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U.S. Department of Transportation Research and Special |
Draft Environmental Assessment |
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National Highway Traffic
Safety Administration
Corporate Average Fuel
Economy (CAFE) Standards

John A. Volpe National Transportation Systems Center
55 Broadway Street
Cambridge, Massachusetts 02142
| REPORT DOCUMENTATION PAGE | Form Approved OMB No. 0704-0188 |
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| 1. AGENCY USE ONLY (Leave blank) |
2. REPORT DATE December 2002 |
3. REPORT TYPE AND DATES COVERED May 2001 - December 2002 |
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| 4. TITLE AND SUBTITLE National Highway Traffic Safety Administration - Corporate Average Fuel Economy (CAFE) Standards. Draft Environmental Assessment |
5. FUNDING NUMBERS SA20T/S3068 |
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| 6. AUTHOR(S) Jon Anderson3, Kevin Green2, Kristina E. López-Bernal2, José G. Mantilla2, Robert Marville3, Jennifer Papazian2, Don H. Pickrell2, Paul Valihura2, Roger Wayson4 Reviewers: Noble Bowie1, John Donaldson1, Carol J. Hammel-Smith1, Ken Katz1, Orron Kee5 |
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| 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) U.S. Department of Transportation Research and Special Projects Administration John A Volpe National Transportation System Center 55 Broadway Cambridge, MA 02142 |
8. PERFORMING ORGANIZATION REPORT NUMBER |
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| 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) U.S. Department of Transportation National Highway Traffic Safety Administration |
10. SPONSORING/MONITORING AGENCY REPORT NUMBER DOT-VNTSC-NHTSA-01-01 |
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| 11. SUPPLEMENTARY NOTES 1 U.S. DOT, National Highway Traffic Safety Administration; 2 U.S. DOT, John A. Volpe National Transportation Systems Center 3 EG&G Technical Services, Inc.; 4 University of Central Florida; 5 Consultant to NHTSA |
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| 12a. DISTRIBUTION/AVAILABILITY STATEMENT This document is available to the public through the National Technical Information Service, Springfield, Virginia 22161. |
12b. DISTRIBUTION CODE |
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| 13. ABSTRACT (Maximum 200 words) The National Highway Traffic Safety Administration (NHTSA) must set Corporate Average Fuel Economy (CAFE) standards for light trucks. This was authorized by the 1973-74 Energy Policy and Conservation Act, which added Title V: Improving Automotive Fuel Efficiency to the Motor Vehicle Information and Cost Saving Act (now codified at 49 U.S.C. Chapter 329). NHTSA is statutorily required to set CAFE standards at the "maximum feasible level" based on four criteria: technical feasibility, economic practicability, the effect of government motor vehicle standards on fuel economy and the need of the U.S. to conserve energy. With the lifting of the Congressional freeze on CAFE standards in December 2001, NHTSA is proposing new CAFE standards for MY 2005-2007 light trucks. To satisfy the requirements of the National Environmental Policy Act (NEPA), NHTSA, with the assistance of the John A Volpe National Transportation System Center, drafted this Draft Environmental Assessment, assessing the potential environmental impacts associated with the proposed action. |
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| 14. SUBJECT TERMS Corporate Average Fuel Economy (CAFE), standards for light trucks, fuel economy, automotive fuel efficiency |
15. NUMBER OF PAGES | |||||
| 16. PRICE CODE | ||||||
| 17. SECURITY CLASSIFICATION OF REPORT Unclassified |
18. SECURITY CLASSIFICATION OF THIS PAGE Unclassified |
19. SECURITY CLASSIFICATION OF ABSTRACT Unclassified |
20. LIMITATION OF ABSTRACT Unlimited |
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| NSN 7540-01-280-550 |
Standard Form 298 (Rev. 2-89) Prescribed by ANSI Std. 239-18 298-102 |
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INTRODUCTION
This Draft Environmental Assessment (EA) evaluates the potential environmental impacts associated with the National Highway Traffic Safety Administration’s (NHTSA) action to set Corporate Average Fuel Economy (CAFE) Standards for Model Year (MY) 2005-2007 light trucks. The Draft EA was prepared in accordance with the requirements of the National Environmental Policy Act (NEPA), the regulations of the Council on Environmental Quality (40 CFR Part 1500), and NHTSA regulations (49 CFR Part 520). Light trucks are defined as vehicles of 8,500 lbs. gross vehicle weight rating (GVWR) or less, and include pickup trucks, vans (cargo and passenger), minivans, and sport-utility vehicles (SUV) (NHTSA 1998). This Draft EA describes the environment and resources that might be affected by the setting of revised CAFE standards, and assesses the impacts of the proposed action against a baseline of 20.7 mpg (the most recent light truck CAFE standard, through MY 2004).
SUMMARY OF ENVIRONMENTAL CONSEQUENCES
Table ES-1 summarizes and compares the potential impacts for the baseline (20.7 mpg) standard and the Proposed Action. Discussion of specific resources follows the table.
Table ES-1. Summary of Potential Impacts
| Resource | Baseline Standard (20.7 mpg) | Proposed Action |
|---|---|---|
| Energy | Continuation of current energy trends characterized by an increase in fuel consumption for light trucks. | Slower rate of growth in fuel consumption for light trucks. Slower rate of growth in oil exploration and extraction, oil refining, and oil transport. |
| Criteria Pollutant Emissions | Continuation of air quality trends characterized by an increase in criteria pollutant emissions from oil refining and distribution and the operation of light trucks. | Minor increases in CO and VOC emissions and minor reductions in NOx and PM 2.5. Overall minor changes in Air Quality based on extremely small changes in criteria pollutant emissions. |
| Greenhouse Gas Emissions | Increase in GHG emissions from oil refining and distribution and the operation of light trucks. | Reduction of GHG emissions. |
| Water Resources | Continuation of energy and air quality trends. | Minor benefit from reductions in energy consumption GHG emissions and minor changes based on extremely small changes in criteria pollutant emissions. |
| Biological Resources | Continuation of energy and air quality trends. | Minor benefit from reductions in energy consumption GHG emissions and minor changes based on extremely small changes to criteria pollutant emissions. |
| Land Use and Development | No new construction of light truck manufacturing plants. | No new construction of light truck manufacturing plants. |
| Hazardous Materials | Continuation of hazardous materials use and generation trends from the manufacturing of light trucks. | Minor reduction in the rate of growth of the generation of hazardous wastes (oily sludges, spent caustics, spent catalysts, wastewater, maintenance and materials handling wastes, and other process wastes) from the oil refining process. Continuation of hazardous materials use and generation trends from the manufacturing of light trucks. |
Energy. Implementation of the Proposed Action would result in lifetime fuel savings for MY 2005-2007 light trucks of approximately 2.5 billion gallons, and therefore a reduction in oil exploration and extraction, transport, refining, and importation.
Criteria Pollutant Emissions. Implementation of the Proposed Action would result in extremely small changes in emissions of criteria pollutants. In particular, there would be overall increases in emissions of CO and VOC, and overall reductions in emissions of NOX, and PM. On an annual basis, there would be small increases in emissions of CO, VOC (after 2010), and NOX (after 2014), and small reductions in emissions of VOC (up to 2010), NOX (up to 2014), and PM throughout the study period. All changes in criteria pollutants are extremely small when compared to total vehicle and transportation emissions, respectively.
Greenhouse Gas Emissions. Implementation of the Proposed Action would result in extremely small changes in emissions of CO2 (a greenhouse gas). In particular, there would be overall decreases in emissions of CO2. On an annual basis, there would be small decreases in emissions of CO2 throughout the study period. All changes in CO2 are extremely small when compared to total vehicle and transportation emissions, respectively.
Water Resources. The projected reduction in fuel production and consumption should lead to reductions in contamination of water resources. These include oil spills and leaks, pipeline blowouts, oil refinery liquid waste. The Proposed Action could also result in overall reductions in NOX emissions, resulting in benefits to water resources from reduced acid rain generation.
Biological Resources. The projected reduction in fuel production and consumption should lead to minor reductions in impacts to biological resources. These include habitat encroachment and destruction, air and water pollution, and oil contamination from petroleum refining and distribution.
Land Use and Development. Major changes to manufacturing facilities could have implications for environmental issues associated with land use and development. However, analysis of available technologies and manufacturer capabilities indicates that manufacturers would be able to meet the proposed standards by applying technologies rather than, for example, changing product mix in ways that would lead to manufacturing plant changes. Therefore, the Proposed Action would have no impacts on land use or development.
Hazardous Materials. The Proposed Action would not alter the existing regulatory framework governing the transportation or storage of hazardous materials. However, the projected reduction in fuel production and consumption may lead to a reduction in the amount of hazardous wastes created by the oil refining process.
This document accompanies the Notice of Proposed Rulemaking (NPRM) to set light truck fuel economy standards for Model Years (MY) 2005-2007 (67 FR XXXXX). The term "light truck" includes pickup trucks, vans (cargo and passenger), minivans, and sport-utility vehicles (SUV) that have a gross vehicle weight rating (GVWR) up to and including 8,500 pounds.
The National Highway Traffic Safety Administration (NHTSA or "the Agency") analyzed the fuel economy improvement capabilities of light truck manufacturers for MY 2005-2007, with emphasis on the six light truck manufacturers with the largest market share—General Motors, Ford, DaimlerChrysler, Toyota, Honda, and Nissan (NHTSA 2002b). As a result of that analysis, the agency proposes to set the corporate average fuel economy (CAFE) standards at the levels shown in Table 1-1.
Table 1-1. Proposed Fuel Economy Standards for MY 2005-2007 Light Trucks
| Model Year (MY) | CAFE Standard (mpg) |
| 2005 | 21.0 |
| 2006 | 21.6 |
| 2007 | 22.2 |
The National Environmental Policy Act of 1969 (NEPA)[1] and the implementing regulations of the Council on Environmental Quality (CEQ) [2] establish policies and procedures to ensure that information on environmental impacts is available to decision makers, regulatory agencies, and the public before Federal actions are implemented. The John A. Volpe National Transportation Systems Center prepared this Draft Environmental Assessment (EA) to assist NHTSA in evaluating the potential environmental impacts associated with setting light truck fuel economy standards at the levels identified above. This Draft EA satisfies the requirements of the CEQ regulations and NHTSA’s Procedures for Considering Environmental Impacts (49 CFR Part 520) implementing the provisions of NEPA.
