• Journal of Korea Society of Industrial Information Systems
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• v.25 no.3
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• pp.39-51
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• 2020

This study will examine the social issues and consumer awareness of sharing parking through the method text mining. In this experiment, the topic by keyword was extracted and analyzed using TFIDF (Term frequency inverse document frequency) and LDA (Latent dirichlet allocation) technique. As a result of categorization by topic, citizens' complaints such as local government agreements, parking space negotiations, parking culture improvement, citizen participation, etc., played an important role in implementing shared parking services. The contribution of this study highly differentiated from previous studies that conducted exploratory studies using corporate and regional cases, and can be said to have a high academic contribution. In addition, based on the results obtained by utilizing the LDA analysis in this study, there is a practical contribution that it can be applied or utilized in establishing a sharing economy policy for revitalizing the local economy.

• Transportation Technology and Policy
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• v.13 no.6
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• pp.84-96
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• 2016

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.163-175
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• 2024

This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.4
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• pp.545-554
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• 2024

Sustainable development is recognized as the direction humanity should pursue, and transportation policies also aim to achieve sustainability by efficiently utilizing limited resources. Among them, parking policy is an important task that requires strategic implementation for sustainable transportation development in many cities. Shared parking is actively being considered for the efficient utilization of existing transportation facilities. In this study, we analyzed major influencing factors using a structural equation model to promote shared parking and derived policy implications accordingly. The most influential latent variable on shared parking preference was donation experience, followed by satisfaction with public transportation and satisfaction with existing sharing policies. The preference for shared parking was found to have a virtuous cycle effect on social value as it influenced the spread of shared value. In the end, the implementation of the parking sharing policy will improve the visible traffic environment. However, it is evident that the impact of promoting invisible shared values is more significant. In other words, the main implication of this study is that to implement the parking sharing policy effectively, more emphasis should be placed on recognizing the shared value and promoting the awareness of sustainable development.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.263-264
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• 2020

현재 국내 자동차의 증가에 따른 주차 공간이 부족하여 주차문제가 사회문제로 커지고 있다. 본 논문에서는 주차문제 해결을 위해서 스마트 공유 주차장 시스템을 제안한다. 이 시스템은 기존 주차장에 IoT 장비를 설치하고 운영하여 주차장 활용을 최대화한다. 시스템의 빠른 개발 및 활용도를 높이기 위해서 클라우드 플랫폼을 사용하며 사용자용 스마트폰 앱을 제공할 것이다. 사용자는 앱을 통해서 근거리에 있는 주차장을 선택하여 주차 자리를 예약할 수 있다. 논문에서 실제 주차장 공간에 IoT 장비를 설치하여 실험을 진행할 예정이다. 실험을 통해서 제안하는 시스템의 가능성을 검증할 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.541-543
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• 2021

Recently, the number of cars owned in Jeju Island and the use of tourist rental cars have been increasing rapidly. Therefore, parking problems are getting worse in residential and commercial areas. As a result, a system is required to secure parking spaces and utilize existing parking spaces. Therefore, this paper proposes a system for real-time sharing of free public and paid parking spaces by introducing services that provide information on nearby restaurants, tourist information, and real-time parking status. The system analyzes infrared sensors and CCTV images installed in the actual parking lot and provides convenience for service users by analyzing the space currently in use and the number of unused parking spaces in real time.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.4
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• pp.63-72
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• 2014

