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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Guide to Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25484.
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Page 61
Page 62
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Guide to Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25484.
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Page 62

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61 Boriboonsomsin, K., G. Scora, G. Wu, and M. Barth. 2011. Improving Vehicle Fleet, Activity, and Emissions Data for On-Road Mobile Source Emission Inventories. Prepared by the Center for Environmental Research and Technology, University of California at Riverside, for FHWA. Boriboonsomsin, K., K. Johnson, G. Scora, D. Sandez, A. Vu, T. Durbin, J. Yu, and A. Burnette. 2017. Collection of Activity Data from On-Road Heavy-Duty Diesel Vehicles. Final report to California Air Resources Board. Brzezinski, D. 2017. “Vehicle Idle Activity in MOVES.” U.S. EPA, presentation to MOVES Review Work Group, March 1, 2017. Cambridge Systematics, Inc. 2017. “Analysis of Car versus Truck Speed Distributions for Emissions Modeling.” Memorandum from Chris Porter and Richard Ge to Jim Ponticello, Peng Xiao, and Chris Voigt, Virginia Department of Transportation, January 31, 2017. Eastern Research Group, Inc. 2013. Study of MOVES Information for the National Emission Inventory. Prepared for the Coordinating Research Council, CRC Project A-84. Eastern Research Group, Inc. 2017. Improvement of Default Inputs for MOVES and SMOKE-MOVES. Prepared for the Coordinating Research Council, CRC Report No. A-100. Eastern Research Group, Inc., Cambridge Systematics, and Alliance Transportation Group. 2004. Heavy-Duty Vehicle Idle Activity and Emissions Characterization Study. Prepared for Texas Commission on Environmental Quality. E. H. Pechan and Associates and Cambridge Systematics. 2010. Advances in Project Level Analyses. Prepared for FHWA. FMCSA. 2011. Hours of Service of Drivers Final Rule, Federal Register 76:248, December 27, 2011. FMCSA. 2017. “Summary of Hours of Service Regulations.” https://www.fmcsa.dot.gov/regulations/ hours-service/summary-hours-service-regulations, accessed August 2017. Hallenbeck, M., E. McCormack, and S. Sankarakumaraswamy. 2016. Developing a System for Computing and Reporting MAP-21 and Other Freight Performance Measures. Prepared by Washington State Transportation Center for the University of Washington, WA-RD 844.1. Hoekzema, A. 2015. Modeling Truck Idling Emissions in Central Texas. Capital Area Council of Governments. Kear, T., J. Wilson, and J. Corbett. 2012. United States–Mexico Land Ports of Entry Emissions and Border Wait-Time White Paper and Analysis Template. Prepared by Cambridge Systematics, Inc., Energy and Environmental Research Associates, and TranSystems Corporation for FHWA. Kishan, S., T. DeFries, M. Sabisch, A. Standard, S. Fincher, H. Williamson, C. Ensfield, and C. Darby. 2012. Data Collection of Drayage Trucks in Houston-Galveston Port Area. Prepared for U.S. Environmental Protection Agency by ERG, CACI Intl., and Sensors, Inc. Kotz, A., K. Kelly, L. Strnad, D. Sonntag, G. Dolce, D. Brzezinski, J. Brakora, C. Fulper, and M. Beardsley. 2018. “MOVES Activity Updates Using Fleet DNA.” Presented at the 28th CRC Real World Emissions Workshop, March 20th, 2018. Miller, T., J. S. Fu, B. Hromis, J. M. Storey, and J. Parks. 2007. Diesel Truck Idling Emissions Measurements at PM2.5 Hot Spot. Transportation Research Record: Journal of the Transportation Research Board, No. 2011. Transportation Research Board of the National Academies, Washington, D.C., pp. 49–56. NREL (National Renewable Energy Laboratory). 2018. Fleet DNA: Commercial Fleet Vehicle Operating Data, https://www.nrel.gov/transportation/fleettest-fleet-dna.html, accessed January 2018. Noel, G., and R. Wayson. 2012. MOVES2010a Regional-Level Sensitivity Analysis. Prepared for FHWA by the Volpe National Transportation Systems Center, DOT-VNTSC-FHWA-12-05. Porter, C., D. Kall, D. Beagan, R. Margiotta, J. Koupal, S. Fincher, and A. Stanard. 2014a. NCHRP Web-Only Docu- ment 210: Input Guidelines for Motor Vehicle Emissions Simulator Model, Volume 1: Practitioners’ Handbook: Regional-Level Inputs. Transportation Research Board of the National Academies, Washington, D.C. References

