Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Urban transport provides access to multiple services, structures and impedes daily life of
residents, and translates into wellbeing considerations, sustainability impacts, and GHG …

In all cities and urban areas, the risk faced by people and assets from hazards associated
with climate change has increased (high confidence1). Urban areas are now home to 4.2 …

Assessment of the social science literature and regional case studies reveals how social
norms, culture, and individual choices, interact with infrastructure and other structural …

Abstract Mobility as a Service (MaaS) is a recent concept that is gaining momentum in both
the scientific world and the private sector. First studies and field trials–essentially conducted …

This paper provides a review of the literature on ride-hailing applications (RHA) in Southeast
Asia (SEA) to enhance the understanding of RHA's impacts on the urban transportation …

Urban street space is increasingly contested. However, it is unclear what a fair street space
allocation would look like. We develop a framework of ten ethical principles and three …

The last decade witnessed a rapid rise in shared mobility in China. However, there is lack of
understanding how the shared mobility market developed, how shared mobility reshapes …

The extent to which MaaS might contribute to gender equity in transport has been
considered by some; however, the level of attention paid to the topic varies enormously, and …

Research provides evidence that ride-sourcing has not only substituted for private transport
but also public transport. For further investigation of this substitution effect, this paper …