Category of intervention | Regulatory |
---|---|
Regulatory policy | airborne pollutants |
Year | 2011 |
Author | Dallmann, T. |
Title | Effects of Diesel Particle Filter Retrofits and Accelerated Fleet Turnover on Drayage Truck Emissions at the Port of Oakland |
Journal | Environmental Science & Technology |
Location | Oakland, CA |
Study design | Interrupted time series |
Study aim | Measure emissions for drayage trucks operating at the Port of Oakland before and after the implementation of diesel particle filter retrofits and truck replacements. |
Inclusion criteria | Diesel trucks driving to the Port of Oakland on 7th Street |
Exclusion criteria | Trucks entering from other points |
Population | 3550 trucks passing the field sampling site on four dates in 2009–2010 during sampling periods |
Sample size (treatment/control) | 3550 trucks, ~70Â % estimated to be drayage trucks |
Exposure | Air sampling line extended above vertical exhaust stacks of trucks driving below overpass sampling site |
Intervention | Diesel particlate filter retrofits and accelerated truck replacement (no breakdown) |
Duration of intervention | 4 weekday sampling periods ranging from 2.75 to 6.5Â h over 7Â months (Nov 2009-Jun 2010) |
Comparison | Pre- and post-implementation of the California Air Resources Board drayage truck emission control regulation (2010) |
Outcomes measures | levels of carbon dioxide, nitrogen dioxide, black carbon, particulate matter |
Outcome verification (if self-reported) | air quality samples drawn to gas and particulate phase analyzers |
Effect modifiers measured | n/a |
Results | CO2: not reported; NO: decrease of 40Â %; BC: reduction of 50Â %; PM: 5x increase in trucks with no measurable PM, emissions data not reported due to poor instrument response; summary: reductions in BC caused by retrofit/replacement, reductions in NO caused by replacement |
Risk of bias | choice of observation dates, concealment of allocation, blinding: not described; incomplete outcome data: emissions for CO2 and PM not reported |
Funding source | Bay Area Air Quality Management District, University of California research program in sustainable transportation |
Additional information | Â |