• Journal of the Korean Geographical Society
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• v.51 no.1
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• pp.89-108
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• 2016

This paper aims to illustrate how the third generation bike sharing schemes (BSS) are operated in Korea and identify the possible factors that have made cities to adopt and maintain BSS successfully in Korea. For this, the paper selects the case of Nubija in Changwon as the representative and the most successful BSS case in Korea. It identifies three major factors that have made the city to adopt Nubija. First, Nubija was initiated as a part of the bigger project of 'Environmental Capital' aiming to develop the city as a world class green city attempted by the city government. Second, the mayor's willingness to learn and adopt European model cities of environmental capital and green transportation played a decisive role in developing Nubija. Third, the city government was able to implement BSS policy in a top-down manner so the policy process was relatively speedy and effective. Also Nubijia became a stable policy because the city has gained international reputation as a Korea's representative green city, and as a result, the city's BSS policy has passed the point of no return. In the future, channels should be made for active citizen participation in the decision making process of Nubija so that they can cooperate with the city government to develop Nubija further.

• Transportation Technology and Policy
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• v.7 no.3
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• pp.59-70
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• 2010

• Journal of Digital Convergence
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• v.16 no.8
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• pp.263-267
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• 2018

In this study, it is aimed to solve the problems of energy depletion, environmental pollution, climate change and traffic congestion in the coming generations. In Korea, the usage of public bicycle, which is a short-distance transportation system, is continuously increasing. Therefore, we analyzed the public bicycles of 'Taungryei' in Seoul and 'Nubiza' in Changwon City. We also conducted in-depth interviews with Stephen Anderson based on six principles of Creating Pleasurable Interfaces. As a result, users' discomfort was found in the functional part and the usability part of the public bicycle. Also, it was confirmed that the users were satisfied with the public bicycle in the meaningful part. Therefore, public bicycles should consider the user experience aspects to complement functional and usability parts for users.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.163-173
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• 2015

In this paper, it shows optimal inventory level of bicycle sharing service terminal by maintaining the lowest costs. As the interest to environment and exhaustion of resource increases globally, investment to sustainable transportation increases around advanced countries and interest to efficient transportation, managing and consuming of vehicle increases also. Vehicle sharing service is a model of rental car where customer rent cars for short periods of time often by the hour and its users are increasing for the reason that it is more convenient than car rent. In addition, bicycle sharing service is one of the major parts in vehicle sharing program and many of country are already managing it. This paper proposes optimal inventory levels of vehicle sharing service's terminal by using simulation calculating operation costs of vehicle sharing service.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.2
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• pp.83-92
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• 2024

Currently, various countries are enhancing accessibility by providing bicycle rental services for convenient usage within daily life. This paper introduces the Nubija public bicycle service in Changwon, South Korea, aiming to address the imbalance between demand and supply of Nubija bicycles. We propose a Highest Priority Reallocation Scheme to prevent this disparity. Comparing this scheme with others that randomly visit terminals for redistribution and those that prioritize terminals closest to current locations, we illustrate its superior efficiency. Our proposed Highest Priority Reallocation Scheme prioritizes terminals with the highest demand and shortest distances nearby. Through experiments, our proposed scheme demonstrates superior performance, with the lowest average of 817.44km distance and an average of 6437.45 times, i.e., 88.14% successful rental occurrences. This highlights its superiority over the other two algorithms.