Results 161 to 170 of about 102,951 (211)
Auditing Road-Segment Speed Forecasting Under Sparse Mobile Probe Sensing: A Mask-Consistent Support-Chain Analysis. [PDF]
Wu D +5 more
europepmc +1 more source
Voice in the algorithmic era: how perceived algorithmic control influences gig workers' voice behavior. [PDF]
Liang T, Zhang Y, Xiang D, Zhu L.
europepmc +1 more source
A multi-agent reinforcement learning scheduling algorithm integrating state graph and task graph structural modeling for ride-sharing dispatching. [PDF]
Sha J, Song M, Sui G, Sun H, Dong D.
europepmc +1 more source
The Influence of Ride-Hailing on Travel Frequency and Mode Choice [PDF]
Using data derived from 597 face-to-face interviews with ride-hailing users in Chengdu (China), we examined the influence of ride-hailing on travel frequency and mode choice and further analyzed what the main determinants for these are.
Kunbo Shi, Frank Witlox, Long Cheng
exaly +3 more sources
Is Ride-Hailing Competing or Complementing Public Transport? A Perspective From Affordability
To formulate policies for low-carbon transport development, previous studies largely focus on estimating the substitution effect of ride-hailing travel on public transport, but how transit-dependent people turn to use ride-hailing has not been answered ...
Si Qiao, Anthony Yeh
exaly +2 more sources
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Vehicle Relocation for Ride-Hailing
2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 2020Ever increasing traffic and consequential congestion wastes fuel and is a significant contributor to Green House Gas (GHG) emissions. Contributors here include ride-sharing services such as Uber, Lyft, and Didi, with their drivers not only transporting passengers, but also spending a considerable time in traffic searching for new ones.
Joon-Seok Kim 0001 +2 more
openaire +1 more source
Driving Safety Assessment for Ride-Hailing Drivers
Accident Analysis and Prevention, 2021Ride-hailing services, which have become increasingly prevalent in the last decade, provide an efficient travel mode by matching drivers and travelers via smartphone apps. Ride-hailing services enable millions of non-traditional taxi drivers to provide travel services, but may also raise safety concerns due to heterogeneity in the driver population ...
Xinwei Deng, Feng Guo, Liang Shi
exaly +3 more sources
Dynamic Pricing and Matching in Ride-Hailing Platforms
SSRN Electronic Journal, 2018Abstract Ride‐hailing platforms such as Uber, Lyft, and DiDi have achieved explosive growth and reshaped urban transportation. The theory and technologies behind these platforms have become one of the most active research topics in the fields of economics, operations research, computer science, and transportation ...
Chiwei Yan +3 more
openaire +2 more sources
Competition in Ride-Hailing Markets
2019We present a model for competition between ride-hailing platforms. Riders choose a platform to maximize their utility which is decreasing in price and waiting time. Drivers can accept ride requests from both platforms. Platforms compete via prices over riders and drivers.
AmirMahdi Ahmadinejad +4 more
openaire +2 more sources

