Results 141 to 150 of about 5,817 (258)
Quantifying and Forecasting Emission Reductions in Urban Mobility: An IoT-Driven Bike-Sharing Analysis. [PDF]
Sensors (Basel)Uche-Soria M +3 more
europepmc +1 more source
Travel patterns of free-floating e-bike-sharing users before and during COVID-19 pandemic. [PDF]
Cities, 2023 Choi SE, Kim J, Seo D.
europepmc +1 more source
Neurourology and Urodynamics, EarlyView.ABSTRACT Introduction Pelvic organ prolapse is a common condition and many women seek surgical treatment for prolapse symptoms. However, recurrence of prolapse after surgical treatment is common. A think tank was held at ICI‐RS 2025 to discuss how the assessment and indifferent results from conservative and surgical management can be improved.
Rohna Kearney +9 more
wiley +1 more source
Optimizing urban bike-sharing systems: a stochastic mathematical model for infrastructure planning. [PDF]
Cent Eur J Oper ResAhmadi SA, Ghasemi P, Ehmke JF.
europepmc +1 more source
Understanding Bike-sharing Mobility Patterns in Response to the COVID-19 Pandemic
, 2022 jia j, Liu C, Zhang H, Xiao Y, Wang X.
europepmc +1 more source
On‐Time Meal Delivery Assisted by Drone Resupply
Naval Research Logistics (NRL), EarlyView.ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that ...
Wenqian Liu, Lindong Liu, Xiangtong Qi
wiley +1 more source
A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining. [PDF]
Entropy (Basel), 2022 Zhou S +5 more
europepmc +1 more source
Leveraging Public Transit for Robotic Deliveries: A Column Generation Approach
Naval Research Logistics (NRL), EarlyView.ABSTRACT Autonomous mobile robots (AMRs) are small, electric, wheeled vehicles that operate at pedestrian speeds. In the last‐mile delivery service considered in this study, a fleet of AMRs is deployed across multiple recharging depots within a service area, from which they depart to perform point‐to‐point deliveries. We consider an operational setting
Yishay Shapira, Mor Kaspi
wiley +1 more source
A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks. [PDF]
PeerJ Comput SciZhou C, Hu J, Zhang X, Li Z, Yang K.
europepmc +1 more source