| Investigating the factors influencing the uptake of electric vehicles in Beijing, China: Statistical and spatial perspectives C Zhuge, C Shao Journal of cleaner production 213, 199-216, 2019 | 76 | 2019 |
| Agent-based joint model of residential location choice and real estate price for land use and transport model C Zhuge, C Shao, J Gao, C Dong, H Zhang Computers, environment and urban systems 57, 93-105, 2016 | 70 | 2016 |
| Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China C Zhuge, B Wei, C Dong, C Shao, Y Shan Journal of Cleaner Production 221, 710-737, 2019 | 66 | 2019 |
| Deploying battery swap stations for shared electric vehicles using trajectory data X Yang, C Shao, C Zhuge, M Sun, P Wang, S Wang Transportation Research Part D: Transport and Environment 97, 102943, 2021 | 62 | 2021 |
| Exploring the influence of built environment on car ownership and use with a spatial multilevel model: A case study of Changchun, China X Wang, C Shao, C Yin, C Zhuge International journal of environmental research and public health 15 (9), 1868, 2018 | 55 | 2018 |
| The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing C Zhuge, B Wei, C Shao, Y Shan, C Dong Energy Policy 139, 111328, 2020 | 47 | 2020 |
| The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach C Zhuge, B Wei, C Shao, C Dong, M Meng, J Zhang Journal of Cleaner Production 250, 119479, 2020 | 43 | 2020 |
| Agent-based modelling of locating public transport facilities for conventional and electric vehicles C Zhuge, C Shao Networks and Spatial Economics 18 (4), 875-908, 2018 | 41 | 2018 |
| Integrated modelling of autonomous electric vehicle diffusion: From review to conceptual design C Zhuge, C Wang Transportation research part D: transport and environment 91, 102679, 2021 | 31 | 2021 |
| Sensitivity analysis of integrated activity-based model: Using MATSim as an example C Zhuge, C Shao, S Wang, Y Hu Transportation Letters 11 (2), 93-103, 2019 | 24 | 2019 |
| Short-term electric vehicle charging demand prediction: A deep learning approach S Wang, C Zhuge, C Shao, P Wang, X Yang, S Wang Applied Energy 340, 121032, 2023 | 23 | 2023 |
| A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing J Liu, C Zhuge, JHCG Tang, M Meng, J Zhang Applied Energy 310, 118581, 2022 | 22 | 2022 |
| Application of Bayesian multilevel models using small and medium size City in China: the case of Changchun X Wang, C Shao, C Yin, C Zhuge, W Li Sustainability 10 (2), 484, 2018 | 22 | 2018 |
| Exploring the role of technology innovations in the diffusion of electric vehicle with an agent-based spatial integrated model C Zhuge, C Dong, B Wei, C Shao Resources, Conservation and Recycling 174, 105806, 2021 | 21 | 2021 |
| An improvement in MATSim computing time for large-scale travel behaviour microsimulation C Zhuge, M Bithell, C Shao, X Li, J Gao Transportation 48 (1), 193-214, 2021 | 21 | 2021 |
| A comparative study of en route refuelling behaviours of conventional and electric vehicles in Beijing, China C Zhuge, C Shao, X Li Sustainability 11 (14), 3869, 2019 | 21 | 2019 |
| Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications M Sun, C Shao, C Zhuge, P Wang, X Yang, S Wang Transportation 49 (5), 1409-1439, 2022 | 20 | 2022 |
| An agent-and GIS-based virtual city creator C Zhuge, C Shao, S Wang, Y Hu Journal of Transport and Land Use 11 (1), 1231-1256, 2018 | 20 | 2018 |
| Characterizing mobility patterns of private electric vehicle users with trajectory data X Yang, C Zhuge, C Shao, Y Huang, JHCG Tang, M Sun, P Wang, ... Applied Energy 321, 119417, 2022 | 19 | 2022 |
| An agent-based spatial urban social network generator: a case study of Beijing, China C Zhuge, C Shao, B Wei Journal of computational science 29, 46-58, 2018 | 19 | 2018 |
