On January 14, 2026, Sung Yoo Lim, M.S. student, presented at 2026 TRB. In the poster session, Large Language Models and AI Applications in Travel Behavior, he presented two separate studies.

The first study examined whether LLMs can understand group decision-making processes from unstructured group chat data in joint destination choice contexts. The second study introduced an LLM-based framework for generating feasible and diverse synthetic populations, leveraging both implicit knowledge and Bayesian Networks.

• Lim, S.Y., Sato , K., Takami, K., Parady, G.,  Kim, E.J.*  "Can Large Language Models Interpret Unstructured Chat Data on Dynamic Group Decision-Making Processes? Evidence on Joint Destination Choice"

• Lim, S.Y., Yun, H., Bansal, P., Kim, D.K., Kim, E.J.*  "A Large Language Model for Feasible and Diverse Population Synthesis"

On January 14, 2026, Jisu Kim, M.S. student, presented at 2026 TRB. In the poster session, Electric Vehicle Charging and Adoption: Infrastructure, Behavior, and Policy, she presented one study.

In the session, she presented research on experience gaps in electric vehicle adoption, highlighting how ownership experience and risk perception shape purchase intentions following major safety incidents.

• Kim, J., Jeong, D., Dua, R., Bansal, P., Lee, J.H.*, Kim, E.J.*  "Differential Impact of Major EV Fires on Purchase Intention by Ownership Experience"

On January 13, 2026, Kyu Sung Lee, M.S. student, presented at 2026 TRB. In the poster session, Emerging Research Topics in Communications and Public Engagement, he presented one study applying topic modeling and sentiment classificaion.

Specifically, he analyzed public responses to electric vehicle fire incidents using social media data, illustrating how media framing and online discourse shape risk perception and public trust.

• Lee, K., Kim, E.J.*  "Disentangling Public Response to Electric Vehicle Fires Using Social Media Data: A Topic-Specific Sentiment Analysis"

On January 13, 2026, Dain Oh, M.S. student, presented at 2026 TRB. In the poster session, Research in Transit User Experience: Specialized Needs, she presented one study focusing on demand-responsive transit (DRT).

She presented research on DRT technologies, showing how system design choices can either bridge or exacerbate mobility gaps for older adults and digitally vulnerable populations.

• Oh, D., Lee, E., Kim, H., Kim E,J.*  "Impact of Bridging Technology on Older Adults’ Use of Demand-Responsive Transit in a Super-Aged Society"

On January 12, 2026, Jisu Kim, M.S. student, presented at 2026 TRB. In the poster session, Travel Data and Networks: Collection, Modeling, and Mobility Insights, she presented one study focusing on mobility data bias.

This study demonstrated that differences in observed mobility patterns are structurally patterned by attributes and spatial context, rather than being random noise. This finding emphasizes the importance of bias-aware data integration when combining traditional survey data with passively collected mobility data.

• Kim, J., Kim, E.J.*  "Identifying Systematic Discrepancies Between Household Travel Surveys and Mobile Phone Data: A Case Study of Seoul"

On January 11 2026, EMI LAB attended the Korean Transportation Association in America (KOTAA) Annual Meeting in Washington, D.C., USA., participating in member networking, and activity sharing. 

EMI LAB members Sung Yoo Lim, Kyu Sung Lee, Dain Oh, and Jisu Kim were selected as travel grant recipients by the KOTAA.

We also joined the Ajou University Transportation Systems Engineering Alumni Reunion, exchanging updates and maintaining academic connections among alumni.

In January 2026, EMI LAB participated in the 105th Annual Meeting of the Transportation Research Board (TRB), to be held in Washington, D.C., USA. 

At 2026 TRB, EMI LAB will present six poster presentations across the following sessions:

• Travel Data and Networks: Collection, Modeling, and Mobility Insights

• Research in Transit User Experience: Specialized Needs 

• Emerging Research Topics in Communications and Public Engagement

• Electric Vehicle Charging and Adoption: Infrastructure, Behavior, and Policy

• Large Language Models and AI Applications in Travel Behavior

We look forward to sharing our work and engaging in discussions during the conference.

