Applications of 3D city models: State of the art review

F Biljecki, J Stoter, H Ledoux, S Zlatanova… - … International Journal of …, 2015 - mdpi.com
In the last decades, 3D city models appear to have been predominantly used for
visualisation; however, today they are being increasingly employed in a number of domains …

Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States

Q Di, I Kloog, P Koutrakis, A Lyapustin… - … science & technology, 2016 - ACS Publications
A number of models have been developed to estimate PM2. 5 exposure, including satellite-
based aerosol optical depth (AOD) models, land-use regression, or chemical transport …

Estimate annual and seasonal PM1, PM2. 5 and PM10 concentrations using land use regression model

M Miri, Y Ghassoun, A Dovlatabadi… - Ecotoxicology and …, 2019 - Elsevier
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 …

Spatial analysis and risk assessment of urban BTEX compounds in Urmia, Iran

A Mohammadi, Y Ghassoun, MO Löwner… - Chemosphere, 2020 - Elsevier
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 …

Land use regression modelling of PM2. 5 spatial variations in different seasons in urban areas

T Shi, Y Hu, M Liu, C Li, C Zhang, C Liu - Science of the Total Environment, 2020 - Elsevier
As one of the principal components of haze, fine particulate matter (PM 2.5) has potential
negative health effects, causing widespread concern. Identification of the pollutant spatial …

A GIS-based mapping methodology of urban green roof ecosystem services applied to a Central European city

L Grunwald, J Heusinger, S Weber - Urban Forestry & Urban Greening, 2017 - Elsevier
Green roofs provide a number of different urban ecosystem services (UESS), eg regulation
of microclimate, support of air quality improvement, or stormwater retention. To estimate the …

Identifying low-PM2. 5 exposure commuting routes for cyclists through modeling with the random forest algorithm based on low-cost sensor measurements in three …

TG Wu, YD Chen, BH Chen, KH Harada, K Lee… - Environmental …, 2022 - Elsevier
Cyclists can be easily exposed to traffic-related pollutants due to riding on or close to the
road during commuting in cities. PM 2.5 has been identified as one of the major pollutants …

Development of a microscale land use regression model for predicting NO2 concentrations at a heavy trafficked suburban area in Auckland, NZ

LF Weissert, JA Salmond, G Miskell… - Science of the Total …, 2018 - Elsevier
Land use regression (LUR) analysis has become a key method to explain air pollutant
concentrations at unmeasured sites at city or country scales, but little is known about the …

Robustness of intra urban land-use regression models for ultrafine particles and black carbon based on mobile monitoring

J Kerckhoffs, G Hoek, J Vlaanderen, E van Nunen… - Environmental …, 2017 - Elsevier
Land-use regression (LUR) models for ultrafine particles (UFP) and Black Carbon (BC) in
urban areas have been developed using short-term stationary monitoring or mobile …

Development and comparison of air pollution exposure surfaces derived from on-road mobile monitoring and short-term stationary sidewalk measurements

L Minet, R Liu, MF Valois, J Xu… - … science & technology, 2018 - ACS Publications
Land-use regression (LUR) models of air pollutants are frequently developed on the basis of
short-term stationary or mobile monitoring approaches, which raises the question of whether …