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| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
Pricing and equilibrium in on-demand ride-pooling markets Journal:Transportation Research Part B: Methodological | 2020 | 9 | ||
On ride-pooling and traffic congestion Journal:Transportation Research Part B: Methodological | 2020 | 8 | ||
Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach Journal:Transportation Research Part C: Emerging Technologies | 2021 | 11 | ||
Pareto-efficient regulation in ride-sourcing markets Proceeding/Conference:Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility | 2021 | |||
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services Journal:IEEE Transactions on Intelligent Transportation Systems | 2019 | 10 | ||
A spatio-termporal deep learning approach for short-term prediction of passenger demand Proceeding/Conference:Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017 | 2017 | 7 | ||
Data-driven analysis on matching probability, routing distance and detour distance in ride-pooling services Journal:Transportation Research Part C: Emerging Technologies | 2021 | 7 | ||
The impact of shared mobility services on housing values near subway stations Journal:Transportation Research Part D: Transport and Environment | 2021 | 10 | ||
Managing reservation and allocation of residential parking spaces Proceeding/Conference:Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics | 2015 | 4 | ||
Calibration and validation of matching functions for ride-sourcing markets Journal:Communications in Transportation Research | 2022 | 4 | ||
Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach Journal:Transportation Research Part C: Emerging Technologies | 2017 | 9 | ||
A simple reservation and allocation model of shared parking lots Journal:Transportation Research Part C: Emerging Technologies | 2016 | 7 | ||
Analysis of multi-modal commute behavior with feeding and competing ridesplitting services Journal:Transportation Research Part A: Policy and Practice | 2020 | 6 | ||
Universal laws of matching probability, routing distance and detour distance in on-demand ride-splitting services Proceeding/Conference:Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility | 2021 | |||
Optimizing matching time interval and matching radius in on-demand ride-sourcing markets Journal:Transportation Research Part B: Methodological | 2020 | 9 | ||
A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets Journal:Transportation Research Part B: Methodological | 2021 | 13 | ||
Equilibrium analyses and operational designs of a coupled market with substitutive and complementary ride-sourcing services to public transits Journal:Transportation Research Part E: Logistics and Transportation Review | 2021 | 11 | ||
Modelling and optimizing the real-time matching processes in a ride-sourcing market Proceeding/Conference:Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 | 2018 | 5 | ||
Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles Journal:Transportation Research Part E: Logistics and Transportation Review | 2019 | 5 | ||
Integrated strategies for repositioning, upgrading and pricing in ride-sourcing services Proceeding/Conference:Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility | 2021 | |||
Deep multi-view spatial-temporal network for taxi demand prediction Proceeding/Conference:32nd AAAI Conference on Artificial Intelligence (AAAI-18) | 2018 | 12 | ||
| 2021 | 10 | |||
采用碳纳米管提高纤维砂浆的起裂断裂韧度 Journal:建筑材料学报 | 2017 | 4 | ||
A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand Journal:IEEE Transactions on Intelligent Transportation Systems | 2021 | 23 | ||
To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults Journal:Journal of Transport Geography | 2021 | 16 |