This research aims to assist municipalities in planning their strategic rollouts of public charging infrastructure in size and location.

The theory of planned behavior (TPB) model was utilized in this study to construct a model of purchase intention impact mechanism for electric vehicles (EVs).

This paper presents a study aimed at estimating the role of latent variables when choosing between a seated electric scooter (SES) and a conventional one.

There is an exponential increase in electric vehicles on the road that need a follow up in terms of warranty. The proposed state of warranty (SOW) is a metastate that qualitatively describes the warranty fulfillment level of an electric vehicle

This article proposes a battery fault diagnosis method that achieves joint soft SC fault detection and estimation.

This paper presents the case that progressive taxation, namely a frequent flying levy (FFL), can generate revenues for decarbonization while ensuring equitable distribution of the cost burden.

Public transport is critical to addressing carbon emissions in the transport sector. The study identifies five key areas of implementation to encourage more effective NDCs: Commit to funding public transport infrastructure and operations, bus electrification, adaptation, broader sustainability measures in urban transport, and cross-sectoral and sub-national coordination.

This paper proposes a reformulation of a Mixed-Integer Programming model into a Decentralized Markov Decision Process model. It solves using a Multi-Agent Reinforcement Learning algorithm to address the scalability issues of large-scale smart grid systems.

This study investigates the potential under existing regulatory authority to expand deployment of low-carbon waste-to-electricity pathways, yielding revenue that could be used to subsidize electric vehicle (EV) sales or to support other RFS-aligned climate and transport-sector goals.

This work addresses the multi-objective route planning and charging problem for Battery Electric Vehicles (BEVs).