In December 1975, in the aftermath of the energy crisis created by the oil embargo of 1973-1974, Congress enacted the Energy Policy and Conservation Act (EPCA). The Act established an automotive fuel economy regulatory program by adding Title V, "Improving Automotive Fuel Efficiency," to the Motor Vehicle Information and Cost Saving Act. Title V has been codified as Chapter 329 of Title 49 of the United States Code. Section 32902(a) of Chapter 329 requires the Secretary of Transportation to prescribe by regulation CAFE standards for light trucks for each model year. That section states that the standard is to be the maximum feasible average fuel economy level that the Secretary decides the manufacturers can achieve in that model year, taking into account four criteria: technological feasibility, economic practicability, the effect of other Government motor vehicle standards on fuel economy, and the need for the United States to conserve energy. (For a detailed description of these criteria refer to the NPRM and Section I-1 of the Preliminary Economic Assessment). The Secretary has delegated the authority to administer the CAFE program to the NHTSA Administrator.
There is a penalty structure in place that dictates that a manufacturer whose light truck fleet does not meet the CAFE standard prescribed for a specific model year is liable to the United States Government for a civil penalty. The CAFE structure also embodies an incentive system whereby energy credits are allocated to manufacturers that exceed the CAFE standard in a given year. The penalty is $5.50 multiplied by each tenth of a mile per gallon that the manufacturer’s light truck fleet fuel economy falls short of the standard for the given year, multiplied by the number of automobiles produced by the manufacturer to which the standard applied during the model year. Manufacturers may carry forward previously earned credits and may carry back future credits for up to three years to account for any credit deficit.
The first fuel economy standards for light trucks - for MY 1979 - were established on March 14, 1977 (42 FR 13807). The standards covered light duty vehicles with a GVWR of 6,000 pounds or less. For subsequent model years, NHTSA established the standards for vehicles with a GVWR of up to 8,500 pounds. Figure 1-1 shows light truck fuel economy standards, actual fuel economy achieved, and light truck sales volumes for MY 1979-2000.
The DOT and Related Agencies Appropriations Acts for FY 1996-2001 each contained a provision that precluded the setting of CAFE standards differing from those promulgated prior to the enactment of FY 1996 appropriations and from spending any funds to collect and analyze data relating to CAFE levels. Hence, for the period covering MY 1998 through MY 2003, light truck CAFE standards remained at 20.7mpg. The Congressional freeze was lifted in FY 2002. The FY 2004 light truck CAFE standard also remains at 20.7 mpg. By law, NHTSA must issue fuel economy standards 18 months prior to the beginning of the affected model year. Therefore, a final rule setting the MY 2004 light truck standard had to be issued by April 1, 2002. Due to this severe time constraint, NHTSA did not have sufficient time to lay the factual or analytical foundation necessary to establish the MY 2004 standard at a level other than 20.7 mpg.
![]() Source: Fuel economy data from EIA 2002a.
Sales Volume: 1987-2000 data from Ward’s Automotive Yearbook. 1980-1986 data from American Automobile Manufacturer’s Association |
Figure 1-1. CAFE Standards, Actual CAFE Achieved, and Sales Volumes, 1973-2001
On February 7, 2002, after the lifting of the Congressional freeze, NHTSA published a Request for Comments (RFC) in the Federal Register (67 F.R. 5767), seeking information to assist NHTSA in setting CAFE standards for MY 2005-2010 light trucks. The RFC also requested comments on possible modifications or reforms to the CAFE program. The RFC discussed general issues that NHTSA considered in evaluating fuel economy, and directed specific questions to light truck manufacturers. The comment period closed on May 8, 2002. The RFC and responses from commenters can be found on the Department of Transportation Docket Management System (DMS) website at http://dms.dot.gov, searching under Docket No. 11419.
Manufacturers responded to the RFC in varying levels of detail. In particular, product plan information concerning model years beyond MY 2007 was much less detailed than the same information for MY 2005-2007. On the basis of the level of detail of information received in response to the February 7, 2002 notice, and the statutory requirement to issue at least the MY 2005 standards no later than April 1, 2003, the agency decided to limit the proposed action to MY 2005-2007 light trucks, rather than extending it to MY 2010. Additional agency actions and appropriate environmental analyses will address future model years.
In accordance with Chapter 329 of Title 49 of the United States Code, and the delegation of authority from the Secretary of Transportation to the NHTSA Administrator, NHTSA is required to set CAFE standards for light trucks for each model year, at least 18 months in advance of the model year. The current standard (20.7 mpg), set in FY 1994 for MY 1996 and MY 1997, is in place through MY 2004, due to the restrictions in the FY 1996 -2001 appropriations acts. With the lifting of the restrictions in December 2001, NHTSA must now take affirmative action to set the light truck standard at the maximum feasible average fuel economy level, based on the four statutory criteria identified above. Accordingly, NHTSA has published an NPRM, proposing CAFE standards for light trucks for MYs 2005-2007 (See Table 1-1). The Agency action is consistent with the recommendations presented in the Administration’s National Energy Policy.
This Draft EA analyzes the potential environmental impacts associated with the CAFE standards proposed in the NPRM. The Draft EA describes the environment and resources that might be affected by the setting of CAFE standards, and the types of impacts that are possible. The Draft EA then assesses the impacts of the Proposed Action against a baseline of 20.7 mpg (the light truck CAFE standard in place through MY 2004). Finally, the analysis concludes with a reference to the cumulative impacts identified in previous environmental assessments.
Outlined below are the action proposed in the NPRM and the No Action Alternative to the proposed action, discussed within the unique context of the CAFE program and its statutory requirements. (For an in-depth discussion of the economic and technological factors underlying the agency’s proposed action, consult Chapter 5 of the Preliminary Economic Assessment).
Under the action proposed by NHTSA in the NPRM, NHTSA would set CAFE standards for light trucks at 21.0 mpg for MY 2005, 21.6 mpg for MY 2006, and 22.2 mpg for MY 2007. These levels have been determined by NHTSA in the NPRM to be the maximum feasible average fuel economy levels, based on the four statutory criteria (NHTSA 2002a). Throughout this Draft EA, when addressing these proposed standards, we will refer to them as the "Proposed Action."
The alternative of taking no action is unavailable because 49 U.S.C. 32902(a) requires the Secretary of Transportation to prescribe, by rule, average fuel economy standards for light trucks. The closest to a No Action Alternative available to the agency is to maintain the standard at the MY 2004 level of 20.7 mpg, in which case there would be no new impacts associated with the Agency’s action relative to the standard set for MY 2004 in previous rulemaking. However, in accordance with statute, NHTSA must set CAFE standards for light trucks at the maximum feasible level, a level that is identified in the NPRM as above 20.7 mpg for each of the model years under consideration. The No Action Alternative does not satisfy the statutory requirement to set the standard at the maximum feasible average fuel economy level, and is not considered a practicable alternative. However, the 20.7-mpg level will be used as a baseline against which to compare the Proposed Action and to evaluate potential environmental impacts. Throughout this Draft EA, when addressing the 20.7-mpg level, we will refer to it as the "Baseline."
This Chapter briefly describes the range of resources that might be affected by the setting of CAFE standards and the types of impacts to health and the environment that might occur. Consult Chapter 4 for an evaluation of actual environmental impacts associated with the Proposed Action.
U.S. petroleum consumption has been steadily increasing recently, while U.S. petroleum production has been decreasing, as demonstrated in Figure 3-1. Consequently, U.S. net petroleum imports (defined as imports minus exports) have been increasing. The United States is increasingly dependent on imported oil, increasing its import oil share from 39.6 percent in 1991 to 55.5 percent in 2001. Domestic oil production has declined steadily since it peaked in 1985 and is expected to continue to decline by 0.2 percent per year from 2000 to 2020, with year 2020 production estimated at 5.6 million barrels per day. Although the U.S. holds only about three percent of the world’s known oil reserves, it is the second largest oil producer (EIA 2002a).
![]() Source: EIA 2002a |
Energy demand growth in the transportation sector averaged 2.0 percent per year during the 1970s but was slowed in the 1980s by rising fuel prices and new Federal efficiency standards. Currently, oil accounts for 95 percent of all energy consumed in the transportation sector. Within the transportation sector, gasoline consumption and imports have been increasing over time, as shown in Figure 3-2.
![]() Source: EIA 2002a |
From 1991 to 2000, fuel consumption for light trucks has varied between 668 and 721 gallons per vehicle per year, following no specific trend. During this same time period light truck adjusted on-road fuel economy (which is calculated by adjusting the EPA laboratory fuel economy numbers downward by 15 percent) has varied between 17.0 and 17.5 miles per gallon, with average annual mileage for these vehicles ranging from 11,684 to 12,430 miles. Table 3-1 details annual light truck fuel consumption, fuel economy, and annual mileage for 1973 through 2000.
Table 3-1. Light truck fuel consumption, fuel rate, and mileage, 1973-2000
| Date | Vans, Pickup Trucks and Sport Utility Vehicles, Fuel Consumption (gallons/vehicle) |
Vans, Pickup Trucks and Sport Utility Vehicles, Fuel Economy (mpg)1 |
Vans, Pickup Trucks and Sport Utility Vehicles, Mileage (miles) |
| 1973 | 931 | 10.5 | 9,779 |
| 1974 | 862 | 11 | 9,452 |
| 1975 | 934 | 10.5 | 9,829 |
| 1976 | 934 | 10.8 | 10,127 |
| 1977 | 947 | 11.2 | 10,607 |
| 1978 | 948 | 11.6 | 10,968 |
| 1979 | 905 | 11.9 | 10,802 |
| 1980 | 854 | 12.2 | 10,437 |
| 1981 | 819 | 12.5 | 10,244 |
| 1982 | 762 | 13.5 | 10,276 |
| 1983 | 767 | 13.7 | 10,497 |
| 1984 | 797 | 14 | 11,151 |
| 1985 | 735 | 14.3 | 10,506 |
| 1986 | 738 | 14.6 | 10,764 |
| 1987 | 744 | 14.9 | 11,114 |
| 1988 | 745 | 15.4 | 11,465 |
| 1989 | 724 | 16.1 | 11,676 |
| 1990 | 738 | 16.1 | 11,902 |
| 1991 | 721 | 17 | 12,245 |
| 1992 | 717 | 17.3 | 12,381 |
| 1993 | 714 | 17.4 | 12,430 |
| 1994 | 701 | 17.3 | 12,156 |
| 1995 | 694 | 17.3 | 12,018 |
| 1996 | 685 | 17.2 | 11,811 |
| 1997 | 703 | 17.2 | 12,115 |
| 1998 | 707 | 17.2 | 12,173 |
| 1999 | 701 | 17 | 11,957 |
| 2000 | 668 | 17.5 | 11,684 |
| Source: EIA 2002a | |||
| 1The fuel economy numbers represented in this column reflect real world fuel economy estimates, which are arrived at by adjusting the EPA laboratory fuel economy numbers downward by 15 percent. | |||
In recent years, most auto manufacturers were able to meet the corporate average fuel economy standards for light trucks of 20.7 mpg, as shown in Table 3-2 (Ward’s 2001).
Table 3-2. New Light Truck U.S. CAFE, MY 1993-2000

