With the Business Model Canvas for Mobility and Energy Solutions this paper provides an illustrative framework for the business model innovation process for mobility and energy solutions.

In this work, the authors propose a data-driven approach for integrating a machine learning model to predict arbitrary charge profiles into a smart charging algorithm.

In this paper, the cost-effectiveness of achieving emissions reductions through EV subsidy programs is evaluated with respect to each provincial electricity system in Canada.

This study analyzes the penetration by battery electric vehicles (BEVs) in Germany and examines two influential factors – policy measures and disclosing consumer-oriented total cost of ownership (TCOC) information.

The developments in electric vehicles (EVs) are driven by the agenda of cleaner and more efficient transport. The manufacturing cost of EVs are higher than that of internal combustion engine vehicles (ICEVs) mainly due to cost of batteries.

The study takes a qualitative approach in order to provide insight into actual EV users’ perceptions of V2G technology and their underlying motivation to accept or not accept V2G.

Every day, city logistics faces environmental challenges in promoting and sustaining a cleaner transportation environment that prioritises emissions, traffic noise, and congestion reduction.

The present study investigates the perceptions of drivers of three prominent paratransit modes toward ERs. The research also provides a better understanding of the socio-economic conditions of these paratransit drivers. The study utilizes data of 620 paratransit drivers obtained from a face-to-face survey conducted in Delhi, India.

This study investigates the potential for PEV adoption in India, the challenges in meeting the country’s goals and ways to overcome them. The authors utilize a survey of 51 experts in the Indian light-duty vehicle (LDV) ecosystem to address these questions.

The research in this paper highlights the interdependency between electrified mobility, and the mining, metals and materials industries.