IEHIAS models:example of transport

From Testiwiki
Jump to: navigation, search
The text on this page is taken from an equivalent page of the IEHIAS-project.

As part of the case studies done in support of development of this Toolbox, an assessment was undertaken of health effects of traffic management policies in several different cities in the EU.

Error creating thumbnail: Unable to save thumbnail to destination

The causal model used in the Helsinki case study is shown in the image.

The policy evaluated was the congestion charge zone (CCZ). The causal model was developed based upon the generic transport assessment protocol dapplied in all the study areas, but this was necessarily adapted to represent the specific policy assessed. The generic protocol started out with listing all the exposures and health effects associated with motorised road traffic. Problems related to transport identified were air pollution, climate change, water and soil pollution, transport accidents and injuries, traffic noise, physical inactivity, psychological and social effects, but also problems such as the use of fossil fuels, and the loss of public space/land/natural habitats etc.

In many settings, traffic congestion and resulting (economic) losses is considered as a major problem. Congestion is therefore an important rationale for policies to reduce traffic flows. Accordingly, we then assessed which of these stressors were likely to be most important and could be quantified. The policy in Helsinki was anticipated to change the traffic intensity, traffic speed and the distribution of trips over different modes of transport (away from private car use to public transport and active transportation including cycling and walking). On this basis, attention was focused especially on four likely areas of impact: air pollution, noise, traffic accidents and physical activity. These formed the overall framework for the assessment. For practical reasons (of time and resources), however, the case study ultimately focused further on just two issues: air pollution and noise.

The causal model was built in consultation with the other members of the assessment team, Dutch stakeholders (especially the Ministry of Transport and local authorities) and stakeholders from the municipality of Helsinki.

See also

Integrated Environmental Health Impact Assessment System
IEHIAS is a website developed by two large EU-funded projects Intarese and Heimtsa. The content from the original website was moved to Opasnet.
Topic Pages

Boundaries · Population: age+sex 100m LAU2 Totals Age and gender · ExpoPlatform · Agriculture emissions · Climate · Soil: Degredation · Atlases: Geochemical Urban · SoDa · PVGIS · CORINE 2000 · Biomarkers: AP As BPA BFRs Cd Dioxins DBPs Fluorinated surfactants Pb Organochlorine insecticides OPs Parabens Phthalates PAHs PCBs · Health: Effects Statistics · CARE · IRTAD · Functions: Impact Exposure-response · Monetary values · Morbidity · Mortality: Database

Examples and case studies Defining question: Agriculture Waste Water · Defining stakeholders: Agriculture Waste Water · Engaging stakeholders: Water · Scenarios: Agriculture Crop CAP Crop allocation Energy crop · Scenario examples: Transport Waste SRES-population UVR and Cancer
Models and methods Ind. select · Mindmap · Diagr. tools · Scen. constr. · Focal sum · Land use · Visual. toolbox · SIENA: Simulator Data Description · Mass balance · Matrix · Princ. comp. · ADMS · CAR · CHIMERE · EcoSenseWeb · H2O Quality · EMF loss · Geomorf · UVR models · INDEX · RISK IAQ · CalTOX · PANGEA · dynamiCROP · IndusChemFate · Transport · PBPK Cd · PBTK dioxin · Exp. Response · Impact calc. · Aguila · Protocol elic. · Info value · DST metadata · E & H: Monitoring Frameworks · Integrated monitoring: Concepts Framework Methods Needs
Listings Health impacts of agricultural land use change · Health impacts of regulative policies on use of DBP in consumer products
Guidance System
The concept
Issue framing Formulating scenarios · Scenarios: Prescriptive Descriptive Predictive Probabilistic · Scoping · Building a conceptual model · Causal chain · Other frameworks · Selecting indicators
Design Learning · Accuracy · Complex exposures · Matching exposure and health · Info needs · Vulnerable groups · Values · Variation · Location · Resolution · Zone design · Timeframes · Justice · Screening · Estimation · Elicitation · Delphi · Extrapolation · Transferring results · Temporal extrapolation · Spatial extrapolation · Triangulation · Rapid modelling · Intake fraction · iF reading · Piloting · Example · Piloting data · Protocol development
Execution Causal chain · Contaminant sources · Disaggregation · Contaminant release · Transport and fate · Source attribution · Multimedia models · Exposure · Exposure modelling · Intake fraction · Exposure-to-intake · Internal dose · Exposure-response · Impact analysis · Monetisation · Monetary values · Uncertainty