• Knowledge Management Research
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• v.23 no.1
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• pp.111-131
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• 2022

Mobility service is a service that connects consumers and suppliers of transportation using information and communication technology (ICT), and aims to reduce inconvenience to users in the current transportation system and increase environmental sustainability. Recently, the use of mobility services is gradually increasing, and interest in it from academia and industry is growing. This study derives key influencing factors related to the increase in intention to use vehicle mobility services, and comparatively analyzes the influences between groups by service type (car-hailing vs. car-sharing services) and by generation (generation MZ vs. generation X). As a result of the comparative study, there were differences in user benefits between service type groups, and differences in user benefits and attitudes toward mobility platforms between generation groups. Through this comparative study, the main factors affecting the increase in the intention to use the vehicle mobility service by generation and service type and their differences were identified. This study provides implications to consider in terms of knowledge management for activating vehicle mobility services according to the major target users and service types.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.19-33
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• 2019

There have been enormous efforts to develop an innovative public transport bus service for enhancing its operational efficiency based on Automated Vehicle(AV). However, since the vehicle operating environment in the public transport system varies with the purpose and method of mobility service, it is necessary to preferentially evaluate the current roadworthiness for an effective way to introduce the AV. Therefore, this study classified and redefined AV-based mobility service based on literature reviews. This research conducted the roadworthiness test for checking the feasibilities of the AV-based mobility services. Furthermore, we suggested some deployment strategies of the AV-based mobility service considering the Level-Of-Service (LOS) of road infrastructure based on the results of roadworthiness tests. The proposed direction would have a great potential to introduce the AV-based public transport system in the near future.

• Information Systems Review
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• v.23 no.4
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• pp.103-125
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• 2021

Mobility services are rapidly developing along with information and communication technology (ICT) innovation. Recently, the on-demand mobility platform market is growing, and an environment is provided in which users can call services more conveniently and check the connection status in real time using smartphones. This study investigates the current status of users' perceptions and experiences of car-hailing mobility services such as KAKAO Taxi and UT Taxi, and it analyzes the factors affecting the intention to continuously use the car-hailing service, focusing on environmental and instrumental benefits and trust in driver and platform. In particular, this study examines whether the significance of the relationship between influencing factors and continuous use intention could vary depending on the degree of innovativeness and ICT utilization. The results of this study showed that perceived benefits (environmental benefits and convenience and economic instrumental benefits) and trust in driver had significant effects on increasing trust in platform. It was analyzed that the higher the trust in platform, the higher the intention to continuously use the car-hailing service. Furthermore, the influence of perceived environmental benefits and economic benefits on the trust in platform was different depending on the degree of individual innovativeness, and the influence of convenience and economic benefits on the trust in platform varied depending on the degree of ICT utilization. Referring to the results of this study, mobility service providers can better understand the current status of users' perceptions and trust for car-hailing services, and implement service promotion strategies suitable for individual characteristics.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.107-118
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• 2022

As connected and automated driving(CAD) technology is entering its commercialization stage, service platforms providing CAD-based mobility services have increased these days. However, CAD-baded mobility services with these platforms need more consideration for the demand for mobility services when determining target areas for CAD-based mobility services because current CAB-based mobility design focus on driving performance and driving stability. For a more efficient design of CAD-based mobility services, we analyzed the applicability for the introduction of CAD-based mobility services in terms of driving difficulty of CAD and demand patterns of current non-CAD based-mobility services, e.g., taxi, demand-responsive transit(DRT), and special transportation systems(STS). In addition, for the spatial analysis of the applicability of the CAD-based mobility service, we propose the Index for Autonomous Driving Applicability (IADA) and analyze the characteristics of the spatial distribution of IADA from the network perspective. The analysis results show that the applicability of CAD-based mobility services depends more on the demand patterns than the driving difficulty of CAV. In particular, the results show that the concentration pattern of demand in a specific road link is more important than the size of demand. As a result, STS service shows higher applicability compared to other mobility services, even though the size of demand for this mobility service is relatively small.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.351-357
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• 2019

A number of case studies and type analyzes have been conducted on mobility platform services that are rapidly evolving around the world. However, since the actual user experience is important for the development of the mobility service, research on the user side is needed. In the mobility platform service, only the car-hailing was used, and the preference factors were analyzed through the questionnaire in seven aspects of the user experience. Studies have shown significant differences according to gender. While the safety of the woman, the comfort and the kindness of the vehicle have a great influence on the satisfaction, the male affirms that the familiarity is the factor affecting the satisfaction. This study focused on the customer experience as a real user and identified key factors of selecting mobility platform service, so it is expected that it will contribute to the development of mobility platform service in the future.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.301-313
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• 2021

