Ensemble forecasting is a modeling approach that combines data sources, models of
different types, with alternative assumptions, using distinct pattern recognition methods. The …

Over the past two decades, governments have used information and communication
technologies (ICTs) to integrate their internal functions and improve their delivery of …

The analysis of big data is deemed to define a new era in urban research, planning and
policy. Real-time data mining and pattern detection in high-frequency data can now be …

Meeting climate mitigation goals would require transformative changes in the transport
sector (high confidence). In 2019, direct greenhouse gas (GHG) emissions from the transport …

Big data analytics and artificial intelligence, paired with blockchain technology, the Internet
of Things, and other emerging technologies, are poised to revolutionise urban management …

The article examines the impact of the virtual public sphere on how urban spaces are
experienced and conceived in our data-driven society. It places particular emphasis on …

The rapid advancement of information and communication technology has brought a
revolution in the domain of public transport (PT) planning alongside other areas of transport …

There is a growing recognition that optimizing urban form can reduce road transport-related
carbon emissions, particularly in carbon emissions by daily travel. In this study, we proposed …

The sharp rise in popularity of micro-mobility poses significant challenges in terms of
ensuring its safety, addressing its social impacts, mitigating its environmental effects, and …

Smart urban transportation management can be considered as a multifaceted big data
challenge. It strongly relies on the information collected into multiple, widespread, and …