There is an ongoing, revolutionary transformation occurring across the globe. This
transformation is altering established processes, disrupting traditional business models and …

The ongoing global race for bigger and better artificial intelligence (AI) systems is expected
to have a profound societal and environmental impact by altering job markets, disrupting …

Understanding the usage demand of shared mobility systems in different areas of a city and
its determinants is crucial for planning, operation and management of the systems. This …

Steady growth in global greenhouse gas emissions from transport is driven by growing
demand for car travel. A sizable body of research investigates influences of urban form on …

Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph
neural networks (GNNs) have become one of the most popular methods in recent years …

Abstract Generative Adversarial Network (GAN) is widely used in many generative
problems, including in spatial information sciences and urban systems. The data generated …

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 …

Urban areas represent key opportunities for mitigation efforts through supporting renewable
energy systems, improving urban planning, and increasing resource efficiency. This …

City-level policies are increasingly recognized as key components of strategies to reduce
transport greenhouse gas emissions. However, at a global scale, their total efficiencies …

Limited studies have examined the relationship between combinational features of the built
environment and metro ridership. In this study, we applied the gradient boosting regression …