Health impact assessment of urban and transport developments in Barcelona: A case study.

Background: Urban spaces need to be rethought to address growing health and environmental challenges. Urban density and transport systems contribute significantly to air pollution, negatively impacting public health. Barcelona has begun a transformation by introducing the Superblock model, an urban development with proven health benefits.

Ambient air pollution, urban green space and childhood overweight and obesity: A health impact assessment for Barcelona, Spain.

Background: The burden of childhood overweight and obesity attributable to ambient air pollution and a lack of urban green spaces (UGS) remains unknown. This study aimed to estimate the attributable cases of childhood overweight and obesity due to air pollution and insufficient UGS exposure in Barcelona, Spain.

Methods: We applied a quantitative health impact assessment approach.

Single- and two-pollutant concentration-response functions for PM and NO for quantifying mortality burden in health impact assessments.

Objective: Health Impact Assessments (HIAs) for air pollutant mixtures are challenging because risk estimates are primarily derived from single-pollutant models. Combining risk estimates from multiple pollutants requires new approaches, as a simple addition of single pollutant risk estimates from correlated air pollutants may result in double counting. We investigated approaches applying concentration-response functions (CRFs) from single- and two-pollutant models in HIAs, focusing on long-term exposure to particulate matter with a diameter less than 2.

Commentary: A road map for future data-driven urban planning and environmental health research.

Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.

The impact of urban configuration types on urban heat islands, air pollution, CO emissions, and mortality in Europe: a data science approach.

Background: The world is becoming increasingly urbanised. As cities around the world continue to grow, it is important for urban planners and policy makers to understand how different urban configuration patterns affect the environment and human health. However, previous studies have provided mixed findings.