| Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips K Gao, Y Yang, L Sun, X Qu Transportation research part F: traffic psychology and behaviour 71, 272-287, 2020 | 114 | 2020 |
| Merging control strategies of connected and autonomous vehicles at freeway on-ramps: A comprehensive review J Zhu, S Easa, K Gao Journal of intelligent and connected vehicles 5 (2), 99-111, 2022 | 105 | 2022 |
| An empirical analysis of dockless bike-sharing utilization and its explanatory factors: case study from Shanghai, China A Li, P Zhao, Y Huang, K Gao, KW Axhausen Journal of Transport Geography 88, 102828, 2020 | 99 | 2020 |
| Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior K Gao, L Sun, Y Yang, F Meng, X Qu Transportation research part A: policy and practice 148, 1-21, 2021 | 86 | 2021 |
| High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data A Li, K Gao, P Zhao, X Qu, KW Axhausen Journal of Cleaner Production 296, 126423, 2021 | 73 | 2021 |
| Impacts of reduced visibility under hazy weather condition on collision risk and car-following behavior: Implications for traffic control and management K Gao, H Tu, L Sun, NN Sze, Z Song, H Shi International journal of sustainable transportation 14 (8), 635-642, 2020 | 69 | 2020 |
| Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai K Gao, Y Yang, A Li, X Qu Transportation research part D: transport and environment 94, 102814, 2021 | 67 | 2021 |
| Quantifying economic benefits from free-floating bike-sharing systems: a trip-level inference approach and city-scale analysis K Gao, Y Yang, A Li, J Li, B Yu Transportation research part A: policy and practice 144, 89-103, 2021 | 63 | 2021 |
| A bi-level optimization framework for charging station design problem considering heterogeneous charging modes L Zhang, Z Zeng, K Gao Journal of Intelligent and Connected Vehicles 5 (1), 8-16, 2022 | 51 | 2022 |
| Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation H Li, K Gao, H Tu Transportation Research Part A: Policy and Practice 103, 250-263, 2017 | 45 | 2017 |
| A platoon-based cooperative optimal control for connected autonomous vehicles at highway on-ramps under heavy traffic Y Xue, X Zhang, Z Cui, B Yu, K Gao Transportation research part C: emerging technologies 150, 104083, 2023 | 41 | 2023 |
| Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction K Gao, Y Yang, X Qu Transportation Research Part D: Transport and Environment 97, 102957, 2021 | 40 | 2021 |
| Diverging effects of subjective prospect values of uncertain time and money K Gao, Y Yang, X Qu Communications in Transportation Research 1, 100007, 2021 | 39 | 2021 |
| Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory K Gao, Y Yang, T Zhang, A Li, X Qu Knowledge-Based Systems 218, 106882, 2021 | 34 | 2021 |
| Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility K Gao, Y Yang, J Gil, X Qu Journal of Transport Geography 110, 103604, 2023 | 32 | 2023 |
| Adaptive collision-free trajectory tracking control for string stable bidirectional platoons S Cui, Y Xue, K Gao, M Lv, B Yu IEEE Transactions on Intelligent Transportation Systems 24 (11), 12141-12153, 2023 | 30 | 2023 |
| Spatio-temporal usage patterns of dockless bike-sharing service linking to a metro station: a case study in Shanghai, China Q Yan, K Gao, L Sun, M Shao Sustainability 12 (3), 851, 2020 | 27 | 2020 |
| Heterogeneity in valuation of travel time reliability and in-vehicle crowding for mode choices in multimodal networks K Gao, L Sun, H Tu, H Li Journal of Transportation Engineering, Part A: Systems 144 (10), 04018061, 2018 | 26 | 2018 |
| Investigating machine learning for simulating urban transport patterns: A comparison with traditional macro-models O Parishwad, S Jiang, K Gao Multimodal Transportation 2 (3), 100085, 2023 | 24 | 2023 |
| Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US S Wang, K Gao, L Zhang, B Yu, SM Easa Accident Analysis & Prevention 199, 107528, 2024 | 23 | 2024 |
Xiaobo Qu (曲小波)Chair Professor of Intelligent TransportationEmail yang diverifikasi di tsinghua.edu.cn