With the rapid development in the economy and other fields as well, the standard of living in South Korea has been improved, and consequently, the demand of automobiles has quickly increased. It leads to various traffic issues such as traffic congestion, traffic accident, and parking problem. In particular, this illegal parking caused by the increase in the number of automobiles has been considered one of the main reasons to bring about traffic congestion as intensifying any dispute between neighbors in relation to a parking space, which has been also coming to the fore as a social issue. Therefore, this study looked into Daejeon Metropolitan City, the city that is understood to have the highest automobile sharing rate in South Korea but with relatively few cases of illegal parking crackdowns. In order to investigate the theoretical problems of the illegal parking, this study conducted a decision-making tree model-based Exhaustive CHAID analysis to figure out not only what makes drivers park illegally when they try to park vehicles but also those factors that would tempt the drivers into the illegal parking. The study, then, comes up with solutions to the problem. According to the analysis, in terms of the influential factors that encourage the drivers to park at some illegal areas, it was learned that these factors, the distance, a driver's experience of getting caught, the occupation and the use time in order, have an effect on the drivers' deciding to park illegally. After working on the prediction model, four nodes were finally extracted. Given the analysis result, as a solution to the illegal parking, it is necessary to establish public parking lots additionally and first secure the parking space for the vehicles used for living and working, and to activate the campaign for enhancing illegal parking crackdown and encouraging civic consciousness.

• Journal of Korean Society of Transportation
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• v.26 no.3
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• pp.223-232
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• 2008

It can be expected, recently, that the traffic congestion grows worse because the 48% of passenger cars are concentrated in the metropolitan area. However, there is an enforcement regulation that must limit onsite parking lot establishment in some downtown, so it is forecasted that parking lot supply is insufficient. Therefore, this study concentrate upon the subject that solves the problem which drivers are difficult to find parking lots because of increasing demand for parking. This study includes the concept about walking distance because the choice of parking lots is happened within walking distance. The algorithm of this study applies to toy-network, and then this study analyze the result of toy-network. It is proper to consider user's preference because the patterns of choice are different. Moreover, this study suggests the vision that will can offer drivers more correct information by real time information sharing in course of ubiquitous age.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.119-137
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• 2020

Over the last two decades, the attitudes to cars have changed from buying a car to sharing a car, especially among young people. Shared transport services and autonomous vehicles together can resolve the accessibility issue of shared transport services. Furthermore, they will make it possible to develop a new model of apartments without car parking. Therefore, the study estimated the demand for car sharing by young people and the running efficiency of car-sharing dealing with their car-based trip demand. The study chose nine apartment complexes for study sites where a majority of the residents were young people. The questionnaire survey was conducted to collect data on the trip demands of young people. The results showed that there are significant differences in the car-sharing use patterns and demand between the apartment houses located in the Capital region and non-capital region. Young people living in apartments in the Capital region used car sharing once per day per person for approximately 80 minutes per trip and tended to hire that between 8 AM and 10 AM. On the other hand, the young people living in apartments in the non-capital region used car sharing twice per day per person for approximately 200 minutes per trip. They tended to hire that frequently in the afternoon and evening as well as in the morning. The results also showed that a single car-sharing vehicle could deal with 3~4 trips per day in the Capital region and around 2 trips per day in the non-capital region.

• Journal of Service Research and Studies
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• v.9 no.3
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• pp.17-38
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• 2019

With recent dispersion of sharing economy, consumption culture of sharing, instead of ownership, gets wide spread in the age groups of 20-30. Even though the market of car sharing expands rapidly, little research has been done in the area of service quality and consumer behavior regarding car sharing services. Given that future market potential gets larger, it seems highly meaningful to conduct research on customer satisfaction and their usage behavior regarding car sharing services. This paper intends to analyze main factors affecting overall customer satisfaction on car sharing services; satisfaction on service quality, satisfaction on service product, and satisfaction on service experience. Each dimension of the three factors is also analyzed to see if there is any differences between major three brands. Further analysis has been done for checking any effects of gender and usage purpose of customers on the overall customer satisfaction. Key results of the analysis show all the three main factors have significant effect on overall customer satisfaction. Each dimension of service quality has significant effect on satisfaction on service quality. Dimensions of parking lot accessability and vehicle maintenance in service product evaluation, have greater effect on satisfaction on service product. In service experience, positive affect have greater effect than negative affect on satisfaction on service experience. Women users perceive larger overall customer satisfaction on car sharing services than men users. On the types of usage purpose, Users with purpose of tour and dating/meeing friends perceive larger overall customer satisfaction on car sharing services than user without it. Further managerial implications of car sharing services are also provided.