3.2.1. Criteria Pollutant Emissions
Air quality is measured by determining the concentration of air pollutants present within the air mass of a region, in parts per million (ppm) or micrograms per cubic meter (μg/m3). Air pollutants are a significant cause of concern for both public health and welfare. In response to both of these concerns, Federal regulations have been developed for six criteria pollutants, under the National Ambient Air Quality Standards (NAAQS), that are considered harmful to public health and the environment. The six criteria pollutants are carbon monoxide (CO), lead (Pb), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), and particulate matter (PM). Nitrogen dioxide reacts in the atmosphere over the course of several hours and is often referred to simply as nitrogen oxides (NOx).
The ambient concentration of pollutants is compared with the EPA’s NAAQS in order to measure air quality. There are two types of standards - primary and secondary. Table C-1 in Appendix C shows these standards. Primary standards protect against adverse health effects; secondary standards protect against adverse welfare effects, such as damage to farm crops and vegetation and damage to buildings. Because different pollutants have different effects, the NAAQS for each pollutant is different. Some pollutants have standards for both long-term and short-term averaging times. The short-term standards were designed to protect against acute, or short-term, health effects, while the long-term standards were established to protect against chronic health effects.
When a geographic area falls within the NAAQS established by the Clean Air Act, it is called an attainment area; when concentrations of criteria pollutants in the region exceed the standards, it is called a non-attainment area. The EPA continuously monitors ambient air quality within counties and air basins in the U.S. A detailed description of the criteria pollutants and their sources, current status, and potential health effects is presented in Appendix C.
As shown in Table C-3 of Appendix C, transportation sources in the United States account for the highest or second highest levels of emissions for several pollutants. The transportation sector continues to be a substantial source of air pollutants at the national level, and is responsible for most of the total CO and NOx emissions, close to half of the total VOCs (volatile organic compounds), and a quarter of total PM emissions. The contributions to Pb and SOX emissions from vehicles are relatively less, partly due to their reduced presence in transportation fuels (Pb has essentially been eliminated from gasoline). Thus, the analysis of criteria pollutant emissions presented in Chapter 4 will focus on the effects of the Proposed Action on CO, NOx, VOC, and PM emissions.
3.2.2. Greenhouse Gas Emissions
The transportation sector - specifically, motor-vehicle operation - is also a substantial contributor to greenhouse gas emissions, accounting for approximately one third of all greenhouse gas emissions in the United States. The operation of motor vehicles, including light trucks, accounts for the majority of these emissions. Thus, this draft environmental assessment will also examine the effects of the proposed light truck CAFE standards on the greenhouse gases. Greenhouse gases occur naturally, but also result from human activities, such as fossil fuel combustion, industrial processes, agricultural activities, deforestation, and waste treatment activities.
CO2 is one of the main products of motor vehicle exhaust and, although it does not directly impair human health and is not regulated, in recent years it has started to be viewed as an issue of concern for its global climate change potential. The analysis includes calculations of changes of CO2 as representative of emissions of greenhouse gases.
Water resources include surface water and groundwater. Surface waters are sources open to the atmosphere, such as rivers, lakes, reservoirs, and wetlands. Groundwater is found in natural reservoirs or aquifers below the earth's surface. Sources of groundwater include rainfall and surface water, which penetrate and move through the soil to the water table.
Water quality may be affected by changes in fuel consumption, as fuel consumption determines the level of oil drilling and oil transport activities, which in turn determine the risk of oil spills and leaks, pipeline blowouts, and water contamination during the drilling process. Additionally, fuel consumption determines the need for oil refining and associated oil refinery liquid waste and thermal pollution of waters near refineries (Epstein and Selber 2002).
In addition, because of wet deposition of air pollutants, changes in air emissions of criteria pollutants could be a source of concern for their potential effects on water quality. The generation of air pollution decreases air quality and adversely impacts water resources through the creation of acid rain. NOX is a contributor to the formation of acid rain and acidification of freshwater bodies (EPA 2001). The ecological effects of acid rain are most clearly seen in aquatic environments. Acid rain flows to streams, lakes, and marshes after falling on forests, fields, buildings, and roads. Acid rain also falls directly on aquatic habitats.
Biological resources consist of all terrestrial and aquatic flora and fauna and the habitats in which they occur. The U.S. Fish and Wildlife Service has jurisdiction over terrestrial and freshwater ecosystems and the National Marine Fisheries Service has jurisdiction over marine ecosystems. Protected biological resources include sensitive habitats and species under consideration for listing (candidate species) or listed as threatened or endangered by the U.S. Fish and Wildlife Service or by individual States. Sensitive habitats include areas protected by legislation or habitats of concern to regulating agencies.
Petroleum drilling, refining, and transport activities, as well as emissions from fuel consumption, have the potential to impact biological resources through habitat destruction and encroachment, and air and water pollution, raising concern about their effects on the preservation of animal and plant populations and their habitats. Oil exploration and extraction result in intrusions into onshore and offshore natural habitats, and may involve construction within natural habitats. Also, oil drilling and transport result in oil spills and pipeline breaks; oil contamination of aquatic and coastal habitats can smother small species and is dangerous to animals and fish through oil ingestion and oil coatings on fur and skin. Similarly, oil-refining activities result in water and thermal pollution, both of which can be harmful to animal and plant populations (Epstein and Selber 2002). Finally, offshore drilling and oil transport from other countries can lead to vessel grounding, vessel collision, and other accidents that could affect plant and animal communities and their environments.
Oil drilling, refining, and transport activities, as well as the burning of fuel during the operation of light trucks, result in air emissions that have an effect on air quality and could have secondary effects on animal and plant populations and their supporting ecosystems. Potential effects on biological resources could be derived from particulate deposition and acid rain effects on water bodies, soils, and vegetation. Because of the interdependence of organisms in an aquatic ecosystem, acid rain and the changes it causes to pH or mineral and metal levels could affect biodiversity as well. In addition, acid rain enhances eutrophication of lakes, estuaries, and coastal environments. Eutrophication, defined as enrichment of a water body with plant nutrients, usually results in communities dominated by phytoplankton, and could result in the contamination of aquatic environments and harmful algal blooms, among other undesirable effects. Acid rain also causes slower growth, injury, or death of forests, and has been linked to forest and soil degradation in many areas of the eastern United States. The acidification of soils can also produce depletion of soil minerals that result in harmful mineral deficiencies for plants and wildlife. Finally, emissions of criteria pollutants and greenhouse gases could result in ozone layer depletion and promote climate change that could affect species and ecosystems.
Land use and development refers to human activities that alter land (e.g., industrial and residential construction in urban and rural settings, clearing of forests for agricultural or industrial use) and may affect the amount of carbon or biomass in existing forest or soil stocks in the affected areas. For the purposes of this Draft EA, the main concern over land use and development issues is potential manufacturing plant changes that manufacturers may institute to respond to the Proposed Action.
Hazardous materials are solid, liquid, or gaseous materials that because of their quantity, concentration, or physical, chemical, or infectious characteristics may cause or significantly contribute to an increase in mortality or an increase in irreversible illness or pose a substantial hazard to human health or the environment when improperly treated, stored, transported, or disposed of. Hazardous materials are designated by the Secretary of Transportation as posing an unreasonable risk to health, safety, property, and environment. Hazardous materials include hazardous substances, hazardous wastes, marine pollutants, elevated temperature materials, and materials identified by the DOT in the Code of Federal Regulations.
Hazardous wastes are generated during the oil refining process. These wastes include oily sludges, spent caustics, spent catalysts, wastewater, maintenance and materials handling wastes, and other process wastes (Freeman 1995).
4.0 ENVIRONMENTAL CONSEQUENCES
This Chapter addresses the potential environmental impacts associated with the Proposed Action, as compared to the Baseline (20.7 mpg). It begins with a discussion of assumptions, methodologies, and limitations, and how these might affect the reliability of the impact assessment. Next, it considers energy use, from the standpoint of both the refined fuel consumed by the affected motor vehicles and the energy used in the oil extraction, transportation, and refining process. Finally, it considers the impacts on environmental resources.
4.1. ASSUMPTIONS, METHODOLOGIES, AND LIMITATIONS
4.1.1. Assumptions and Methodologies
The following assumptions and methodologies were used to assess and quantify the environmental effects of the Proposed Action. It is important to note that these assumptions are inherently uncertain. However, the quantitative information presented in this chapter provides reasonable estimates of the approximate impacts of the Proposed Action. These estimates can also be used for comparison with national level projections.
Key analytical and modeling assumptions are described below. For further detail, refer to Appendix A.
Baseline. For purposes of this Draft EA, it is assumed that under the Baseline, the light truck CAFE standards for each of MY 2005-2007 would remain at the 20.7-mpg level. The Baseline is used to measure the potential effects of the Proposed Action. Some manufacturers already exceed this level, or have indicated plans to do so during one or more of MYs 2005-2007. Other manufacturers have indicated plans to achieve a level below 20.7 mpg, reflecting unadjusted CAFE levels (i.e., CAFE levels that do not account for credit use or adjustments to fuel economy levels for alternatively- and flexibly-fueled vehicles).
Technology Use. The analysis assumes that the fleet mix will remain the same, and that fuel economy increases will result from technological changes. Two major elements of the model methodology include: (1) projections of the technical characteristics and sales volumes of future product offerings, and (2) estimates of the applicability and incremental cost and fuel savings associated with different technologies that might be utilized. This information was used, along with assumptions about the value of anticipated fuel savings to vehicle purchasers, to estimate the level of technology utilization each manufacturer might undertake in response to the Proposed Action. Standard stock accounting and valuation techniques were then used to estimate corresponding future fuel consumption - and associated criteria pollutant and carbon emissions changes. Undiscounted environmental impacts were estimated separately for each model year over its lifetime in the U.S. vehicle fleet.
MY Lifetime and Survival Rate. Environmental impacts resulting from the Proposed Action were estimated separately for each model year over its lifespan in the U.S. vehicle fleet, extending from the initial year when the model year is offered for sale through the year when nearly all vehicles from the model year have been retired or scrapped (approximately 25 years). A "survival rate" is assumed by applying estimates of the proportion of vehicles surviving at each age interval up to 25 years. Undiscounted environmental impacts resulting from a tighter CAFE standard were estimated separately for each model year over its lifetime.
Lifetime and Annual Data. Fuel consumption and emissions information is presented in lifetime and annual data formats. Lifetime data present a summary of aggregate changes over 25 years. Annual information is also important because energy and emissions budgets are developed on an annual basis. The three calendar years corresponding to the model year light trucks affected by the Proposed Action (2005, 2006, and 2007) were considered, as well as years 2010, 2015, and 2020. The year 2020 was selected as the end-point for annual data since it corresponds with the year used in energy and environmental forecasts and projections (EIA 2002). The five-year intervals were chosen to capture additional information. See Appendices B and C for detailed annual data. All environmental impacts in the analysis are assessed from annual data.
Rebound Effect. Tightening CAFE standards reduces the fuel component of the cost of operating light-duty vehicles, leading to an increase in vehicle use. The resulting increase, termed the "rebound effect," offsets part of the reduction in gasoline consumption and petroleum use that results from improved fuel efficiency.
The most recent estimates of the magnitude of the rebound effect for light-duty vehicles fall in the relatively narrow range of 10% to 20%, which implies that increasing vehicle use will offset 10 -20% of the fuel savings resulting from an improvement in fuel economy. A rebound effect of 15 % was employed after reviewing the literature, which is the midpoint of the most recent estimates. The rebound effect produces a corresponding increase in the total number of miles driven for each subsequent calendar year the subject vehicles remain in the fleet.
Vehicle-Miles-Traveled (VMT). The analysis assumes a baseline average annual VMT growth rate of 1.8 %[3] over the entire study period. The growth rate was used to project future travel trends and to calculate the resulting emissions from all vehicles in the fleet. Estimates of future emissions from all vehicles were used as a baseline, and compared with the contribution of emissions from the light trucks affected by the Proposed Action.
Fuel Production. Part of the fuel savings resulting from the Proposed Action leads to lower U.S. imports of refined gasoline, and thus does not affect refinery emission levels in the U.S. However, the remaining fuel savings are assumed to reduce the volume of gasoline refined within the U.S. (from either imported or domestically-produced crude petroleum), which produces a corresponding reduction in criteria pollutant refinery emissions. This analysis assumes 55% of refined gasoline is imported and 45% is refined in the U.S.[4]
Industry-wide Estimates of Environmental Effects. The analysis developed for the Draft EA relies on industry-wide estimates of effects, such as changes in fuel consumption and emissions. This level of aggregation is consistent with the estimation of national-scale environmental effects. However, in some cases, the Draft EA reports effects on an average per-vehicle basis. Such reporting provides an alternative sense of scale that may make the information more easily accessible to the reader.
Manufacturing Plans. Although current CAFE levels and product plans vary among manufacturers, the proposed changes to light truck CAFE standards would not likely require any manufacturers to change light trucks in ways that would have important environmental effects unrelated to vehicle use. Rather, all manufacturers would likely be able to meet the proposed standards through changes in vehicle design (e.g., aerodynamics) and components (e.g., transmissions), neither of which is expected to significantly alter the quantity or mix of materials used for vehicle production.
Criteria Pollutant Emissions. The MOBILE6.1/6.2 model projects significant emissions deterioration over a vehicle’s useful life. In particular, the model projects that CO, VOC, and NOX emission rates would each increase over the useful life of trucks affected by the Proposed Action. This increase plays an important role in the evolution of total annual emissions from trucks sold as they age. Emissions associated with the rebound effect and marginal changes in petroleum supply are also influenced.
Greenhouse Gas Emissions. The analysis includes calculations of changes of CO2 emissions from light trucks due to the Proposed Action, but not calculations of changes in emissions of other greenhouse gases. When different species are weighted by their respective global warming potentials, carbon dioxide accounts for more than 95% of the total greenhouse gas emissions from the transportation sector (EPA 1999a). Additionally, CO2 emissions result directly from and are directly proportional to the combustion of fuels. Because of the importance of CO2, and because the other greenhouse gases make only a minor contribution, the analysis focuses on assessing CO2 as representative of all greenhouse gases. The Intergovernmental Panel on Climate Change guidelines also employs CO2 as representative of greenhouse gas emissions (EPA 2002b).
The emissions estimates presented in this section are dependent on both the rebound effect and the marginal dynamics of petroleum supply, both of which are highly uncertain. If the actual additional vehicle miles driven are smaller or larger than the 15% assumed for the rebound effect, for example, the model could be over or under-estimating the resulting impacts. Thus, the calculations of net emissions changes are also uncertain. However, the analysis yields estimates of net emissions changes that are, without exception, extremely small relative to aggregate national emissions. In addition, under any set of reasonable assumptions regarding the rebound effect and marginal petroleum supply, the magnitude of these calculated net changes in criteria pollutants are extremely small.
The results of the analysis are also highly dependent on projections of future vehicle survival rates and annual use (i.e., VMT). If actual values diverge from these projections, the proposal’s actual effects will differ from the estimates presented in the Draft EA.
Actual CAFE levels achieved may differ from the assumptions in the calculations. However, the manufacturer response is estimated for both the Proposed Action and the Baseline and the analysis takes into account the possibility of over and under compliance.
With respect to the impacts on reduced refinery emissions due to decreases in consumption, a recent EIA report states that increases in fuel economy standards, depending on the magnitude and timing of such increases, will yield a similar share of gasoline consumption savings, reflected in reduced imports of gasoline (EIA 2002c). However, estimates of market responses relating to gasoline imports and domestic refining are variable and highly uncertain, such that other refining/import scenarios are plausible.
A change in CAFE standards changes fuel consumption. Air quality and other resources are impacted by changes in fuel consumption. For example, a decrease in fuel consumption due to higher CAFE standards may cause a decrease in oil refining and distribution emissions, but an increase in tailpipe emissions attributable to the assumed rebound effect.
In order to determine the impacts of the Proposed Action, the total energy consumption of the affected trucks in the fleet for a 25-year lifetime will be calculated, as well as a yearly analysis of gasoline consumed. These data will then be compared to the fuel used under the Baseline.
Lifetime Fuel Consumption
The methodology described in Appendix A was used to calculate the total fuel consumption for MY 2005-2007 light trucks throughout their lifetime in the fleet under the Baseline. The total would be approximately 194.8 billion gallons (22,310 trillion BTU).
Annual Fuel Consumption
A yearly analysis of gasoline consumption was developed to illustrate the effects of light truck fuel consumption over time in "Annual Snapshots." Fuel consumption data for the same calendar years as the proposed action (2005, 2006, and 2007), and for 2010, 2015, and 2020 are presented. Figure 4-1 shows the total gallons of fuel consumed on an annual basis for those calendar years. These numbers are aggregated across MY 2005-2007. Thus, the calendar year 2005 consumption value includes MY 2005 and MY 2006 light trucks that are sold and operated in calendar year 2005, the calendar year 2006 consumption value includes MY 2005 light trucks operating in calendar year 2006 plus MY 2006 and MY 2007 light trucks sold and operated in calendar year 2006, and the calendar year 2007 consumption value includes MY 2005, MY 2006, and MY 2007 light trucks operating in calendar year 2007. The calendar year 2010, 2015, and 2020 values include the MY 2005-2007 light trucks still operating in each respective calendar year.
Figure 4-1 shows an increase in gallons of gasoline consumed during calendar years 2005 through 2007 by MY 2005-2007 light trucks as the number of vehicle introductions of those model years increase. The amount of gasoline consumed during calendar years 2010-2020 by MY 2005-2007 light trucks decreases because vehicle miles traveled decrease over time as vehicles are scrapped. Refer to Table B-1 in Appendix B for an estimate of total energy consumption calculations per year for calendar years 2004-2031.

