| A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting P Cai, Y Wang, G Lu, P Chen, C Ding, J Sun Transportation Research Part C: Emerging Technologies 62, 21-34, 2016 | 500 | 2016 |
| Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance C Ding, D Wang, C Liu, Y Zhang, J Yang Transportation Research Part A: Policy and Practice 100, 65-80, 2017 | 428 | 2017 |
| Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo C Ding, XJ Cao, P Næss Transportation Research Part A: Policy and Practice 110, 107-117, 2018 | 345 | 2018 |
| A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership X Ma, J Zhang, C Ding, Y Wang Computers, Environment and Urban Systems 70, 113-124, 2018 | 274 | 2018 |
| Prioritizing influential factors for freeway incident clearance time prediction using the gradient boosting decision trees method X Ma, C Ding, S Luan, Y Wang, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (9), 2303-2310, 2017 | 251 | 2017 |
| How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds C Ding, X Cao, C Liu Journal of Transport Geography 77, 70-78, 2019 | 245 | 2019 |
| Predicting short-term subway ridership and prioritizing its influential factors using gradient boosting decision trees C Ding, D Wang, X Ma, H Li Sustainability 8 (11), 1100, 2016 | 202 | 2016 |
| Parallel architecture of convolutional bi-directional LSTM neural networks for network-wide metro ridership prediction X Ma, J Zhang, B Du, C Ding, L Sun IEEE Transactions on Intelligent Transportation Systems 20 (6), 2278-2288, 2018 | 194 | 2018 |
| Synergistic effects of the built environment and commuting programs on commute mode choice C Ding, X Cao, Y Wang Transportation Research Part A: Policy and Practice 118, 104-118, 2018 | 187 | 2018 |
| Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice C Ding, Y Wang, T Tang, S Mishra, C Liu Transportation research part D: transport and environment 60, 28-40, 2018 | 175 | 2018 |
| Using an ARIMA-GARCH modeling approach to improve subway short-term ridership forecasting accounting for dynamic volatility C Ding, J Duan, Y Zhang, X Wu, G Yu IEEE Transactions on Intelligent Transportation Systems 19 (4), 1054-1064, 2017 | 153 | 2017 |
| Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach C Ding, P Chen, J Jiao Accident Analysis & Prevention 112, 116-126, 2018 | 152 | 2018 |
| Exploring the influence of built environment on tour-based commuter mode choice: A cross-classified multilevel modeling approach C Ding, Y Lin, C Liu Transportation Research Part D: Transport and Environment 32, 230-238, 2014 | 131 | 2014 |
| Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development X Ma, X Chen, X Li, C Ding, Y Wang Journal of Cleaner Production 170, 1052-1063, 2018 | 130 | 2018 |
| A gradient boosting logit model to investigate driver’s stop-or-run behavior at signalized intersections using high-resolution traffic data C Ding, X Wu, G Yu, Y Wang Transportation Research Part C: Emerging Technologies 72, 225-238, 2016 | 108 | 2016 |
| How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model C Ding, X Cao Journal of Transport Geography 75, 37-45, 2019 | 103 | 2019 |
| Investigating the impacts of built environment on vehicle miles traveled and energy consumption: Differences between commuting and non-commuting trips C Ding, C Liu, Y Zhang, J Yang, Y Wang Cities 68, 25-36, 2017 | 94 | 2017 |
| Influences of built environment characteristics and individual factors on commuting distance: A multilevel mixture hazard modeling approach C Ding, S Mishra, G Lu, J Yang, C Liu Transportation Research Part D: Transport and Environment 51, 314-325, 2017 | 85 | 2017 |
| Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity C Ding, X Cao, B Yu, Y Ju Transportation Research Part A: Policy and Practice 148, 22-35, 2021 | 80 | 2021 |
| Non-linear relationships between built environment characteristics and electric-bike ownership in Zhongshan, China C Ding, X Cao, M Dong, Y Zhang, J Yang Transportation Research Part D: Transport and Environment 75, 286-296, 2019 | 77 | 2019 |