In October 2025, EMI LAB attended and presented at the 2025 Korean Society of ITS Fall Conference held in Jeju, South Korea. The theme of the conference was AI-Powered Innovations in Intelligent Transportation Systems (ITS). Our team presented in the Traffic Information, Transportation Big Data, and Vehicle Data sessions.

• Sung Yoo Lim  "Vehicle Trajectory-Based Estimation of Traffic Volumes by Vehicle Type, Fuel Type, and Size for Refining Greenhouse Gas Emission Estimates in the Transport Sector"

• Jisu Kim  "Do Hotspots Exclude or Connect Socially Isolated Single-Person Households? Evidence from Seoul Citizen Life Data"

• Kyu Sung Lee  "Identifying the optimal spatiotemporal resolution through a joint evaluation of privacy and utility in mobile data"

In September 2025, Sung Yoo Lim, M.S. student, was awarded the Best Paper Award at the 93rd Conference of Korean Society of Transportation.

• Sung Yoo Lim, Koki Sato  "Can large language models interpret unstructured chat data on dynamic group decision-making processes? Evidence on joint destination choice"

In September 2025, EMI LAB attended and presented at the 93rd Conference of Korean Society of Transportation held in Jeju, South Korea. We engaged in the Transportation Planning, Public Transportation, Big-Data, and Travel behavior oral sessions.

• Kyu Sung Lee  "Disentangling Public Response to Electric Vehicle Fires Using Social Media Data: A Topic-Specific Sentiment Analysis"

• Junmin Lim  "Vehicle Trajectory-Based Estimation of Traffic Volumes by Vehicle Type, Fuel Type, and Size for Refining Greenhouse Gas Emission Estimates in the Transport Sector"

• Dain Oh  "Estimating Asymmetric Complementarity between Demand-Responsive Transit and Fixed-Route Transit Using a STARX Model: Evidence from Rural South Korea"

• Sung Yoo Lim, Koki Sato  "Can large language models interpret unstructured chat data on dynamic group decision-making processes? Evidence on joint destination choice"

• Jisu Kim  "Hot Places and the Social Isolation Index : A Time-Series Analysis of Single-Person Households in Seoul"

• Jin Kyung Kim  "Analysis of Traffic Characteristics of Hot Places in Seoul"

In June–July 2025, EMI LAB participated in the Jeju Summer Camp held at the Jeju Innovation Growth Center in South Korea. We attended seminars across various fields and gained broader perspectives through discussions with researchers from different disciplines.

In June 2025, EMI LAB attended the 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII), in Okinawa, Japan. The symposium provided opportunities to engage with researchers from diverse fields and served as a valuable source of motivation for future research.

In June 2025, Sung Yoo Lim, M.S. student, attended and presented at the 13th Symposium of the European Association for Research in Transportation (hEART 2025) in Germany. He participated in poster session, focusing on prompt engineering.

• Sung Yoo Lim, Koki Sato, Kiyoshi Takami, Giancarlos Parady and Eui-Jin Kim  "Can Large Language Models Understand Dynamic Joint Decision-Making Processes? Evidence on Destination Choice for Leisure Activities"

In May 2025, two M.S. students from EMI LAB presented at the 2025 Suwon ITS Asia-Pacific Forum. Jisu Kim presented in the Big Data Collection and Analysis session, focusing on bias in travel behavior survey data. Dain Oh presented in the Future Transport Systems session, focusing on demand for Demand-Responsive Transit systems .

• Jisu Kim  "How Can LTE/5G Cellular Data Address Geographic and Socio-demographic Bias in Household Travel Surveys?"

