Chengxiang Zhuge

An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction

Fuel and infrastructure options for electrifying public transit: A data-driven micro-simulation approach

Short-term electric vehicle charging demand prediction: A deep learning approach

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

Short-term electric vehicle battery swapping demand prediction: Deep learning methods

Dominant charging location choice of commuters and non-commuters: a big data approach

Deploying Battery Swap Stations for Electric Freight Vehicles Based on Trajectory Data Analysis

Deploying battery swap stations for shared electric vehicles using trajectory data

Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications

Exploring the role of technology innovations in the diffusion of electric vehicle with an agent-based spatial integrated model

The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing

The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach

Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China

A Comparative Study of En Route Refuelling Behaviours of Conventional and Electric Vehicles in Beijing, China

Empirical Analysis of Parking Behaviour of Conventional and Electric Vehicles for Parking Modelling: A Case Study of Beijing, China

Investigating the factors influencing the uptake of electric vehicles in Beijing, China: Statistical and spatial perspectives

An agent- and GIS-based virtual city creator: A case study of Beijing, China