Figure 4-1. Baseline - Annual Energy Consumption, 2005-2020
Lifetime Fuel Consumption
The methodology described in Appendix A was used to calculate fuel consumption for MYs 2005-2007 light trucks throughout their lifetime in the fleet, under the Proposed Action. The total gasoline consumption for these trucks would be approximately 192.3 billion gallons (22,025 trillion BTU).
Annual Fuel Consumption
A yearly analysis of gasoline consumption was developed to estimate future energy consumption under the Proposed Action. Figure 4-2 shows the total fuel consumed by MY 2005 - 2007 light trucks on an annual basis during 2005, 2006, 2007, 2010, 2015, and 2020. These numbers are aggregated across MYs 2005-2007. Thus, the calendar year 2005 consumption value includes MY 2005 and MY 2006 light trucks that are sold and operated in calendar year 2005, the calendar year 2006 consumption value includes MY 2005 light trucks operating in calendar year 2006 plus MY 2006 and MY 2007 light trucks sold and operated in calendar year 2006, and the calendar year 2007 consumption value includes MY 2005, MY 2006, and MY 2007 light trucks operating in calendar year 2007. Similarly the calendar year 2010, 2015, and 2020 values include the MY 2005-2007 light trucks still operating at each respective calendar year.
Figure 4-2 shows an upward trend in fuel consumed over calendar years 2005-2007 as more vehicles are introduced, and a downward trend over calendar years 2010 - 2020 as the trucks age or are retired. Refer to Table B-2 in Appendix B for total fuel consumption calculations per year for calendar years 2004-2031.
The aggregated numbers under the Proposed Action were compared to those under the Baseline in order to show the amount of fuel saved. This change in fuel consumption was then compared with the Energy Information Administration (EIA) projected overall gasoline consumption by all light trucks on an annual basis. The EIA forecasts total energy consumption in BTUs on a yearly basis, so fuel consumption figures were converted to BTUs for comparison purposes.

