The greenhouse gas emissions footprint and global warming potential are widely-used for
environmental sustainability studies. However, environmental sustainability is far wider than …

Green infrastructure (GI) in urban areas may be adopted as a passive control system to
reduce air pollutant concentrations. However, current dispersion models offer limited …

The correct prediction of air pollutants dispersed in urban areas is of paramount importance
to safety, public health and a sustainable environment. Vehicular traffic is one of the main …

The frontal area index (FAI) is an essential parameter for assessing underlying roughness
and analyzing urban ventilation corridors. Since the early 1990s, FAI has gradually gained …

Due to the worldwide trend of industrialization and urbanization, air pollutants were emitted
heavily on a global scale particularly in developing countries, which produces adverse …

Exposure to ambient particulate matter (PM) can increase mortality and morbidity in urban
area. In this study, annual and seasonal spatial pattern of PM 1, PM 2.5 and PM 10 …

Abstract Land Use Regression models (LUR) are the most common tools to estimate intra-
urban air pollutant exposure in epidemiological studies. However, number of available and …

Urban areas are currently facing new and enormous challenges: urbanization, connected
and automated land and air transport with new demand for transport and logistic services …

With the continuous development of global urbanization, the urban heat island effect has
increasingly become one of the important factors that reduces the quality of urban life …

In this study, we reviewed the application of land use regression (LUR) models in various
regions worldwide to provide insight into approaches utilized for LUR models. We also …