Service operations of electric vehicle carsharing systems from the perspectives of supply and demand: A literature review

Z Yao, M Gendreau, M Li, L Ran, Z Wang - Transportation Research Part C …, 2022 - Elsevier
Electric vehicle carsharing (EV-carsharing) systems not only change how people travel, but
also provide economic and environmental benefits. However, EV-carsharing systems also …

FairCharge: A data-driven fairness-aware charging recommendation system for large-scale electric taxi fleets

G Wang, Y Zhang, Z Fang, S Wang, F Zhang… - Proceedings of the …, 2020 - dl.acm.org
Our society is witnessing a rapid taxi electrification process. Compared to conventional gas
taxis, a key drawback of electric taxis is their prolonged charging time, which potentially …

Deep trip generation with graph neural networks for bike sharing system expansion

Y Liang, F Ding, G Huang, Z Zhao - Transportation Research Part C …, 2023 - Elsevier
Bike sharing is emerging globally as an active, convenient, and sustainable mode of
transportation. To plan successful bike-sharing systems (BSSs), many cities start from a …

Dynamic flow distribution prediction for urban dockless e-scooter sharing reconfiguration

S He, KG Shin - Proceedings of the web conference 2020, 2020 - dl.acm.org
Thanks to recent progresses in mobile payment, IoT, electric motors, batteries and location-
based services, Dockless E-scooter Sharing (DES) has become a popular means of last …

sharedcharging: Data-driven shared charging for large-scale heterogeneous electric vehicle fleets

G Wang, W Li, J Zhang, Y Ge, Z Fu, F Zhang… - Proceedings of the …, 2019 - dl.acm.org
Our society is witnessing a rapid vehicle electrification process. Even though being
environmental-friendly, electric vehicles have not reached their full potentials due to …

Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network

Y Liang, Z Zhao, F Ding, Y Tang, Z He - Information Fusion, 2024 - Elsevier
Due to its various social and environmental benefits, bike sharing has been gaining
popularity worldwide and, in response, many cities have gradually expanded their bike …

A static relocation strategy for electric car-sharing systems in a vehicle-to-grid framework

L Caggiani, LP Prencipe, M Ottomanelli - Transportation Letters, 2021 - Taylor & Francis
ABSTRACT Car-Sharing Systems (CSSs) are becoming increasingly popular in urban areas
replacing car ownership. The most attractive CSSs give users the opportunity to make one …

Understanding user behavior in car sharing services through the lens of mobility: Mixing qualitative and quantitative studies

G Wang, HR Vaish, H Sun, J Wu, S Wang… - Proceedings of the ACM …, 2020 - dl.acm.org
Qualitative and quantitative user studies can reveal valuable insights into user behavior,
which in turn can assist system designers in providing better user experiences. Car sharing …

Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction

M Abouelela, C Lyu, C Antoniou - Data Science for Transportation, 2023 - Springer
The urban transportation landscape has been rapidly growing and dynamically changing in
recent years, supported by the advancement of information and communication …

RePiDeM: A refined POI demand modeling based on multi-source data

R Yu, D Ye, J Li - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
Point-of-Interest (POI) demand modeling in urban regions is critical for building smart cities
with various applications, eg, business location selection and urban planning. However …