62 Guide to Truck Activity Data for Emissions Modeling Porter, C., D. Kall, D. Beagan, R. Margiotta, J. Koupal, S. Fincher, and A. Stanard. 2014b. NCHRP Web-Only Docu- ment 210: Input Guidelines for Motor Vehicle Emissions Simulator Model, Volume 2: Practitioners’ Handbook: Project-Level Inputs. Transportation Research Board of the National Academies, Washington, D.C. Porter, C., D. Kall, D. Beagan, R. Margiotta, J. Koupal, S. Fincher, and A. Stanard. 2014c. NCHRP Web-Only Docu- ment 210: Input Guidelines for Motor Vehicle Emissions Simulator Model, Volume 3: Final Report. Transporta- tion Research Board of the National Academies, Washington, D.C. Port of Houston. 2017. 2013 Goods Movement Air Emissions Inventory. Prepared by Eastern Research Group, Inc. U.S. EPA. 2015. Exhaust Emission Rates for Light-Duty On-Road Vehicles in MOVES2014. EPA-420-R-15-005. U.S. EPA. 2016. Population and Activity of On-Road Vehicles in MOVES2014. Report No. EPA-420-R-16-003. U.S. EPA and NHTSA. 2016. Greenhouse Gas Emissions and Fuel Efficiency Standards for Medium- and Heavy- Duty Engines and Vehicles—Phase 2 Regulatory Impact Analysis. EPA-420-R-16-900. Zietsman, J., and D. G. Perkinson. 2003. Heavy-Duty Diesel Vehicle (HDDV) Idling Activity and Emissions Study: Phase 1—Study Design and Estimation of Magnitude of the Problem. Texas Transportation Institute, Prepared for Texas Commission on Environmental Quality.

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Guide to Truck Activity Data for Emissions Modeling Get This Book
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TRB’s National Cooperative Highway Research Program (NCHRP) Research Report 909: Guide to Truck Activity Data for Emissions Modeling explores methods, procedures, and data sets needed to capture commercial vehicle activity, vehicle characteristics, and operations to assist in estimating and forecasting criteria pollutants, air toxics, and greenhouse gas emissions from goods and services movement.

Goods movement is a vital part of the national economy, with freight movement growing faster than passenger travel. The growth in freight traffic is contributing to urban congestion, resulting in hours of delay, increased shipping costs, wasted fuel, and greater emissions of greenhouse gas and criteria pollutants. The limited national data on urban goods movement are insufficient for a thorough understanding of the characteristics of the trucks operating in metropolitan areas and the complex logistical chains that they serve.

For instance, there are at least three different segments of urban freight—long haul, drayage, and pickup and delivery. It is believed that truck fleet characteristics differ between the segments, but only local registration data exist at a level of detail needed to support regional transportation plans, transportation improvement plans, and state implementation plans. The lack of data on all types of commercial trucks affects model estimation and results in inaccurate base year emissions inventories, limiting the ability to design and implement effective policies to reduce freight-related emissions.

NCHRP Research Report 909 enumerates various sources of truck data and how they can be obtained and used to support emissions modeling.

NCHRP Web-Only Document 210: Input Guidelines for Motor Vehicle Emissions Simulator Model (Porter et al., 2014a, 2014b, 2014c) provides guidance on developing local inputs to the MOVES mode. It covers all vehicle types, but is not specific to trucks. NCHRP Research Report 909 supplements NCHRP Web-Only Document 210 by describing the use of various data sources to obtain truck-specific inputs.

Appendices A through G to NCHRP Research Report 909 are published as NCHRP Web-Only Document 261 and contain seven case studies that serve as the basis for much of the guidance provided in NCHRP Research Report 909.

NCHRP Research Report 909 is also supplemented by three MS Excel files that contain data from the case studies:

Case Studies #1 and #7

Case Study #2

Case Studies #3, #4, and #6

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