| Analysis of travel mode choice in Seoul using an interpretable machine learning approach EJ Kim Journal of Advanced Transportation 2021 (1), 6685004, 2021 | 76 | 2021 |
| Extracting vehicle trajectories using unmanned aerial vehicles in congested traffic conditions EJ Kim, HC Park, SW Ham, SY Kho, DK Kim Journal of Advanced Transportation 2019 (1), 9060797, 2019 | 76 | 2019 |
| A comparative analysis of the users of private cars and public transportation for intermodal options under Mobility-as-a-Service in Seoul Y Kim, EJ Kim, S Jang, DK Kim Travel Behaviour and Society 24, 68-80, 2021 | 63 | 2021 |
| Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment EJ Kim, Y Kim, S Jang, DK Kim Transportation Research Part A: Policy and Practice 150, 236-255, 2021 | 55 | 2021 |
| Interpretable machine-learning models for estimating trip purpose in smart card data EJ Kim, Y Kim, DK Kim Proceedings of the Institution of Civil Engineers-Municipal Engineer 174 (2 …, 2021 | 27 | 2021 |
| Imputing qualitative attributes for trip chains extracted from smart card data using a conditional generative adversarial network EJ Kim, DK Kim, K Sohn Transportation Research Part C: Emerging Technologies 137, 103616, 2022 | 22 | 2022 |
| A deep generative model for feasible and diverse population synthesis EJ Kim, P Bansal Transportation Research Part C: Emerging Technologies 148, 104053, 2023 | 19 | 2023 |
| A hybrid approach based on variational mode decomposition for analyzing and predicting urban travel speed EJ Kim, HC Park, SY Kho, DK Kim Journal of Advanced Transportation 2019 (1), 3958127, 2019 | 17 | 2019 |
| A generalized driving risk assessment on high-speed highways using field theory YJ Joo, EJ Kim, DK Kim, PY Park Analytic Methods in Accident Research 40, 100303, 2023 | 15 | 2023 |
| Investigating the influential factors for practical application of multi-class vehicle detection for images from unmanned aerial vehicle using deep learning models SW Ham, HC Park, EJ Kim, SY Kho, DK Kim Transportation Research Record 2674 (12), 553-567, 2020 | 13 | 2020 |
| Discrete choice experiments with eye-tracking: How far we have come and ways forward P Bansal, EJ Kim, S Ozdemir Journal of Choice Modelling 51, 100478, 2024 | 12 | 2024 |
| Price incentive strategy for the E-scooter sharing service using deep reinforcement learning H Yun, EJ Kim, SW Ham, DK Kim Journal of Intelligent Transportation Systems 28 (3), 409-423, 2024 | 10 | 2024 |
| A new flexible and partially monotonic discrete choice model EJ Kim, P Bansal Transportation Research Part B: Methodological 183, 102947, 2024 | 8 | 2024 |
| Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition JH Cho, DK Kim, EJ Kim Physica A: Statistical Mechanics and its Applications 600, 127488, 2022 | 7 | 2022 |
| Spatiotemporal filtering method for detecting kinematic waves in a connected environment EJ Kim, DK Kim, SY Kho, K Chung Plos one 15 (12), e0244329, 2020 | 7* | 2020 |
| Developing Commuters’ Transportation Alternative Choice Model in Seoul Mobility-as-a-Service Y Kim, EJ Kim, DK Kim Journal of Korean Society of Transportation 38 (4), 292-308, 2020 | 6 | 2020 |
| Understanding consumers’ non-compensatory and heterogeneous preferences for electric vehicles J Huo, EJ Kim, P Bansal Energy Policy 192, 114260, 2024 | 5 | 2024 |
| Activity-based TOD typology for seoul transit station areas using smart-card data Y Shin, DK Kim, EJ Kim Journal of Transport Geography 105, 103459, 2022 | 5 | 2022 |
| Short-term Prediction of Travel Speed in Urban Areas Using an Ensemble Empirical Mode Decomposition EJ Kim, DK Kim KSCE Journal of Civil and Environmental Engineering Research 38 (4), 579-586, 2018 | 4 | 2018 |
| Impact of driver behavior and vehicle type on safety of vehicle platoon under lane change situation YW Shin, DK Kim, EJ Kim Transportation Research Record 2677 (5), 40-50, 2023 | 3 | 2023 |
Dong-Kyu KimSeoul National UniversityVerified email at snu.ac.kr
