Next Article in Journal
Sitting Time, Physical Activity and Sleep by Work Type and Pattern—The Australian Longitudinal Study on Women’s Health
Next Article in Special Issue
Understanding the Challenges of Improving Sanitation and Hygiene Outcomes in a Community Based Intervention: A Cross-Sectional Study in Rural Tanzania
Previous Article in Journal
Pedestrians in Traffic Environments: Ultrafine Particle Respiratory Doses
Previous Article in Special Issue
Impact of Particulate Matter Exposure and Surrounding “Greenness” on Chronic Absenteeism in Massachusetts Public Schools
Open AccessArticle

Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities

INERIS (French National Institute for Industrial Environment and Risks), 60550 Verneuil-en-Halatte, France
Author to whom correspondence should be addressed.
Academic Editors: Jayajit Chakraborty, Sara E. Grineski and Timothy W. Collins
Int. J. Environ. Res. Public Health 2017, 14(3), 291;
Received: 2 December 2016 / Revised: 23 February 2017 / Accepted: 8 March 2017 / Published: 10 March 2017
The study explores spatial data processing methods and the associated impact on the characterization and quantification of a combined health risk indicator at a regional scale and at fine resolution. To illustrate the methodology of combining multiple publicly available data sources, we present a case study of the Lorraine region (France), where regional stakeholders were involved in the global procedures for data collection and organization. Different indicators are developed by combining technical approaches for assessing and characterizing human health exposure to chemical substances (in soil, air and water) and noise risk factors. The results permit identification of pollutant sources, determinants of exposure, and potential hotspot areas. A test of the model’s assumptions to changes in sub-indicator spatial distribution showed the impact of data transformation on identifying more impacted areas. Cumulative risk assessment permits the combination of quantitative and qualitative evaluation of health risks by including stakeholders in the decision process, helping to define a subjective conceptual analysis framework or assumptions when uncertainties or knowledge gaps operate. View Full-Text
Keywords: cumulative; exposure; spatial; environmental inequalities cumulative; exposure; spatial; environmental inequalities
Show Figures

Figure 1

MDPI and ACS Style

Caudeville, J.; Ioannidou, D.; Boulvert, E.; Bonnard, R. Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities. Int. J. Environ. Res. Public Health 2017, 14, 291.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop