• ETRI Journal
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• v.44 no.2
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• pp.220-231
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• 2022

Building smart transportation services in urban cities has become a worldwide problem owing to the rapidly increasing global population and the development of Internet-of-Things applications. Traffic congestion and environmental concerns can be alleviated by sharing mobility, which reduces the number of vehicles on the road network. The taxi-parcel sharing problem has been considered as an efficient planning model for people and goods flows. In this paper, we enhance the functionality of a current people-parcel taxi sharing model. The adapted model analyzes the historical request data and predicts the current service demands. We then propose two novel online routing algorithms that construct optimal routes in real-time. The objectives are to maximize (as far as possible) both the parcel delivery requests and ride requests while minimizing the idle time and travel distance of the taxis. The proposed online routing algorithms are evaluated on instances adapted from real Cabspotting datasets. After implementing our routing algorithms, the total idle travel distance per day was 9.64% to 12.76% lower than that of the existing taxi-parcel sharing method. Our online routing algorithms can be incorporated into an efficient smart shared taxi system.

• STI Policy Review
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• v.7 no.2
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• pp.60-84
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• 2016

What impact does the sharing economy have on existing businesses? This paper empirically examines how Uber transformed the taxi industry in New York City. Using a regression model controlling various potential influencing factors, we find no direct evidence that daily trips or revenue per taxi driver decreased since Uber entered the taxi industry. However, a closer investigation into other dimensions of taxi trips reveals that taxi drivers were forced to change their way of doing businesses to retain existing daily trips and revenue. Since Uber crowded out yellow taxis from the central area of Manhattan, yellow taxis responded by serving customers outside of the Manhattan borough. From enlarging their geographical coverage and serving customers that were previously ignored, yellow taxis were able to retain their previous level of taxi trips and market share. We also find that yellow taxis responded by improving their service quality to better serve customers' needs. Our result suggests that incumbents actively responded to Uber's entry and provided substantial benefit to consumers. Combined with the incumbent's response, the sharing economy transformed the existing market in a welfare-enhancing way. This paper provides managerial and policy implication on how incumbents affected by the disruptions of the sharing economy should respond. Even though it might be yet premature to examine the impact of Uber, results suggest that incumbents have effectively defended against Uber's entry so far. We conclude that the sharing economy and the existing economy can create positive value in our society through well-intentioned competition, complementing each other's weaknesses and strengths.

• Journal of the Korean Regional Science Association
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• v.38 no.1
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• pp.21-32
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• 2022

The purpose of this study is two things. First, it is to develop and demonstrate a sharong taxi platform. To this end, the implications for platform development were derived by analyzing consumers' perceptions of existing taxi services using IPA. As a result, abnormal business activities and safe services in the maintenance area were found to be safe rides and easy rides in the key improvement area. Safety such as usage fee level and driver information provision were derived in the areas subject to improvement, and friendly response and internal and external cleanliness were derived in the areas of excessive investment. The second purpose of this study is to estimate the value given to users for sharing taxi service platforms using the CVM. As a result of estimating the value of the demonstration service of the shared taxi platform developed through this study, the WTP was 3,621 won/per household/per year when expanding throughout Gimhae-si, and 2,515 won/per household/per year. Compared to the willingness to pay for empirical services, only 69.5% of the willingness to pay for the spread project in Gimhae-si. This is the result of a combination of service spread to an unspecified number of people and concerns about service quality due to spatial expansion. This suggests that it is necessary to build data through continuous demonstration and to carefully build a roadmap for spread by upgrading services based on this.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.101-112
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• 2020

This study aims to discuss the current status of the ride-sharing platform industry, which embodies the core values of the 4th Industrial Revolution, sharing and connectivity, as well as economic, industrial, and legal issues. To understand the position of competing groups, the research conducted extensive literature reviews on domestic and international cases of technical and legal issues of the sharing economy. The result indicates that the ride sharing industry showed the economy of synthesis in which production, supply, distribution, and consumption are on one platform. It made possible to share values to users and synthesize them with new services through easy-access mobile application technology. To resolve the conflicts between the taxi industry and the ride sharing industry, this study suggests the following: Ride-sharing companies should make contributions to provide legitimate services. The taxi industry needs to understand the value of the new industry and consumers who chose the shared platform service. The significance of the current study is that it proposed a comprehensive analysis and policy direction toward the issue of balance between public and private interests and legal stability.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.163-171
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• 2012

Demand Responsive Transit (DRT) services are becoming necessary as part of not only alternative transportation means for elderly and mobility impaired passengers, but also sustainable and flexible transportation options in urban area due to the development of communication technologies and Location Based Services (LBS). It is difficult to investigate the system performance regarding vehicle operational schemes and vehicle routing algorithms due to the lack of commercial software to support door-to-door vehicle simulation for larger area. This study proposes a simulation framework to evaluate innovative and flexible transit systems focusing on various vehicle routing algorithms, which describes data-type requirements for simulating door-to-door service on demand. A simulation framework is applied to compare two vehicle dispatch algorithms, Nearest Vehicle Dispatch (NVD) and Insertion Heuristic (IH) for real-time shared-taxi service in Seoul. System productivity and efficiency of the shared-taxi service are investigated, comparing to the conventional taxi system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.291-310
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• 2023