• Dain Oh  "Impacts of the Built Environment on Demand for Demand-Responsive Transit Using Optimal Spatial Analysis Units"

In May 2025, EMI LAB attended the 2025 Suwon ITS Asia-Pacific Forum at Suwon Convention Center, South Korea. We participated in various scientific programs and explored diverse topics in transportation.

In May 2025, Kyu Sung Lee, M.S. student, was awarded the Best Paper Award at the Presentations at the 2025 Korea Society of ITS Spring Conference.

• Kyu Sung Lee  "Analyzing Online Public Opinion and Sentiment Dynamics on Electric Vehicles: Topic Modeling and Sentiment Analysis of YouTube Comments"

In April 2025, EMI LAB attended and presented at the 2025 Korean Society of ITS Spring Conference held in Jeju, South Korea. We engaged in the Transportation Planning, Shared Mobility, e-Mobility and International oral sessions.

• Junmin Lim  "How Typical Is Your Day?: An Inverse Reinforcement Learning-based analysis of daily activity pattern typicality"

• Dain Oh  "Did a Button Bridge the Digital Gap?: A Causal Analysis of Nudging Accessibility through DRT Call Buttons"

• Sung Yoo Lim  "From Unknown to Real: Guiding LLM with Bayesian Networks for Feasible and Inclusive Population Synthesis"

• Kyu Sung Lee  "Analyzing Online Public Opinion and Sentiment Dynamics on Electric Vehicles: Topic Modeling and Sentiment Analysis of YouTube Comments"

• Jisu Kim  "How Can LTE/5G Cellular Data Address Geographic and Sociodemographic Bias in Household Travel Surveys?"

In February 2025, Jisu Kim, M.S. student, attended and presented at the 92nd Conference of Korean Society of Transportation held in Seoul, South Korea. She participated in the oral session on traffic planning, focusing on the changes in electric vehicle purchasing preferences that occur when a special event takes place.

• Jisu Kim  "The Impact of Large-Scale Electric Vehicle Fire Incidents on Purchase Perception: A Comparative Study of EV Buyers and Non-Buyers"

In January 2025, Dain Oh, M.S. student, presented her research titled “Evaluating the Impacts Before and After the Introduction of Demand Responsive Transit (DRT)” in the lecture session: Demand Response and Paratransit Optimization.

• Dain Oh  "How Demand-Responsive Transit Is Reshaping Public Transit: A Spatial Assessment Framework Based on Causal Impact Inference"

In January 2025, EMI LAB participated in the 104th Annual Meeting of the Transportation Research Board (TRB) held in Washington, D.C., USA. It was a valuable opportunity to engage with researchers from around the world and exchange ideas on various topics in transportation.

In October 2024, Jisu Kim, M.S. student, was awarded the Best Paper Award at the Presentations at the 2024 Korea Society of ITS Fall Conference.

• Jisu Kim  "Analysis of Sample Bias in Travel Patterns within a Socioeconomic Context: A Comparative Study between the 2021 NHTS and KT Life Movement Data in Seoul"

In October 2024, EMI LAB attended and presented at the Presentations at the 2024 Korea Society of ITS Fall Conference held in Gangneung, South Korea. We engaged in the Transportation Planning and Shared Mobility oral sessions. We also participated in the Undergraduate poster session.

• Jisu Kim  "Analysis of Sample Bias in Travel Patterns within a Socioeconomic Context: A Comparative Study between the 2021 NHTS and KT Life Movement Data in Seoul"

• Dain Oh  "A Study on the Optimal Space Division and Unit for the Minimization of Modifiable areal unit problem"

• Kyu Sung Lee, Sung Yoo Lim  "The Influence of Online Public Opinion on Electric Vehicle Registrations: Sentiment Analysis and Predictive Modeling"

In September 2024, EMI LAB attended and presented at the 91st Conference of Korean Society of Transportation held in Gangneung, South Korea. We actively participated in the Transportation Planning and Smart Mobility oral sessions.

