[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 …
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
[HTML][HTML] A review on street view observations in support of the sustainable development goals
With limited time to achieve the 2030 Agenda for Sustainable Development, the world needs
effective, scalable approaches to measure and monitor global progress toward the 17 …
effective, scalable approaches to measure and monitor global progress toward the 17 …
National Land Use Regression Model for NO2 Using Street View Imagery and Satellite Observations
Land use regression (LUR) models are widely applied to estimate intra-urban air pollution
concentrations. National-scale LURs typically employ predictors from multiple curated …
concentrations. National-scale LURs typically employ predictors from multiple curated …
Deep-AIR: A hybrid CNN-LSTM framework for fine-grained air pollution estimation and forecast in metropolitan cities
Air pollution presents a serious health challenge in urban metropolises. While accurately
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …
Prediction of short-term ultrafine particle exposures using real-time street-level images paired with air quality measurements
Within-city ultrafine particle (UFP) concentrations vary sharply since they are influenced by
various factors. We developed prediction models for short-term UFP exposures using street …
various factors. We developed prediction models for short-term UFP exposures using street …
Design, calibration, and testing of a mobile sensor system for air pollution and built environment data collection: The urban scanner platform
This paper describes a mobile air pollution sampling system, the Urban Scanner, which
aims at gathering dense spatiotemporal air quality data to support urban air quality and …
aims at gathering dense spatiotemporal air quality data to support urban air quality and …
National empirical models of air pollution using microscale measures of the urban environment
National-scale empirical models of air pollution (eg, Land Use Regression) rely on predictor
variables (eg, population density, land cover) at different geographic scales. These models …
variables (eg, population density, land cover) at different geographic scales. These models …
Evaluating objective and perceived ecosystem service in urban context: An indirect method based on housing market
Ecosystem service (ES) evaluation is usually based on the stocks of natural resources and
their functions. However, the value of ES in the urban area depends on human activities …
their functions. However, the value of ES in the urban area depends on human activities …
Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO2 Concentrations Using Measurements Sampled with Google Street View Cars
High-resolution air quality (AQ) maps based on street-by-street measurements have become
possible through large-scale mobile measurement campaigns. Such campaigns have …
possible through large-scale mobile measurement campaigns. Such campaigns have …
[HTML][HTML] Self-supervised learning unveils urban change from street-level images
Cities around the world are grappling with multiple interconnected challenges, including
population growth, shortage of affordable and decent housing, and the need for …
population growth, shortage of affordable and decent housing, and the need for …