no code implementations • 2 Apr 2022 • Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang
Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip.
no code implementations • 5 Jul 2022 • Yuan Liang, Bingjie Yu, Xiaojian Zhang, Yi Lu, Linchuan Yang
To this end, this study applies difference-in-differences (i. e., a regression-based causal inference approach) to empirically evaluate the effects of the congestion tax policy on ridesourcing demand and traffic congestion in Chicago.
1 code implementation • 12 May 2023 • Wang Chen, Jintao Ke, Linchuan Yang
Dynamic ride-sharing services, including ride-pooling offered by ride-hailing platforms and demand-responsive buses, have become an essential part of urban mobility systems.
no code implementations • 9 Dec 2023 • Taijie Chen, Zijian Shen, Siyuan Feng, Linchuan Yang, Jintao Ke
To simultaneously maximize multiple system performance metrics for matching radius determination, we devise a novel multi-task learning algorithm that enhances convergence speed of each task (corresponding to the optimization of one metric) and delivers more accurate overall predictions.