Figure 4-2. Proposed Action - Annual Gasoline Consumption, 2005-2020
Table 4-1 shows the amount of fuel saved on an annual basis when the Proposed Action is compared to the Baseline and annual savings as a percentage of the EIA 2002 energy consumption forecast. The amount and percent of fuel saved increases over calendar years 2005-2007 as the number of MY 2005-2007 light trucks on the road increases. The amount and percent of fuel saved from calendar years 2010-2020 by MY 2005-2007 light trucks decreases because vehicle miles traveled decrease over time, although savings remain positive. Overall, the total amount of fuel saved (under the Proposed Action, as compared to the Baseline) continues to increase through calendar year 2020. Refer to Table B-3 in Appendix B for total change in energy consumption calculations per year for the years 2004-2031.
Table 4-1. Proposed Action - Change in Energy Consumption and Baseline EIA Energy Consumption Projections, 2005- 2020

Figure 4-3 illustrates the amount of energy - in BTUs - saved on an annual basis under the Proposed Action. The amount of energy saved increases over calendar years 2005-2007 as the number of MY 2005-2007 light trucks on the road increases. The amount of energy saved from calendar years 2010-2020 by MY 2005-2007 light trucks decreases (although it still remains positive) because vehicle miles traveled decrease over time.

Figure 4-3. Proposed Action - Reduction in Energy Consumption, 2005-2020
Figure 4-4 shows the amount of energy saved on an annual basis as a percentage of the EIA 2002 energy consumption forecast for the respective calendar years of interest. The percent of energy saved increases over calendar years 2005-2007 as the number of MY 2005-2007 light trucks on the road increases. The percent of energy saved from calendar years 2010-2020 by MY 2005-2007 light trucks decreases (although still positive) because vehicle miles traveled decrease over time.

Figure 4-4. Proposed Action - Annual Reduction in Energy Consumption as a Percentage of EIA Annual Energy Consumption Forecast
As illustrated by the above table and figures, the CAFE standards under the Proposed Action are projected to decrease gasoline consumption by MY 2005-2007 light trucks on an annual basis and on an aggregate basis throughout the lifetime of the affected fleet.
4.3.1. Criteria Pollutant Emissions
The EPA emissions model, MOBILE6.1/6.2 (MOBILE6), was used to estimate changes in criteria pollutant emissions. MOBILE6 is an emissions factor model used for predicting grams-per-mile emissions of VOC, CO, NOX, PM, and toxics from cars, trucks, and motorcycles under various conditions. It accounts for several new national emission control measures for both light-duty vehicles under 8,500 pounds gross vehicle weight rating (GVWR) and heavy-duty diesel engines. It also includes the benefits of low sulfur fuel for both light and heavy-duty vehicles. The MOBILE 6 model was used to compare emissions of criteria pollutants from MY 2005-2007 light trucks to the overall contribution of emissions from all vehicles in the U.S. fleet. Using expected VMT, the projected baseline emissions for all vehicles (including passenger cars and trucks) was used to develop an emissions inventory.
Because it is difficult to estimate a given action’s effect on the atmospheric concentration of some pollutants, emission inventories are also used to gauge the effects of such actions. An emission inventory is a summation of the total mass of a pollutant that is released to the atmosphere within a given geographic area and during a specified period. A national input file was obtained from the EPA Office of Transportation and Air Quality (OTAQ) and used to determine the emissions of CO, VOC, NOX, and PM 2.5 (reference). The model was executed for calendar years 2005, 2006, 2007, 2010, 2015, and 2020.
Changes in criteria pollutants were determined by combining estimates of emissions reductions from reduced gasoline refining and distribution with estimates of emissions increases from increased VMT as a result of the rebound effect (see Appendix A). Reductions in criteria pollutant emissions from reduced gasoline refining and distribution were calculated using emissions rates obtained from Argonne National Laboratories’ Greenhouse Gases and Regulated Emissions in Transportation model (GREET) (Argonne 2002).
The contribution of emissions from the Proposed Action was determined by comparing the estimated emissions for the Proposed Action with those for the Baseline. Under the Baseline, emissions from petroleum refining and gasoline distribution are assessed to estimate CO, VOC, NOX, and PM 2.5 levels. In contrast, the Proposed Action also assesses CO, VOC, NOX, and PM 2.5 emissions associated with the 15% rebound effect, as well as those from petroleum refining and gasoline distribution.
Emissions estimates for MY 2005-2007 light trucks were developed on a yearly basis for all light trucks for each of those model years. In order to determine the overall implications of the Proposed Action over the 25-year lifetime, as compared to the Baseline, the yearly emissions calculations were summarized to estimate aggregated lifetime emissions for MY 2005-2007 light trucks under the Baseline and Proposed Action. In addition, emission inventories for individual calendar years of interest - through 2020 were calculated to provide estimates of annual changes in emissions under the Proposed Action as compared to the Baseline. The annual emissions inventories were calculated by adding the emissions from all MY 2005, 2006, and 2007 light trucks in operation for the particular calendar year. For example, total emissions for calendar year 2010 were calculated by adding the total emissions from MY 2005-2007 light trucks still in operation that year.
Lifetime Projected Emissions
The methodology described in Appendix A was used to calculate the total CO, VOC, NOX, and PM 2.5 emissions for MY 2005-2007 light trucks throughout their lifetime in the fleet, assumed to be 25 years. As presented in Figure 4-5, under the Baseline, it is estimated that CO upstream emissions would be approximately 301.4 thousand tons, VOC emissions would be approximately 208.7 thousand tons, NOX emissions would be approximately 454.0 thousand tons, and PM 2.5 emissions would be approximately 45.8 thousand tons, for the 25-year lifetime of MY 2005-2007 light trucks.

Figure 4-5. Baseline - Lifetime Upstream Emissions for Criteria Pollutants
Annual Projected Emissions
A yearly breakdown of upstream emissions for criteria pollutants generated under the Baseline can be found in Tables C-7 through C-10 in Appendix C. Criteria pollutant upstream emissions for calendar years 2005, 2006, 2007, 2010, 2015, and 2020 were closely examined in order to compare them to baseline emissions projected using the MOBILE6 model.
Figure 4-6 details criteria pollutant emissions for calendar years 2005, 2006, 2007, 2010, 2015, and 2020 under the Baseline. As expected, criteria pollutant upstream emissions are highest in calendar year 2007 since most MY 2005-2007 light trucks are in use and vehicle miles traveled are at their highest due to the low age of the vehicles.

Figure 4-6. Baseline - Annual Upstream Emissions for Criteria Pollutants, 2005-2020
Lifetime Projected Emissions
Under the Proposed Action, it is estimated that criteria pollutant emissions would be approximately 399.5 thousand tons for CO, 211.7 thousand tons for VOC, 453.4 thousand tons for NOX, and 45.3 thousand tons for PM 2.5, respectively, for the 25-year lifetime of MY 2005-2007 light trucks. Figure 4-7 presents a graphical representation of these values. As noted in the introduction, total emissions reported in this figure reflect the sum of upstream (refinery and distribution) and rebound-effect related emissions.

Figure 4-7. Proposed Action - Lifetime Upstream and Rebound Emissions for Criteria Pollutants
When compared to the Baseline, the Proposed Action would result in an estimated increase in CO and VOC emissions of 98.1 thousand tons and 3.0 thousand tons, respectively, and a projected decrease of NOX, and PM 2.5 of 0.6 thousand tons and 0.5 thousand tons, respectively, over the 25-year lifetime of the MY 2005-2007 light trucks This is shown in Figure 4-8. Thus, implementation of the Proposed Action results in increases in lifetime emissions of CO and VOC, and reductions in lifetime emissions of NOX and PM 2.5.

