Traditional Artificial Intelligence (AI) technologies used in develo** smart cities solutions,
Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best …

This paper aims to construct a theoretical research framework for sustainable urban freight
transport (SUFT) from the perspectives of future urban development and distribution …

The study of urban form as a central interest of architects, planners, and urban designers
has faced various challenges over time, affecting the representation of this topic in the …

With the development of machine learning and computer simulation technology, green
urban garden landscapes have also made breakthrough progress in modeling. Based on …

Buildings shape cities as those cities grow from and nurture people living and working within
the built environment. Thus, the conceptualization of smart building should be brought closer …

State of the art mass transit systems, such as bus rapid transit (BRT), have appeared to be
an innovative solution to meet the mobility needs of many world cities. However, their ability …

Life course events can change household travel demand dramatically. Recent studies of car
ownership have examined the impacts of life course events on the purchasing, replacing …

The multifunctionality of urban elements is inevitable in the growing complexity of cities to
make highly nested social and spatial contexts resilient to unexpected conditions. The …