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As noted above, few epidemiologic studies relating respiratory health risks to traffic-related pollution have used actual pollution measurements or have validated their surrogate measures of traffic (Brauer et al. 2007; Gauderman et al. 2005; Hoek et al. 2002; Janssen et al. 2003; Nicolai et al. 2003).
Measures of traffic activity strongly depend on the medium access technique of the sensed network.
Our results can be used for better evaluation of traffic system reliability and mitigation measures of traffic jams.
The log-linear crash prediction model contains precursor variables that reflect various real-time measures of traffic conditions.
The measures of traffic conditions, termed crash precursors, represent the traffic flow conditions a short time prior to a crash occurrence.
Several associations were found between objective measures of traffic volume, traffic speed, and crashes with leisure, walking, and transportation activity in Forsyth County, NC; however, in Jackson, MS, only traffic volume was associated with any of the physical activity outcomes.
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In addition, measures of traffic-related air pollution are often correlated with other environmental exposures.
To predict residential BC level, we developed a validated spatiotemporal land-use regression model to predict 24-hr measures of traffic-related pollution exposure using data from more than 80 locations in the greater Boston area.
Although this analysis provides new evidence regarding traffic-related health impacts at the local scale, the cross-sectional nature of the study and the use of surrogate rather than direct measures of traffic-related noise and air pollution are limitations.
We found associations between long-term measures of traffic-related air pollution at the residence and mortality from cardiovascular disease and all causes, in agreement with previous studies [ 1- 9].
Given the high correlation between measures of traffic-related air pollution and noise (Allen et al. 2009; Davies et al. 2009), it is possible that the associations observed for one exposure are attributable to the other.
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measures of noise
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