Figure 4-8. Proposed Action - Change in Lifetime Emissions for Criteria Pollutants
Annual Projected Emissions
In order to compare Proposed Action emissions to the overall contribution of emissions from vehicles, yearly upstream and rebound emissions for criteria pollutants were calculated. A yearly breakdown of the upstream and rebound emissions generated under the Proposed Action can be found in Tables C-12 through C-15 in Appendix C.
Figure 4-9 shows Proposed Action upstream and rebound emissions for calendar years 2005, 2006, 2007, 2010, 2015, and 2020. As expected, criteria pollutant emissions are highest in calendar year 2007 (compared to calendar years 2005, 2006, 2010, 2015, and 2020). This is because the vast majority of MY 2005-2007 light trucks would be in use and vehicle miles traveled are at their highest.

Figure 4-9. Proposed Action - Annual Upstream and Rebound Emissions for Criteria Pollutants 2005-2020
When Proposed Action upstream and rebound emissions from calendar years 2005, 2006, 2007, 2010, 2015, and 2020 are compared to Baseline upstream emissions, projected CO emissions increase each calendar year. CO emissions increase because, while the savings in gasoline use and the resulting reduction in CO emissions from gasoline refining and distribution grow over time, increase in vehicle CO emissions resulting from the rebound effect more than offsets this reduction. When compared to the Baseline, the Proposed Action results in an estimated initial decrease in VOC emissions through calendar year 2010, but an estimated increase in emissions for calendar years 2011 through 2020.
The Proposed Action also results in an estimated initial decrease in NOX emissions through calendar year 2014, but an estimated increase in emissions for calendar years 2015 through 2020. Compared to the Baseline, the Proposed Action would result in an estimated decrease in PM 2.5 emissions through calendar year 2020. When considering these results, it is important to recall that changes in criteria pollutant emissions were calculated assuming that reductions in imports of refined gasoline would account for 55% of the domestic gasoline consumption reduction attributed to the Proposed Action. Under this analysis, some of the emission benefits from reduced refining and distribution would not occur in the U.S., and are thus not accounted for in this analysis.
In order to compare emissions of criteria pollutants from MY 2005-2007 light trucks to the overall contribution of vehicle emissions, the MOBILE6 model was run to project baseline emissions for all vehicles. Table 4-2 details changes in criteria pollutant emissions for light trucks, as well as baseline emissions projections for all vehicles, and projections of light truck emissions changes as compared to emissions from all vehicles for calendar years 2005, 2006, 2007, 2010, 2015, and 2020.
Table 4-2. Proposed Action - Percent Change in Criteria Pollutant Emissions under the Proposed Action when compared to Baseline Emissions Projections for all Vehicles[5] (Calendar Years 2005-2020)

Figure 4-10 details change in emissions for criteria pollutants for calendar years 2005, 2006, 2007, 2010, 2015, and 2020. For a yearly breakdown of changes in emissions, see Tables C-17 through C-20 in Appendix C.

Figure 4-10. Proposed Action - Annual Change in Emissions for Criteria Pollutants, Calendar Years 2005-2020
Figure 4-11 shows changes in emissions from MY 2005-2007 light trucks - at different calendar years during their lifetime in the fleet - as a percentage of projected aggregate national criteria pollutant emissions for all vehicles. The increase of CO emissions from light trucks comprises at most an estimated 0.021 percent - in calendar year 2015 - of the baseline emissions projections for all vehicles during the study period (2005-2020).
The initial decrease in VOC emissions comprises at most 0.003 percent - in calendar year 2007 - of the baseline emissions projections for all vehicles during the study period. Subsequent increases in VOC emissions, associated with the rebound effect, offset emissions decreases from reduced refining and distribution. This comprises at most 0.011 percent - in calendar year 2020 - of the baseline emissions projections for all vehicles during the study period.
The initial decrease in NOX emissions comprises at most 0.008 percent (calendar year 2007) of the baseline emissions projections for all vehicles during the study period. Subsequent increases in NOX emissions comprise at most 0.005 percent (in calendar year 2020) of the baseline emissions projections for all vehicles during the study period. For the analyzed study period, the decreases in PM 2.5 emissions from MY 2005-2007 light trucks ranged between 0.002 percent and 0.013 percent of total PM 2.5 emissions from all vehicles.

Figure 4-11. Proposed Action - Change in Criteria Pollutant Emissions as a Percent of all Vehicle Emissions, Calendar Years 2005-2020
Although there is a small increase in CO, VOC and NOX emissions at different times during the study period, these values are very small percentages in relation to projections of aggregate national emissions for all vehicles. Yearly decreases in VOC and NOX at different times during the study period, along with decreases in PM 2.5 through calendar year 2020 would provide benefits. In addition, the net changes in emissions are extremely small in relation to national levels of criteria pollutant emissions for all vehicles.
4.3.2. Greenhouse Gas Emissions
Changes in CO2 were determined by combining estimates of emissions reductions from reduced gasoline refining and distribution with estimates of emissions increases from increased VMT as a result of the rebound effect (see Appendix A). Reductions in CO2 emissions from reduced gasoline refining and distribution were calculated using emissions rates obtained from Argonne National Laboratories’ Greenhouse Gases and Regulated Emissions in Transportation model (GREET) (Argonne 2002). The reduction of CO2 emissions from the Proposed Action was determined using the same methodology as for criteria pollutants, by comparing the estimated emissions for the Proposed Action with those for the Baseline. Under the Baseline, greenhouse gas emissions from petroleum refining and gasoline distribution are assessed; in contrast, the Proposed Action also assesses CO2 emissions associated with the 15% rebound effect, as well as those from petroleum refining and gasoline distribution.
CO2 emissions estimates for MY 2005-2007 light trucks were also developed on a yearly basis for all light trucks for each of those model years. In order to determine the overall implications of the Proposed Action over the 25-year lifetime, as compared to the Baseline, the yearly emissions calculations were summarized to estimate aggregated lifetime emissions for MY 2005-2007 light trucks under the Baseline and Proposed Action. In addition, emission inventories for individual calendar years of interest - through 2020 were calculated to provide estimates of annual changes in CO2 emissions under the Proposed Action as compared to the Baseline. The annual emissions inventories were calculated in the same way as those for criteria pollutant emissions.
Estimates of greenhouse gas upstream emissions are presented in millions of metric tons of carbon equivalents (MMTCe), which weights each gas by its Global Warming Potential (GWP) value. The concept of a GWP was developed to compare the relative ability of each greenhouse gas to trap heat in the atmosphere.
Lifetime Projected Emissions
Under the Baseline, an estimated 510.8 MMTCe of CO2 would be emitted during the 25-year lifetime of MY 2005-2007 light trucks. These emissions will be used as a basis to determine potential impacts from the Proposed Action.
Annual Projected Emissions
A yearly breakdown of upstream emissions for greenhouse gases generated under the Baseline can be found in Table C-11 in Appendix C. Greenhouse gas upstream emissions for calendar years 2005, 2006, 2007, 2010, 2015, and 2020 were closely examined. Figure 4-12 details greenhouse gas emissions for calendar years 2005, 2006, 2007, 2010, 2015, and 2020 under the Baseline. As expected, greenhouse gas upstream emissions are highest in calendar year 2007 (compared to calendar years 2005, 2006, 2010, 2015, and 2020), since the vast majority of MY 2005-2007 light trucks are in use and vehicle miles traveled are at their highest level.

Figure 4-12. Baseline - Annual Upstream Emissions for Greenhouse Gases, 2005-2020
Estimates of greenhouse gas upstream emissions are presented in millions of metric tons of carbon equivalents (MMTCe), which weights each gas by its Global Warming Potential (GWP) value. The concept of a GWP was developed to compare the relative ability of each greenhouse gas to trap heat in the atmosphere.
Lifetime Projected Emissions
Under the Proposed Action, an estimated 504.2 MMTCe of carbon emissions (from CO2 only) would result from the 25-year lifetime of MY 2005-2007 light trucks. Compared to the Baseline, the Proposed Action would reduce carbon emissions by an estimated 6.5 MMTCe for the 25-year lifetime of MY 2005-2007 light trucks. Additionally, a reduction in carbon emissions is estimated for each calendar year of the 2005-2020-study period. Thus, the Proposed Action would provide a benefit as a result of the reduction of GHG emissions from transportation in the U.S.
Annual Projected Emissions
The changes in CO2 emissions - when comparing Baseline and Proposed Action emissions - for light trucks for calendar years 2005, 2010, 2015, and 2020 were compared to the EIA annual energy projections of total CO2 emissions for the transportation sector for those calendar years. The EIA did not estimate emissions for calendar years 2006 and 2007 in its 2002 forecast (EIA 2002b). For calendar years 2005, 2010, 2015, and 2020, estimated decreases in CO2 emissions from light trucks ranged between 0.015 percent and 0.075 percent of total emissions from all transportation CO2 emissions. The benefits peak in 2010 and then decrease over time. Therefore, there is a benefit in CO2 emissions when compared to total transportation CO2 emissions on an annual basis. Table 4-3 details reductions in CO2 emissions for MY 2005-2007 light trucks, baseline CO2 emissions projections for the transportation sector, and estimated light truck CO2 emissions change as compared to the total transportation sector for calendar years 2005, 2010, 2015, and 2020.
Table 4-3. Proposed Action - Estimated Reduction in CO2 Emissions and Baseline CO2 Emissions Projections, 2005-2020

Figure 4-13 shows reductions in emissions as a percent composition of total transportation emissions for CO2.

