Quality of urban areas and improvement of it have always been considered as one of the main issues in the process of urbanization. It might be possible to consider this importance as the result of fundamental changes in intellectual patterns during the past two decades in one side and its proposal in all aspects of human life on the other side though this is one of the main influential concepts...

We conducted isothermal large-eddy simulations to generate the velocity and concentration distributions investigate air pollution transport from outside inside of a space surrounded by urban-like block arrays. Contrary previous study, we assumed that in form scalars are generated outdoors not indoors which placed at: 1) middle window, 2) near window wall, 3) street canyon at ground level, 4) le...

In this experimental work both qualitative (flow visualisation) and quantitative (laser Doppler anemometry) methods were applied in a wind tunnel in order to describe the complex 3-dimensional flow field in a real environment (a street canyon intersection). The main aim was an examination of the mean flow, turbulence and flow pathlines characterising a complex 3-dimensional urban location. The ...

The purpose of this study is to evaluate the potential for using spaces integrating roads and sidewalks in street canyon as human-centered spaces, investigate more appropriate measures improve thermal environment pedestrians visitors these spaces. Based on spatial distribution SET* throughout day, possible space uses, north–south streets with restricted widths south east–west are candidates. Sp...

The quality of outdoor space is becoming increasingly important with the growing rate urbanization. Visual, acoustic, and thermal balance degradation are all negative impacts associated comfort in dense urban fabrics. Urban morphology thus needs assessment optimization to ensure favorable (OTC). This study aims evaluate performance streets residential zones Liverpool, NSW, Australia, tries impr...

Air pollution presents a serious health challenge in urban metropolises. While accurately monitoring and forecasting air are highly crucial, existing data-driven models have yet fully captured the complex interactions between temporal characteristics of spatial dynamics. Our proposed Deep-AIR fills this gap to provide fine-grained city-wide estimation station-wide forecast, by exploiting domain...