Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network

S Wang, A Chen, P Wang, C Zhuge - Transportation Research Part C …, 2023 - Elsevier
Abstract Short-term Electric Vehicle (EV) charging demand prediction is an essential task in
the fields of smart grid and intelligent transportation systems, as understanding the …

Modeling the preference of electric shared mobility drivers in choosing charging stations

Y Guo, X Qian, T Lei, S Guo, L Gong - Transportation Research Part D …, 2022 - Elsevier
Electric vehicles for urban shared mobility services are important customers at public
charging stations, and understanding their charging behavior is essential to the charging …

Critical success factors for the adoption of AVs in sustainable urban transportation

N Zarbakhshnia, Z Ma - Transport Policy, 2024 - Elsevier
Abstract Before integrating Autonomous Vehicles (AVs) into transportation systems, it's
important to evaluate various aspects to facilitate their adoption. Numerous factors are likely …

An empirical analysis of electric vehicles' charging patterns

Z Li, Z Xu, Z Chen, C Xie, G Chen, M Zhong - Transportation Research Part …, 2023 - Elsevier
Automotive electrification is a vital component of the carbon-neutrality agenda. To counter
the influence of shrinking public incentives for purchasing electric vehicles (EVs), it is crucial …

A profitability assessment of fast-charging stations under vehicle-to-grid smart charging operation

G Zhou, Y Zhao, CS Lai, Y Jia - Journal of Cleaner Production, 2023 - Elsevier
Abstract Vehicle-to-grid (V2G) technology, a key driver for reducing carbon emissions and
promoting sustainability, promises significant economic benefits through efficient energy …

Data-driven vulnerability analysis of shared electric vehicle systems to cyberattacks

F Wang, C Zhuge, A Chen - Transportation Research Part D: Transport and …, 2024 - Elsevier
Disruptions to electric vehicle charging infrastructure can hinder consumers' confidence and
impact the performance of shared electric vehicle (SEV) systems. This study focuses on SEV …

A large-scale empirical study on impacting factors of taxi charging station utilization

H Cai, F Wu, Z Cheng, B Li, J Wang - Transportation Research Part D …, 2023 - Elsevier
Charging station planning is critical in the implementation of public transport electrification.
However, in cities, there is insufficient experience and knowledge of the factors that …

Subway station accessibility and its impacts on the spatial and temporal variations of its outbound ridership

X Li, G Xing, X Qian, Y Guo, W Wang… - … Engineering, Part A …, 2022 - ascelibrary.org
Understanding the influencing factors of subway station outbound ridership provides sights
into current subway system operations and future expansion needs. The accessibility of a …

Multi-Objective Planning Optimization of Electric Vehicle Charging Stations With Coordinated Spatiotemporal Charging Demand

J Zhu, F Chen, S Liu, Y An, N Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Proper planning of charging infrastructure can significantly facilitate the popularization of
electric vehicles and alleviate users' mileage anxiety. Charging station siting and sizing are …

Towards a multimodal charging network: Joint planning of charging stations and battery swapping stations for electrified ride-hailing fleets

Z Lai, S Li - Transportation Research Part B: Methodological, 2024 - Elsevier
This paper considers a multimodal charging network in which charging stations and battery
swapping stations are jointly built to support an electric ride-hailing fleet synergistically. Our …