Figure 4-13. Proposed Action Reduction in Emissions as a Percent of Total Transportation Emissions for CO2, 2005-2020
Water quality may be affected by changes in energy consumption. The decrease in fuel consumption could result in reductions in oil spills and leaks, pipeline blowouts, and water contamination during the drilling process. Additionally, there could be reductions in oil refining and associated oil refinery liquid waste and thermal pollution of waters near refineries. The analysis shows decreases in NOx through 2014, and also a lifetime reduction over the 25- year study period. Some benefits to water resources from reduced acid rain generation could be realized.
Therefore, the Proposed Action could result in benefits to water resources from reduced energy consumption. However, since the energy consumption changes are small when compared to fuel consumption from other transportation activities, these water resource benefits would be small.
Biological resources may be affected by changes in energy consumption. A decrease in fuel consumption could result in reductions in petroleum drilling, refining, and transport activities, potentially reducing impacts to biological resources resulting from habitat destruction and encroachment, and air and water pollution. In addition, there could be reductions in oil exploration and extraction, potentially resulting in decreased intrusions into onshore and offshore natural habitats, and construction within natural habitats. Also, reductions in oil drilling and transport could result in decreases in oil spills and pipeline breaks, reducing potential impacts from oil contamination of aquatic and coastal habitats. Additionally, there could be reductions in oil refining and associated oil refinery liquid waste and thermal pollution of waters near refineries. Finally, decreases in oil drilling and refining activities can also result in reduced noise pollution, with a positive benefit to animal populations. The Proposed Action would result in decreases in greenhouse gas emissions that could result in benefits to ecosystems.
Therefore, the Proposed Action could result in benefits to biological resources from reduced energy consumption. However, since the changes are small when compared to fuel consumption and emissions from other transportation activities, these benefits would be small.
For the purposes of this Draft EA, land use and development issues relate to potential manufacturing plant changes that manufacturers may embark on to respond to a change in light-truck fuel economy standards. As indicated in the manufacturers’ comments, product changes would be likely in order for manufacturers to comply with increased fuel economy. Additionally, changes in the light-truck economic market independent of the Proposed Action (e.g., a change in the number of light trucks purchased by consumers or a consumer switch to different brands or types of vehicles) may cause plants to be built or shut down.
Major changes to manufacturing facilities could have implications for environmental issues associated with land use and development. However, as discussed above in Section 4.1.1, NHTSA’s analysis of available technologies and manufacturer capabilities indicates that manufacturers would likely be able to meet the proposed standards by applying technologies rather than, for example, changing product mix in ways that would that lead to manufacturing plant changes. Therefore, the Proposed Action would not likely impact land use or development.
The projected reduction in fuel consumption under the Proposed Action may lead to a reduction in the amount of hazardous wastes created by the oil refining process. These wastes may include oily sludges, spent caustics, spent catalysts, wastewater, maintenance and materials handling wastes, and other process wastes (Freeman 1995). As a result, there would be small benefits with regard to hazardous materials from the implementation of the Proposed Action.
4.8. SUMMARY OF POTENTIAL ENVIRONMENTAL EFFECTS
Table 4-4 summarizes the potential impacts under the Baseline and the Proposed Action.
Table 4-4. Summary of Potential Impacts
| Resource | Baseline - Current Standard | Proposed Action |
| Energy | Continuation of current energy trends characterized by an increase in fuel consumption for light trucks. | Slower rate of growth in fuel consumption for light trucks. Slower rate of growth in oil exploration and extraction, oil refining, and oil transport. |
| Criteria Pollutant Emissions | Continuation of air quality trends characterized by an increase in criteria pollutant emissions from oil refining and distribution and the operation of light trucks. | Minor increases in CO and VOC emissions and minor reductions in NOx and PM 2.5. Overall minor changes in Air Quality based on extremely small changes in criteria pollutant emissions. |
| Greenhouse Gas Emissions | Increase in GHG emissions from oil refining and distribution and the operation of light trucks. | Reduction in GHG emissions. |
| Water Resources | Continuation of energy and air quality trends. | Minor benefit from reductions in energy consumption GHG emissions and minor changes based on extremely small changes in criteria pollutant emissions. |
| Biological Resources | Continuation of energy and air quality trends. | Minor benefit from reductions in energy consumption GHG emissions and minor changes based on extremely small changes in criteria pollutant emissions. |
| Land Use and Development | No new construction of light truck manufacturing plants. | No new construction of light truck manufacturing plants. |
| Hazardous Materials | Continuation of hazardous materials use and generation trends from the manufacturing of light trucks. | Minor reduction in the rate of growth of the generation of hazardous wastes (oily sludges, spent caustics, spent catalysts, wastewater, maintenance and materials handling wastes, and other process wastes) from the oil refining process. Continuation of hazardous materials use and generation trends from the manufacturing of light trucks. |
4.8.1. Summary of Energy Effects
Table 4-5 summarizes fuel consumption under the Baseline and Proposed Action Alternatives. Comparison of the Proposed Action with the Baseline shows that the Proposed Action would result in a decrease in fuel consumption over the lifetime of the MY 2005 - 2007 fleet. The total amount of fuel saved under the Proposed Action over the useful lifetime of the affected light truck fleet (MY 2005-2007) would be approximately 2.5 billion gallons (286 trillion BTU). Therefore, the Proposed Action also results in a reduction in oil exploration and extraction, oil transport, and oil refining.
Table 4-5. Fuel Consumption under the Baseline and the Proposed Action
4.8.2. Summary of Air Quality Effects
Table 4-6 summarizes the effects of the Baseline and the Proposed Action on CO, VOC, NOX, PM 2.5, and CO2 emissions. Emission totals include upstream (refinery and distribution) and rebound-related emissions. While there is a decrease in upstream emissions for all criteria pollutants and greenhouse gases under the Proposed Action, this decrease is partially or completely offset by emissions attributed to the rebound effect. In particular, a net increase in lifetime emissions of CO and VOC will result.
Criteria Pollutant Emissions
As the analysis results show, the savings in gasoline use and the resulting reduction in CO emissions from gasoline refining and distribution grow over time. However, the increase in CO emissions from vehicle exhaust from added light truck use - resulting from the rebound effect - more than offsets this reduction. While CO emissions increase slightly under the Proposed Action, national CO concentrations have decreased and there are few non-attainment areas in the U.S. Therefore, the small increase in CO emissions - relative to national CO emissions from all vehicles - will be unlikely to result in new or more frequent yearly violations of the CO standard.
VOC emissions are projected to decline until calendar year 2010 as the increase in emissions from more intensive use of light trucks manufactured under the Proposed Action is offset by the reduction in emissions from lower gasoline refining and distribution. Starting in calendar year 2011 the situation is reversed and total VOC emissions are projected to increase slightly as a result of the rebound effect and the effect of degraded emissions performance from aging vehicles. This increase in VOC emissions is a small percentage of projected aggregate national VOC emissions for all vehicles. As presented above, the projected annual VOC emissions increases comprise at most 0.011 percent - in calendar year 2020 - of the VOC emissions projections for all vehicles during the study period.
NOX emissions are projected to decline over the lifetime of MY 2005-2007 light trucks, and on an annual basis until calendar year 2014 as the increase in emissions from more intensive use of light trucks manufactured under the Proposed Action is offset by the reduction in emissions from lower gasoline refining and distribution. Starting in calendar year 2015 the situation is reversed and total NOX emissions are projected to increase slightly as a result of the rebound effect and the effect of degraded emissions performance from aging vehicles. This post-2014 increase in NOX emissions is an extremely small percentage of projected aggregate national NOX emissions for all vehicles. As presented above, the projected annual NOX emissions increases comprise at most 0.005 percent - in calendar year 2020 - of the NOX emissions projections for all vehicles during the study period.
Under the Proposed Action, PM emissions decrease over the lifetime of MY 2005-2007 light trucks, as well as on an annual basis during the study period. The changes (decreases) are extremely small when compared to the projected aggregate national PM emissions.
Greenhouse Gas Emissions
Under the Proposed Action, GHG emissions decrease over the lifetime of MY 2005-2007 light trucks, as well as on an annual basis during the study period. The reduction in GHG emissions constitutes a benefit.
4.8.3. Fuel Consumption, Refinery Emissions, and Impacts on Water and Biological Systems
A decrease in fuel consumption can lead to environmental benefits through the reduction of oil exploration, drilling and extraction, transport, and refining. Oil exploration and drilling often require deep intrusion into natural habitats. Oil drilling and extraction require heavy equipment, pipelines, and drilling structures that can disrupt wildlife and human communities and may lead to deforestation. Thus, a decrease in oil drilling and extraction will have minor benefits to topographic and geological structures, which may be affected during onshore and offshore oil drilling. Offshore drilling can also contaminate sediments and lead to oil leakage into the water. Noise pollution from drilling can disrupt animals and humans. Oil drilling can also lead to oil spills and leakage, fires, and explosions, which can be harmful to wildlife and human health.
A decrease in fuel consumption can also lead to a decrease in oil transport. Accidental oil leaks and spills and pipeline bursts can occur between the point of extraction and the point of consumption. Oil leaks and spills and pipeline bursts can harm habitats, wildlife, coastal and inland waters, and human communities.
A decrease in fuel extraction would lead to a reduction in the amount of fuel refined. Chemicals used in the refinery process and byproducts produced in the refining process can be toxic to wildlife and humans. The physical presence of refineries can harm natural habitats, wildlife, and human communities through thermal pollution, water contamination, noise pollution, and air pollution. Workers are also exposed to these hazards on a daily basis (Epstein and Selber 2002).
Table 4-6. Summary of Baseline and Proposed Action Emissions

