• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.49-59
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• 2017

In this study, We analyzed the characteristics of carsharing use and revealed the environmental factors influencing carsharing use using the records of carsharing had been operated in Incheon during 2016. The records show a higher ratio of male users, a big portion of 20s and 30s, and ascending trends in the use of elderly people and short distances compared to the past. We analyzed the relationship between carsharing use and neighborhood environmental factors using the negative binomial regression model. It was found that carsharing was more active in areas where have many public transportation users and higher portion of residential buildings. Therefore, it was concluded that these areas can be suitable candidates for placing new carsharing rental sites to expect more active carsharing use.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.1-11
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• 2016

The purpose of this study is to analyze the effect of public transit accessibility on the Carsharing use demand. By utilizing the rental historical DB of Greencar which is operated in Suwon city and public transit GIS DB, the use demand models for Carsharing by rental offices are built and analyzed in accordance with public transit accessibility. The result indicates 73% of walking as a majority, 3% cycling, and 20% using buses and urban railways to access Carsharing rental offices. The goodness of fit of Carsharing use models reflecting accessibility to buses and railways is verified as 0.818 which proves that public transit accessibility is a significant variable. Therefore, it is verified that installing Carsharing rental offices where public transit transfer is convenient can possibly increase the use demand. Especially, while accessibility to buses is verified as a significant variable out of other public transit means, the accessibility to urban railways is verified as not significant. This suggests that a variety of complementary policies such as transfer discount policy and one-way transfer return policy are necessary in between urban railways and Carsharing in order to promote mutual use demand in accordance with the other public transit means. This study result is yet the basic research on Carsharing, however it is expected to contribute to improvement of transfer demand in between different public transit means.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.19-25
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• 2019

Recently a number of car sharing studies have been conducted that share vehicles from a consumer perspective. Meanwhile, Japan's MLIT had empirically implemented social experiment and policy for the installation of sharing car in order to make better use of the business forms and rapidly increasing car sharing associated with express bus as a new type of transaction from a sharing economy perspective. Therefore, this study examined the case of connecting with the express bus in Japan and analyzed and discussed the contents at the practical level. In addition, data collected for 229 car sharing users were verified empirically. The multiple liner regression analysis showed that three types of perceived values effect on the usage intention in the order of economic value, time value and psychology value. These findings suggest that car sharing users' perceived values are very important for increasing the degree of satisfaction with usage intention.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.93-105
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• 2024

Car-sharing is a representative model of the sharing economy, and it is a service that rents or uses a car for the necessary time without owning a car. This industry is growing due to various factors such as technological advances, increasing awareness of environmental protection, and increasing demand for solving traffic congestion problems in cities. Accordingly, there is a need for a strategic approach for companies providing car-sharing services to respond quickly to market changes in order to expand market share and differentiate services. Accordingly, this study conducted a case study on open innovation activities between Gongcar and existing rental car companies, focusing on the research question "What effects do open innovation activities between car-sharing companies and existing rental car companies cause?" As a result of the study, it was confirmed that Gongcar have (1) the ability to actively respond to market fluctuations by establishing a flexible vehicle supply chain based on demand, (2) have significantly reduced growth capital expenditure (Growth Capex), and both cafe and rental car companies have (3) performed successful open innovation by improving key KPI indicators and recording financial performance. This study reveals how open innovation acts as a key business growth engine in the car-sharing industry, and its significance is found in that it empirically confirmed the successful implementation conditions of open innovation based on resource dependence theory.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.93-108
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• 2016

Electric vehicle car sharing (EV-sharing) system is noted as an eco-friendly system of transportation in global warming crisis and has been practically implemented in some cities around the world. However, methodologies to find the efficient operation conditions of EV-sharing systems reflecting a typical characteristic 'charging' have not been fully investigated yet. In the paper a generalized model has been developed to identify optimal level of infrastructure for EV-sharing system which provides the optimum operation efficiency under service level constraints. From the simulation analysis based on the developed model the relationships between the operational variables to describe EV-sharing system have been identified and optimal capacity to maximize the operational efficiency have been found. From the analysis of simulation results it has been found that increases in the number of vehicles and chargers improve the service level until certain value beyond which increasing rate and the efficiency have been reduced. From the cost-revenue analysis the optimal numbers of vehicles and chargers have been identified which maximizes the annual operational profit.

• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.4
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• pp.10-17
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• 2015

Currently, there are increasing demand for researches on the development of car-sharing operating strategy. In order to carry out the research, demand for car-sharing is required. However, since previous researches only adopted performance data or demand derived from several assumptions, spilled demand has been spotted due to lack of available cars. For this reason, we plan to suggest the way to estimate the value including spilled demand which has been spotted previously based on the record of utilization on the website of operating company, actual company providing car-sharing service. In the case of 'LH Happycar Service', difference between estimated demand and record of utilization is about twice the difference between estimated demand and record of inquiry. Especially, it is found that service rate does not go above once it reaches to its maximum rate because it cannot satisfy additional demands. In short, when we evaluate the demand for individual station based on the record of utilization only, it would be possible to underestimate the demand especially for the station at full capacity.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.127-133
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• 2018

In recent years, the interest and importance of the sharing economy is increasing, and car sharing services are being activated. This study examined the effect of shopping value perceived by consumers on brand loyalty and intention to use the car sharing service. The purpose of this study is to identify the effects of these relationships on utilitarian and hedonic shopping values. To verify this, data were collected from 364 car sharing users and analyzed using structural equation modeling. As a result, both utilitarian shopping value and hedonic shopping value had a positive effect on brand loyalty. Brand loyalty had a positive effect on intention to use. Therefore, this study can confirm that the use situation of car sharing service is a theoretical and practical point in suggesting shopping value considering consumption attribute. This implies that a consumer-oriented approach to the sharing economy is needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8791-8799
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• 2015

In this paper, One-way car-sharing System represents the verification system consider events in revenue effects. Revenue which the time and distance represented the graph, compare one-way vehicle relocate car-sharing system which proven in existing international papers with one-way vehicle relocate car-sharing system consider the event currently in the Korea. Especially, The maximum profit according to the distance and time were assessed through multiple linear regression analysis, and there are probable maximum loss allow for the maximum loss. The company suggested using the event as a discount coupon to customers through various marketing strategies, and then focused on increasing customer demand. So, Correlation analysis to determine the maximum revenue of the actual travel distance and time were carried out through Non-linear Regression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.47-60
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• 2017

Car sharing, which is considered as a good example of innovation in the transportation sector, is a type of use in which a plurality of people share a single vehicle for a short period of time. It is divided into various types, NFP (Not For Profit) operated by a non-profit organization, B2C (Business to Customer), which is operated by a company, and Peer to Peer (P2P), which is directly connected to an individual. Among them, P2P car sharing is a method of sharing personal vehicles owned by individuals. It has the merit of reducing traffic congestion and providing for efficient traffic demand management by reducing the purchase rate of additional vehicles and minimizing the number of idle ones. This study examines the introduction of P2P car sharing in order to develop a traffic demand management policy and facilitate the transition to a sustainable transportation system. The spatial extent of the study consisted of apartment complexes in Seoul. In apartment complexes, it is possible to minimize the level of expenditure, such as operating expenses, by utilizing the APT management office and there is no difficulty in securing the necessary parking space. Therefore, apartment complexes were selected as the spatial range.