, we propose a blockchain-based shared electric kickboard user management model. The shared electric kickboard is equipped with a camera sensor and GPS that can check the parking status, and when the user ends the use of the shared electric kickboard, information on the parking status is collected through the installed sensors and the shared electric kickboard company You can check if the user has parked correctly. In addition, trust points are given according to the user's parking history and incentives are provided according to the trust points, inducing users to return the shared evangelism kickboard correctly. The information is shared through the consortium blockchain in which shared electric kickboard companies participate, enabling integrated user management of shared electric kickboard companies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.97-102
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• 2021

As the demand for shared-type electric kickboards increases day by day, various companies in Korea are also providing shared-type electric kickboard rental services. With the rapid growth of related fields, users can easily rent shared electric kickboards in the vicinity, but management after use is not performed properly due to the absence of a designated rental station, and It is a situation that electric kickboards are being damaged. For this reason, citizens' perception of shared electric kickboards has changed negatively, and it is said that the service of shared electric bicycles is limited in some cities. Therefore, in this paper, we propose a user filtering system that extracts Black Consumers that can negatively affect the rental system through indiscriminate use. When this system is introduced, it is expected that safe electric kickboard use and management will be possible.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.51-61
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• 2023

Travel demand estimation of E-Scooter is the start point of solving the regional demand-supply imbalance problem and plays pivotal role in a linked transportation system such as Mobility-as-a-Service (a.k.a. MaaS). Most focuses on developing trip generation model of shared E-Scooter but it is no study on selection of an appropriate zone scale when it comes to estimating travel demand of E-Scooter. This paper aimed for selecting an optimal TAZ scale for developing trip distribution model for shared E-Scooter. The TAZ scale candidates were selected in 250m, 500m, 750m, 1,000m square grid. The shared E-Scooter usage historical data were utilized for calculating trip distance and time, and then applying to developing gravity model. Mean Squared Error (MSE) is applied for the verification step to select the best suitable gravity model by TAZ scale. As a result, 250m of TAZ scale is the best for describing practical trip distribution of shared E-Scooter among the candidates.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.40-53
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• 2021

Recently, shared dockless e-scooter usage has rapidly increased, rather than the station-based shared mobility service, because of convenience. This transition leads to new social problems in urban areas such as increased traffic accidents and hindrance of pedestrian environments. In this study, we analyze the usage characteristics of shared e-scooters in Seoul, and identify factors influencing demand for shared e-scooters by developing a negative binomial regression model. As a result, the usage characteristics show that the average trip distance, the average trip duration, and the average trip speed were 1.5km, 9.4min, and 10.3km/h, respectively. Demographic factor, transport facility factors, land use factors, and weather factors have statistically significant impacts on demand for shared e-scooters. The results of this study will be used as basic data for suggesting effective operation strategies for areas with higher shared e-scooter demand and for establishing transport policies for facilitating shared e-scooter usage.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.173-186
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• 2022

The purpose of this study is to investigate the influence of gamification strategies on improving participation and motivation of shared electric scooter users. To this end, this study derived the user type through the first research question of how the shared electric scooter usage behavior and pulse are, and derived user tasks and scenarios. The second research question, a shared electric kickboard app with gamification, was tested by users to see if it helps increase user participation and form motivation. As a result of the analysis, it was found that users were induced to be considerate of other users by using a combination of the motivational, relational, and self-expression strategies of gamification. Second, it was found that the use of motivation, achievement and reward, and reward visualization strategy elements promotes user's voluntary behavior. Third, through relationship, achievement, and reward strategies, users participated to create a positive culture of shared electric scooters, drawing immediate feedback, indicating that convenience has increased. In conclusion, it was found that the user helped to play a positive role in voluntary participation and motivation through the use of the shared electric kickboard service with gamification.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.131-142
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• 2023

In this paper, we propose a new station selection algorithm to solve the illegal parking problem of shared electric scooters and improve the service quality. Recently, as a solution to the urban transportation problem, shared electric scooters are attracting attention as the first and last mile means between public transportation and final destinations. As a result, the shared electric scooter market grew rapidly, problems caused by electric scooters are becoming serious. Therefore, in this study, text data are collected to understand the nature of the problem, and the problems related to shared scooters are viewed from the perspective of pedestrians and users in 'LDA Topic Modeling', and a station extension algorithm is based on this. Some parking lots have already been installed, but the existing parking lot location is different from the actual area of tow. Therefore, in this study, we propose an algorithm that can install stations at high actual tow density using mixed clustering technology using K-means after primary clustering by DBSCAN, reflecting the 'current state of electric scooter tow in Seoul'.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.260-261
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• 2023

공유 전동킥보드의 사용이 증가함에 따라, 불법 주차와 같은 문제점이 발생하고 있다. 시민들의 안전을 위협하는 문제를 해결하기 위해 CNN 모델 기반의 공유 전동킥보드 주차 판단 시스템을 구현하였다. 공유 전동킥보드에 탑재된 카메라, 기울기 센서를 통해 주차 상태를 판단하고, solidity와 python의 web3.py를 이용하여 컨소시엄 블록체인을 설계하였다. 주차 판단 기준이 되는 요소를 추가하고 가중치를 부여함으로써 신뢰 점수 식을 개선하였다. 본 논문에서 제안하는 모델을 통해 이용자의 자발적인 반납과 회사들의 효율적인 관리를 유도할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.281-282
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• 2022

현재 전동 킥보드 헬멧 미착용으로 인한 사고가 끊임없이 야기되고 있다. 개인형 이동장치 이용자 수가 증가함에 따라 법 개정을 통하여 헬멧 착용이 의무 사항이지만 여전히 낮은 착용률을 나타내고 있다. 본 논문에서는 모든 공유 킥보드 회사에서 사용 가능한 딥러닝 기반의 전동킥보드 헬멧 착용 인식시스템을 제시한다. 타 공유 전동킥보드 회사 앱에서 본 논문의 결과물을 사용할 때는 사용자가 타사 앱에서 헬멧 인식 요청 시 자사 앱에서 헬멧 착용 여부를 인식하여 결과를 전송한다. 자사 앱 사용자는 인식 기록을 조회할 수 있고, 타사 관리자는 사용자의 정보를 조회 및 관리할 수 있다. 본 시스템을 통해 전동킥보드 이용 시 헬멧 착용을 장려하여 착용률 증가와 사고 시 인명피해 감소를 기대한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.189-194
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• 2021

With the recent increase in the proportion of single-person households, starting in 2016, the domestic shared personnel mobility market such as electric kickboards and electric wheels has grown rapidly. Personal transportation means such as electric kickboards are power devices using electricity and are eco-friendly, lightweight, and do not occupy a separate parking space. Above all, it has the advantage of being convenient to travel short and medium distances, so it has been able to obtain a lot of demand from younger users who pursue reasonable consumption, and accordingly, the related market has grown rapidly. However, as absence of the charging station for electric kickboards, electric kickboards are left everywhere on the road, and are emerging as a threat to safety as well as aesthetics. Therefore, this paper aims to research and propose a new IoT management system for efficient recovery of shared electric kickboards. Through this system, it is expected that the high recovery rate of the electric kickboard can be maintained, and in conclusion, the safety of the user and the surrounding environment can be improved.