The agency has considered the environmental effects of previous CAFE rulemakings. Under previous actions, the Agency has issued Environmental Assessments to evaluate environmental impacts. Cumulative impacts have been identified in the past by the Agency. Documents that address these impacts have been placed in the docket.
5.0 LIST OF PREPARERS AND REVIEWERS
U.S. DOT, John A. Volpe National Transportation Systems Center
Kevin Green, General Engineer
12 years of experience
Kristina E. López-Bernal, Environmental Engineer
1 year of experience
José G. Mantilla, Environmental Engineer
4 years of experience
Jennifer Papazian, Environmental Specialist
6 years of experience
Don H. Pickrell, Ph.D., Chief Economist
32 years of experience
Paul Valihura, Ph.D., Senior Environmental Scientist
23 years of experience
Roger Wayson, Ph.D., Air Quality Scientist
21 years of experience
EG&G Technical Services, Inc.
Jon Anderson, Senior Specialist
16 years of experience
Robert Marville, Analyst
14 years of experience
REVIEWERS
U.S. DOT, National Highway Traffic Safety Administration (NHTSA)
Noble Bowie, Director
Office of Planning & Consumer Standards
John Donaldson, Senior Attorney
Office of Chief Counsel
Carol J. Hammel-Smith, Program Analyst
Fuel Economy Division
Ken Katz, Lead Engineer
Fuel Economy Division
Orron Kee, Consultant
NHTSA (Retired)
6.0 List of AGENCIES CONSULTED
Council on Environmental Quality
U.S. Department of Energy
U.S. Environmental Protection Agency
Argonne 2002. The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) Model. Argonne National Laboratory Transportation Technology. February 2002. http://www.transportation.anl.gov/ttrdc/greet/index.html.
BTS 2000. National Transportation Statistics 2000. Bureau of Transportation Statistics. http://www.bts.gov/btsprod/nts/.
CTA 2001. Transportation Energy Data Book: Edition 21. Center for Transportation Analysis, U.S. Department of Energy. http://www-cta.ornl.gov/data/.
DOE 2001. Quality Metrics 2002, Final Report. U.S. Department of Energy, Program Analysis Methodology Office of Transportation Technology. Office of Transportation Technologies. May 9, 2001.
DOE 2002a. Annual Energy Outlook 2002, Table 45. U.S. Department of Energy, Energy Information Administration. http://www.eia.doe.gov/oiaf/aeo/supplement/index.html.
DOE 2002b. U.S. Department of Energy, Oak Ridge National Laboratory, Transportation Energy Data Book Number 21, Table 6.10, http://www-cta.ornl.gov/data/Index.html.
DOE 2002c. Annual Energy Outlook 2002, Table 49. U.S. Department of Energy, Energy Information Administration. http://www.eia.doe.gov/oiaf/aeo/supplement/index.html.
DOE 2002d. Annual Energy Outlook 2002, Table 12. U.S. Department of Energy, Energy Information Administration. http://www.eia.doe.gov/oiaf/aeo/supplement/index.html.
EIA 2002a. Monthly Energy Review. Energy Information Administration, U.S. Department of Energy. http://www.eia.doe.gov/emeu/mer/.
EIA 2002b. Annual Energy Outlook 2002. Report No. DOE/EIA-0383 2002. Energy Information Administration, U.S. Department of Energy. http://www.eia.doe.gov/oiaf/aeo/.
EIA 2002c. Analysis of Corporate Average Fuel Economy (CAFE) Standards for Light Trucks and Increased Alternative Fuel Use. Energy Information Administration. SR/OIAF/2002-05. Washington, D.C., March 2002.
EPA 1998a. Update of Fleet Characterization Data for Use in MOBILE6—Final Report. Table 4-5. Arcadis, Geraghty & Miller. EPAA420-P-98-016. p. 4-35. June 1998
http://www.epa.gov/otaq/models/mobile6/m6flt002.pdf.
EPA 1998b. National Air Pollutant Emissions Trends: 1900-1998. U.S. Environmental Protection Agency. http://www.epa.gov/ttn/chief/trends/trends98/.
EPA 1999a. Draft Inventory of GHG Emissions and Sinks (1990-1999), Tables ES-1 and ES-4, U.S. Environmental Protection Agency. http://www.epa.gov/globalwarming/publications/emissions/us2001/energy.pdf.
EPA 1999b. National Air Quality and Emissions Trends Report, 1999. U.S. Environmental Protection Agency. http://www.epa.gov/oar/aqtrnd99/.
EPA 2001. Latest Findings on National Air Quality: 2000 Status and Trends. U.S. Environmental Protection Agency. http://www.epa.gov/oar/aqtrnd00/.
EPA 2002a. MOBILE Model (on-road vehicles). Office of Transportation and Air Quality, U.S. Environmental Protection Agency. http://www.epa.gov/otaq/mobile.htm.
EPA 2002b. EPA Global Warming Site. U.S. Environmental Protection Agency. http://www.epa.gov/globalwarming/index.html.
EPA 2002c. EPA National Ambient Air Quality Standards (NAAQS). U.S. Environmental Protection Agency. http://www.epa.gov/airs/criteria.html.
EPA 2002d. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2000. U.S. Environmental Protection Agency. http://www.epa.gov/oppeoee1/globalwarming/publications/emissions/us2002/.
Epstein, Paul R. and Selber, Jesse, ed. 2002. Oil: A Life Cycle Analysis of its Health and Environmental Impacts. Boston: The Center for Health and the Global Environment.
FHWA 2000. Highway Statistics 2000. Federal Highway Administration, U.S. Department of Transportation. http://www.fhwa.dot.gov/ohim/hs00/.
Freeman, Harry M. 1995. Industrial Pollution Prevention Handbook. United States: McGraw-Hill, Inc. pp.740.
Goldberg, Pinelopi Koujianou Goldberg, "The Effects of the Corporate Average Fuel Efficiency Standards in the U.S.," The Journal of Industrial Economics, 46:1 (1998), 1-33.
Greene, David L., "Vehicle Use and Fuel Economy: How Big is the Rebound Effect?" The Energy Journal, 13:1 (1992), 117-143.
Greene, David L., Donald W. Jones, and Paul N. Leiby, The Outlook for U.S. Oil Dependence, ORNL-6873, Oak Ridge National Laboratory, May 11, 1995.
Greene, David L., James R. Kahn, and Robert C. Gibson, "Fuel Economy Rebound Effect for Household Vehicles," The Energy Journal, 20:3 (1999), 1-31.
Greene, David L., and Nataliya I. Tishchishyna, Costs of Oil Dependence: A 2000 Update, ORNL/TM-2000/152, Oak Ridge National Laboratory, May 2000.
Haughton, Jonathan, and Soumodip Sarkar, "Gasoline Tax as a Corrective Tax: Estimates for the United States," The Energy Journal, 17:2, 103-126.
Jones, Clifton T., "Another Look at U.S. Passenger Vehicle Use and the ‘Rebound’ Effect from Improved Fuel Efficiency, The Energy Journal, 14:4 (1993), 99-110.
Lave, Charles and Lave, Lester 1999. "Fuel Economy and Auto Safety Regulation: Is the Cure Worse than the Disease", Essays in Transportation Economics and Policy. Washington D.C.: Brookings Institution Press.
Leiby, Paul N., Donald W. Jones, T. Randall Curlee, and Russell Lee. 1997. Oil Imports: An Assessment of Benefits and Costs, ORNL-6851. Oak Ridge National Laboratory. November 1, 1997.
NRC 2002. Effectiveness and Impact of Corporate Average Fuel Economy (CAFE) Standards. Washington D.C.: National Academy Press.
NHTSA 1977. Final Environmental Impact Statement, Proposed Rulemaking concerning Passenger Automotive Average Fuel Economy. June 24, 1977
NHTSA 1978. Final Impact Assessment of the Light Truck and Fuel Economy Standards for MY 1980 and 1981. March 15, 1978.
NHTSA 1987. Final Environmental Impact Statement for the Corporate Average Fuel Economy Standards for Light Trucks, Model Years 1985-1987.
NHTSA 1997. The Effect of Decreases in Vehicle Weight on Injury Crash Rates. National Highway Traffic Safety Administration, U.S. Department of Transportation. http://www.nhtsa.dot.gov/people/ncsa/pdf/sizerept.pdf.
NHTSA, 1998. Overview of Vehicle Compatibility/LTV Issues. http://www.nhtsa.dot.gov/cars/problems/studies/LTV/
NHTSA 2002a. Notice of Proposed Rulemaking. September 2002.
NHTSA 2002b. Preliminary Economic Assessment. September 2002.
NHTSA, 2002c. Personal communication from NHTSA with Kevin Green of the Volpe National Transportation Systems Center. July 2002.
Pickrell, Don H., "Description of VMT Forecasting Procedure for ‘Car Talk’ Baseline Forecasts," manuscript, Volpe National Transportation Systems Center, U.S. Department of Transportation, 1994.
Ward’s 2002. Ward’s Reference Center. Ward’s Communications. http://wardsauto.com.
Appendix A. Analytical Methodology
Appendix B. Energy
Appendix A - ANALYTICAL Methodology
This section outlines the methodology used to estimate the environmental impacts associated with the Proposed Action, compared to the baseline (20.7 mpg). Most environmental impacts considered in this analysis would result from reductions in gasoline use due to the higher fuel economy of new light trucks produced during the model years in question. Environmental impacts from increased CAFE standards include reductions in emissions of carbon dioxide and other "greenhouse" gases resulting from reduced gasoline refining and use. Additionally, net changes in emissions of regulated or "criteria" air pollutants would result from increased light truck use and reduced gasoline refining.
Potential environmental impacts were estimated separately for each model year light truck over its life span in the U.S. vehicle fleet. The life span of a light truck extends from the initial year when it is offered for sale, typically late in the preceding calendar year, until the time when nearly all vehicles from that model year have been scrapped or retired from service, assumed to be 25 years after the vehicle is first sold. Each environmental impact is measured by determining the difference in a variable -- such as total gallons of fuel consumed by light trucks of a single model year during a future calendar year -when comparing the fuel economy under the Proposed Action with the baseline standard of 20.7 mpg. These estimated impacts are calculated and reported separately both for light trucks manufactured during each model year from 2005 through 2007, and for each future calendar year during which those vehicles remain in the U.S. vehicle fleet. Environmental impacts from tighter CAFE standards aggregated for each model year over its expected life span are reported in both undiscounted terms and as their present value discounted to the year when each model year is first offered for sale.
Table A-1 summarizes the main assumptions and parameters used in the analysis.
Table A-1. Summary of Main Assumptions and Parameters