[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …

X Ma, B Zou, J Deng, J Gao, I Longley, S Xiao… - Environment …, 2024 - Elsevier
Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …

[HTML][HTML] Application of land use regression model to assess outdoor air pollution exposure: A review

WNFW Azmi, TR Pillai, MT Latif, S Koshy… - Environmental …, 2023 - Elsevier
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 …

Assessing the spatiotemporal characteristics, factor importance, and health impacts of air pollution in Seoul by integrating machine learning into land-use regression …

Y Li, T Hong, Y Gu, Z Li, T Huang, HF Lee… - Environmental …, 2023 - ACS Publications
Previous studies have characterized spatial patterns of air pollution with land-use regression
(LUR) models. However, the spatiotemporal characteristics of air pollution, the contribution …

[HTML][HTML] Europe-wide high-spatial resolution air pollution models are improved by including traffic flow estimates on all roads

Y Shen, K de Hoogh, O Schmitz, J Gulliver… - Atmospheric …, 2024 - Elsevier
Road traffic is an important source of noise and air pollution. Modelling of air pollution and
noise therefore requires detailed information on annual average daily traffic (AADT) flows on …

Ground-level NO2 concentration estimation based on OMI tropospheric NO2 and its spatiotemporal characteristics in typical regions of China

Y Chi, M Fan, C Zhao, L Sun, Y Yang, X Yang… - Atmospheric Research, 2021 - Elsevier
Although the ground-level NO 2 measurement from air quality monitoring sites is relatively
accurate, it is a challenge to obtain continuous spatial coverage due to the discrete …

Application of a taxi-based mobile atmospheric monitoring system in Cangzhou, China

Y Wu, Y Wang, L Wang, G Song, J Gao, L Yu - Transportation research part …, 2020 - Elsevier
Increasing air pollution as a result of rapid urbanization is of growing concern worldwide,
particularly in populous developing countries. Sparse routine monitoring stations are not …

[HTML][HTML] Development of land use regression models to characterise spatial patterns of particulate matter and ozone in urban areas of Lanzhou

T Zhou, S Fang, L Jin, X Li, X Song, Y Wang, X Zhou… - Urban Climate, 2024 - Elsevier
There are still many challenges in Land use regression (LUR) application in cities in China
due to insufficient air pollutants data. In this study, the LUR models of TSP, PM 10, PM 4, PM …

Magnitude and origins of severe urban air contaminants in China during the COVID-19 lockdown: A comprehensive analysis

Q Zhang, Y Zhang, W Zhang, P Wei, Q Wang, Z Li… - Atmospheric …, 2023 - Elsevier
In an attempt to mitigate the spread of COVID-19, China implemented a series of strict
lockdown measures in 2020, such as restricted road usage and reduced population flow, to …

Development of land use regression model to estimate particulate matter (PM10) and nitrogen dioxide (NO2) concentrations in Peninsular Malaysia

WNFW Azmi, TR Pillai, MT Latif, R Shaharudin… - Atmospheric …, 2024 - Elsevier
Nowadays, exposure modelling has become the preferred method for assessing human air
pollution exposure due to its capability to predict air pollution under various conditions. The …

[HTML][HTML] Development and intercity transferability of land-use regression models for predicting ambient PM, PM, NO and O concentrations in northern Taiwan

Z Li, KF Ho, HC Chuang, SHL Yim - Atmospheric Chemistry and …, 2021 - acp.copernicus.org
To provide long-term air pollutant exposure estimates for epidemiological studies, it is
essential to test the feasibility of developing land-use regression (LUR) models using only …