Low emission zones (LEZ) are areas where the most polluting vehicles are restricted or deterred from entering. In recent years, LEZ became a popular option to reduce traffic-related air pollution and have been implemented in many cities worldwide, notably in Europe. However, the evidence about their effectiveness is inconsistent. This calls for the development of tools to evaluate ex-ante the air quality impacts of a LEZ. The integrated modelling approach we propose in this paper aims to respond to this call. It links a transportation model with an emissions model and an air quality model operating over a GIS-based platform. Through the application of the approach, it is possible to estimate the changes induced by the creation of a LEZ applied to private cars with respect to air pollution levels not only inside the LEZ, but also, more generally, in the city where it is located. The usefulness of the proposed approach was demonstrated for a case study involving the city of Coimbra (Portugal), where the creation of a LEZ is being sought to mitigate the air quality problems that its historic centre currently faces. The main result of this study was that PM10 and NO2 emissions from private cars would decrease significantly inside the LEZ (63% and 52%, respectively) but the improvement in air quality would be small and exceedances to the air pollution limits adopted in the European Union would not be fully avoided. In contrast, at city level, total emissions increase and a deterioration of air quality is expected to occur.
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http://dx.doi.org/10.1016/j.jenvman.2016.04.031 | DOI Listing |
BMC Med
January 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.
Background: The co-occurrence of diabetes and mental disorders is an exceedingly common comorbidity with poor prognosis. We aim to investigate the impact of green space, garden space, and the natural environment on the risk of mental disorders among the population living with diabetes.
Methods: We performed a longitudinal analysis based on 39,397 participants with diabetes from the UK Biobank.
BMC Public Health
January 2025
School of Public Health, Xinjiang Medical University, Urumqi, 830017, China.
Background: Systematic documentation of morbidity with exposure assessment in a large group of lead (Pb)-exposed workers in China.
Methods: Using the cluster sampling method, Pb-exposed workers were recruited from a factory in the Henan Province, China. The morbidity information and blood lead concentration (BLC) from each worker were collected.
Sci Rep
January 2025
School of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
The acceleration of urbanization has significantly exacerbated climate change due to excessive anthropogenic carbon emissions and air pollutants. Based on data from 281 prefecture-level cities in China between 2015 and 2021. The spatiotemporal co-evolution of urban carbon emissions and air pollutants was analyzed through map visualization and kernel density estimation, revealing non-equilibrium and heterogeneity.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Background: Dedicated breast computed tomography (bCT) systems offer detailed imaging for breast cancer diagnosis and treatment. As new bCT generations are developed, it is important to evaluate their imaging performance and dose efficiency to understand differences over previous models.
Purpose: To characterize the imaging performance and dose efficiency of a second-generation (GEN2) bCT system and compare them to those of a first-generation (GEN1) system.
BMJ Open Respir Res
January 2025
Fundació de Recerca Clínic Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Barcelona, Spain.
Introduction: Reducing unplanned hospital admissions in chronic patients at risk is a key area for action due to the high healthcare and societal burden of the phenomenon. The inconclusive results of preventive strategies in patients with chronic obstructive respiratory disorders and comorbidities are explainable by multifactorial but actionable factors.The current protocol (January 2024-December 2025) relies on the hypothesis that intertwined actions in four dimensions: (1) management change, (2) personalisation of the interventions based on early detection/treatment of acute episodes and enhanced management of comorbidities, (3) mature digital support and (4) comprehensive assessment, can effectively overcome most of the limitations shown by previous preventive strategies.
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