| Comparison of usage regularity and its determinants between docked and dockless bike-sharing systems: a case study in Nanjing, China Y Ji, X Ma, M He, Y Jin, Y Yuan Journal of Cleaner Production 255, 120110, 2020 | 88 | 2020 |
| Modeling the factors influencing the activity spaces of bikeshare around metro stations: A spatial regression model X Ma, Y Ji, Y Jin, J Wang, M He Sustainability 10 (11), 3949, 2018 | 48 | 2018 |
| Short-term prediction of bike-sharing demand using multi-source data: a spatial-temporal graph attentional LSTM approach X Ma, Y Yin, Y Jin, M He, M Zhu Applied Sciences 12 (3), 1161, 2022 | 23 | 2022 |
| Geographically weighted multinomial logit models for modelling the spatial heterogeneity in the bike-sharing renting-returning imbalance: A case study on Nanjing, China M He, X Ma, J Wang, M Zhu Sustainable Cities and Society 83, 103967, 2022 | 16 | 2022 |
| Station importance evaluation in dynamic bike-sharing rebalancing optimization using an entropy-based TOPSIS approach M He, X Ma, Y Jin IEEE Access 9, 38119-38131, 2021 | 13 | 2021 |
| Measuring bikeshare access/egress transferring distance and catchment area around metro stations from smartcard data X Ma, Y Jin, M He Information 9 (11), 289, 2018 | 8 | 2018 |
| Exploring the association between travel demand changes and the built environment during the COVID-19 pandemic Z Mai, M He, C Zhuge, JHCG Tang, Y Huang, X Yang, S Wang Smart Construction and Sustainable Cities 1 (1), 12, 2023 | 3 | 2023 |
| A data-driven large-scale micro-simulation approach to deploying and operating wireless charging lanes M He, S Wang, C Zhuge Transportation Research Part D: Transport and Environment 121, 103835, 2023 | 1 | 2023 |
| How temporary disruption of metro service influence metro commuters’ mode shifts during the COVID-19 pandemic? Evidence from Tianjin, China X Ma, S Sun, L Li, M He, H Cui Travel Behaviour and Society 36, 100773, 2024 | | 2024 |
| Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach X Ma, S Zhang, M Zhu, T Wu, M He, H Cui Cities 137, 104341, 2023 | | 2023 |
| Integrated Synchromodal Transport Planning and Preference Learning M He | | 2023 |
| A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization M He, P Krishnakumari, D Luo, J Chen 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| What Influences Intermodal Choices: Metro-Centric, Bus-Centric, Hybrid? Insights from Machine Learning Approaches X Ma, X Tian, H Cui, M He, J Wang, L Cheng Insights from Machine Learning Approaches, 0 | | |