The automotive industry is facing a paradigm shift, changing from owning to sharing and from manufacturing to service. However, it is hard to conclude that the economic value of smart mobility service is always positive to users. Cost related to owing or share a vehicle is very hard to estimate from the perspective of potential users as well as the benefit of the service. Focusing on the cost side of the story, this study develops a cost estimating model based on three main factors: electrification, advanced driving assistant systems (ADAS) function, and participation of ride-sharing service. As a result of the model analysis, low cost was estimated as a result when receiving cost benefits such as electrification and ride-sharing participation. Various factors were analyzed through sensitivity analysis also. These results can provide useful insights into the cost prediction and strategies for potential users and manufacturers on smart mobility service market.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.85-100
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• 2022

Recently, with the widespread expansion of convergence based on digital connectivity, the transportation and mobility fields are rapidly changing, and research related to this is also diversifying. This study aims to analyze the research trends in the mobility field and identify key research areas and topics. Topic modeling analysis has been proved as a useful approach for analyzing the research trends. The abstracts of 142 research papers concerning mobility from the Korean academic citation index were analyzed, derived 9 research topics and linked to 6 key elements of research framework. The result showed that 'Advanced vehicle and transportaion technology' and 'Linkage and integrated services among means for mobility' were most actively studied research fields. It also found that research on insurance, law, regulation for securing user's safety and conflict-resolving with the existing industry has been conducted.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.217-224
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• 2021

Based on the hyper-connectivity of the 4th Industrial Revolution, the paradigm shifts to the sharing economy. Didichuxing has already dominated the platform and is expanding its service to the TaaS 3.0 mobility industry. This paper aimed to suggest the direction of the domestic car-sharing industry and service improvement plan by analyzing Didichuxing. Korea is being cut off from the car-sharing industry, due to conflicts with existing industries and high regulations. It is necessary to balance the protection of existing industries and fostering new industries in the direction of negative regulations. In the future, it is also necessary to study how various fields of the sharing economy will convergence and develop.

• Broadcasting and Media Magazine
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• v.24 no.1
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• pp.49-55
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• 2019

최근 수년간 급속도로 발전한 정보통신(ICT) 및 인공지능(AI) 관련 기술은 사회전반에 걸쳐 모든 산업영역에 변화의 바람을 불러일으키고 있다. 교통부문에서도 이러한 기술의 융 복합을 통해 교통체계의 효율성과 안전성을 향상시키기 위한 노력이 자율주행의 기술발전으로 나타나고 있다. 자율주행은 그동안 인간이 운전해오던 자동차 중심의 교통체계에 혁신적인 변화의 동인이 될 것으로 전망된다. 개인 승용차 시장에 자율주행자동차의 등장과 버스, 택시 등 대중교통과 공유교통차량의 대중교통 기능 적용, 그리고 트럭 및 대형버스 등 상용차의 군집주행기술 도입 등 다양한 분야에서 산업화가 진행되고 있는 것이 그 이유다. 이로 인해 시민들의 일상생활에서 가장 중요한 부분을 차지하는 이동성(Mobility)을 제공하는 서비스에 상당한 영향을 줄 것으로 예측되고 있다. 본 고는 자율주행이 가져올 미래 교통체계의 변화로 대변되는 스마트 모빌리티에 대한 기술과 서비스 방향에 대해 진단하고, 효율적인 산업화를 위한 방안을 제시한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.17-34
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• 2022

This paper develops a model for dynamic station assignment to optimize the Demand Responsive Transit (DRT) operation. In the process of optimization, we use the bus travel time as a variable for DRT management. In addition, walking time, waiting time, and delay due to detour to take other passengers (detour time) are added as optimization variables and entered for each DRT passenger. Based on a network around Anaheim, California, reserved origins and destinations of passengers are assigned to each demand responsive bus, using K-means clustering. We create a model for selecting the dynamic station and bus route and use Non-dominated Sorting Genetic Algorithm-III to analyze seven scenarios composed combination of the variables. The result of the study concluded that if the DRT operation is optimized for the DRT management, then the bus travel time and waiting time should be considered in the optimization. Moreover, it was concluded that the bus travel time, walking time, and detour time are required for the passenger.