• Jisu Kim  "A Study of NHTS Sample Bias within a Socioeconomic Context: A Comparative Analysis between the 2021 NHTS and KT Life Movement Data in Seoul"

• Dain Oh  "How Demand Responsive Transit is Reshaping Public Transit Network in Rural Areas: A Causal Impact Inference Approach"

• Sung Yoo Lim   "Development of Prompt Engineering Techniques for Large Language Model to Understand Group Decision-Making Processes"

• Kyu Sung Lee   "Counterfactual Example Inference for Deriving Strategies to Increase Public Transportation Modal Share"

In July 2024, Prof. Eui-Jin Kim participated in the 17th International Conference on Travel Behavior Research (IATBR) held in Vienna. He presented one paper and participated in two papers. 

• Kim, E.J., Bansal, P.*, Dua, R. How Many, Who, and Why Would Discontinue Electric Vehicle Ownership: An International Comparison of the United States, China, and Germany. 

• Vo, K., Kim, E.J., Bansal, P.* A Novel Data Fusion Method to Leverage Passively-Collected Mobility Data in Generating Spatially-Heterogeneous Synthetic Population.

• Maksimenko, V., Kim, E.J., Bansal, P.*, Li, X., Lin, Y. Understanding Choice Biases in Moral Machine Experiment Using Brain Recordings and Drift Diffusion Models. 

In June 2024, EMI LAB attended the Jeju Summer Camp at the Jeju Innovation Growth Center, South Korea. During this camp, we took seminars and conducted collaborative research.

In May 2024, Prof. Eui-Jin Kim won the Yongtaek Lim Award(1st) at the 2nd Yongtaek Lim Award for Outstanding Paper Competition, hosted by MESH and sponsored by Studio G. This is an academic award to cultivate the new generations in the field of transportation planning. The Ph.D and MSc dissertations on transportation planning and behavior modeling have been received.

In May 2024, our undergraduate students achieved excellent results at the 2024 Korea Institute of ITS Spring Conference. Sung Yoo Lim won the top prize(1st), and Dain Oh received the participation prize(4th).

In April 2024, our undergraduate students participated in the undergraduate oral session at the 2024 Korea Institute of ITS Spring Conference held in Jeju, South Korea.

• Sung Yoo Lim  "Inferring Heterogeneous Structure of Travel Decision Making Using Generative Flow Networks and Bayesian Networks"

• Dain Oh  "Assessing the extent of modifiable areal unit problem in modelling transit trip generation using smart card data"

In April 2024, our undergraduate students participated in the undergraduate poster session at the 2024 Korea Institute of ITS Spring Conference held in Jeju, South Korea.

• Kyu Sung Lee  "Scenario for Improving Public Transportation Modal Share: Based on Counterfactual Explanations"

• Hangyeol Cho  "Modal Shift toward Public Transit by Introduction of Demand-Responsive Transit: A Causal Inference Approach"

• Jisu Kim  "Complex Analysis of Commuting Patterns Post-COVID-19: Focus on Commuting Behavior in Seoul's CBD"

In October 2023, our undergraduate students participated in the undergraduate session at the 2023 Korea Institute of ITS Fall Conference held in Jeju, South Korea.

• Sung Yoo Lim  "Analysis of Travel Decision-Making Structure Based on Bayesian Networks" 

In Nov 2023, Sung Yoo Lim was awarded the Participation Prize (4th place) in recognition of his insightful presentation.

In October 2023, our undergraduate students participated in the Joint Conference of Korean Society of Transportation & Korea Planning Association held in Busan, South Korea.

• Sung Yoo Lim  "Analysis of Travel Decision-Making Structure Using Bayesian Networks" 

• Kyu Sung Lee, Minsu Seo  "Comparing Machine Learning and Statistical Models for Long-Term Prediction: In the Context of Vehicle Ownership Choice"

• Minsu Seo, Kyu Sung Lee, Sung Yoo Lim  "Training Strategies of YOLO model for Drone Video-based Vehicle Detection and Tracking"