This study explores the factors which affect user acceptance for Robo Taxi, an electricity-based Autonomous Vehicles based on a Value based Adoption Model. The three main factors of benefit (usefulness and enjoyment), sacrifice (technicality and perceived fee level), and user experience about mobility services such as car sharing, taxi, and autonomous vehicles, were finally selected as independent variables as a influential factors on perceived values and adoption intention of Robo taxi. The study found that usefulness, enjoyment, and perceived fee had a significant effects on adoption intention, and some user experiences had a significant effect on benefit factors. This study has important implications for incorporating the Value-based Adoption Model results into the service design for the activation of Robo taxi, and furthermore, they can provide a theoretical basis for effective use of the research findings.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1241-1249
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• 2014

This study presents preferences factors analysis of Car-sharing in Suwon. Approximately, 60% of the citizens prefer car-sharing and consider using it. The results of analysis by factors show higher preferences in these groups of travelers: man, younger, a resident of detached house and efficiency apartment, user of public transportation who finds it uncomfortable, traveler without vehicles, and traveler using car 1 to 3 times a week. The potential demand for car-sharing was highest in the residential areas and around the stations. Travelers prefer to pay the fee by the hour, which the fair value was 7,967 won. For the trip purpose of business, shopping and leisures, car-sharing is more preferred than taxi and rental cars. Findings will contribute to determining the direction of policy for the car-sharing.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.83-95
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• 2019

Recently, a variety of IoT data is collected by attaching geosensors to many vehicles that are on the road. IoT data basically has time and space information and is composed of various data such as temperature, humidity, fine dust, Co2, etc. Although a certain sensor data can be retrieved using time, latitude and longitude, which are keys to the IoT data, advanced search engines for IoT data to handle high-level user queries are still limited. There is also a problem with searching large amounts of IoT data without generating indexes, which wastes a great deal of time through sequential scans. In this paper, we propose a unified spatial index model that handles both grid and trajectory queries using a cell-based space-filling curve method. also it presents a visualization method that helps user grasp intuitively. The Trajectory query is to aggregate the traffic of the trajectory cells passed by taxi on the road searched by the user. The grid query is to find the cells on the road searched by the user and to aggregate the fine dust. Based on the generated spatial index, the user interface quickly summarizes the trajectory and grid queries for specific road and all roads, and proposes a Web-based prototype system that can be analyzed intuitively through road and heat map visualization.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.1969-1980
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• 2013

The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.325-326
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• 2019

서비스화(servitization)와 공유경제 패러다임이 확산되면서 서비스 산업에서도 IT기술을 융합시킨 다양한 형태의 새로운 비즈니스가 성공적으로 정착되고 있다. 특히 대중교통 서비스 산업에서 우버(Uber) 택시는 IT기술과 공유경제 개념을 절묘하게 접목시킨 새로운 차원의 성공적인 공유택시 비즈니스 모델로 자리매김하였고, IT기술을 적용한 교통예약 소프트웨어는 공유택시의 차별적 경쟁우위를 확보하기 위한 중요한 수단이 되고 있다. 공유택시 예약 프로그램은 택시이용자에게 신속하고 편리함을 제공할 뿐만 아니라 에너지 절약, 교통체증으로 인한 스트레스 완화 등의 많은 사회적 혜택과 이익을 제공하고 있기 때문에, 여러 분야에서 다양한 연구가 진행되고 있다. 최근 중국에서는 보다 진보된 공유택시 예약 프로그램이 공유택시에 접목되면서 공유택시 이용객이 급히 증가하고 있으며, 이와 함께 공유택시 차별화에 핵심적인 역할을 하는 소프트웨어 시장의 경쟁도 가속화 되고 있다. 그러나, 이용객을 대상으로 강력범죄 발생빈도 증가와 이로 인한 부정적인 여론의 급속한 확산은 공유택시 산업발전에 심각한 방해요인이 되고 있지만, 근본적인 해결방법에 관한 연구는 미비한 실정이다. 따라서 본 연구는 공유택시 예약 프로그램에 이용객의 안전을 위한 컨텐츠 개발과 적용을 통해 공유택시 이용객의 불안해소와 공유택시 산업 발전에 기여할 수 있는 방법을 제안하고자 하였다. 연구방법은 중국현지의 공유택시 이용객을 대상으로 실증연구를 진행할 계획이며, 고객여정맵(CJM)과 Kano 분석을 통해 결과와 시사점을 도출할 계획이다.