Yoonjin Yoon
Korea Advanced Institute of Science and Technology · Engineering
About the Lab
Professor Yoonjin Yoon's research lab specializes in transportation safety and urban mobility, with a focus on vulnerable road users, elderly mobility, and emerging urban air mobility (UAM) systems. The lab investigates risk factors in pedestrian and occupant injuries, particularly among the elderly, and evaluates emergency medical services (EMS) response in dynamic urban environments. It also explores the integration of spatial data, 3D urban airspace, and advanced modeling techniques to support evidence-based transportation policy and safety interventions.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The study investigated the commonality and diversity of pedestrian injuries among the elderly by introducing an additional cutoff age of 75. By employing single and interaction binary logit models, the study identified common risk factors for both elderly groups, as well as those that are particularly hazardous to the older-old. With nearly every country experiencing growth in the elderly population, our study strongly suggests that the conventional definition of a single elderly group is no lon
The degree of injury severity of elderly occupants was reduced the most with the use of a seatbelt, demonstrating the importance of using seat restraints. The sharp increase in the risk of injury of the older-old group suggests that the age standard of 65 years as the elderly group with regard to traffic safety may require reconsideration due to the growing number of elderly vehicle users on the road. Our results provide practical evidence with which to formulate new safety policies, including m
In highly urbanized area where traffic condition fluctuates constantly, transportation infrastructure is one of the major contributing factors to Emergency Medical Service (EMS) availability and patient outcome. In this paper, we assess the impact of traffic fluctuation to the EMS first response availability in urban area, by evaluating the k-minute coverage under 21 traffic scenarios. The set of traffic scenarios represents the time-of-day and day-of-week effects, and is generated by combining
In a new era of mobility where the transportation of persons or goods via flying vehicles over urban areas has garnered great interest. As a first step to assess the feasibility of Urban Air Mobility (UAM) in urban areas, we conduct regionalization and correspondence analysis in highly urbanized areas – San Francisco, CA and Manhattan, NY – by incorporating population dataset and urban 3D airspace to delineate the regional boundaries. Regionalization is carried out using graph-based clustering t
Research Areas
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