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Rate of highway-related fatalities per 100 million vehicle miles traveled (VMT).
Data Source: NHTSA's Fatality Analysis Reporting System (FARS) for fatality data. FHWA's VMT data provided by its Highway Performance Monitoring System (HPMS). Information is transmitted to NHTSA and entered into the system after undergoing data review by NHTSA.
Scope of Data: Number of fatalities come from Fatality Analysis Reporting System (FARS) data, a census of fatal traffic crashes within the 50 states, D.C. and Puerto Rico. To be included in FARS, a crash must result in the death of an occupant of a vehicle or a non-motorist within 30 days of the crash. FARS data is a 100% count of fatal crashes collected from police crash reports, and other state data. FARS data cover all roadways open to the public, using the National Highways System classification of roads. Pedestrian and bicycle fatalities that occur on public highways but do not involve a motor vehicle are not recorded in FARS; however, this is a small number of fatalities. Vehicle Miles of Travel (VMT) data is derived by FHWA from state reported estimates of travel based on various levels of sampling dependent on road type.
Measurement Methodology: FARS data are collected in each State by State employees, translated into a standard format, and transmitted to the NHTSA. Data are collected from police crash reports, State vehicle registration files, driver licensing files, highway agency records, vital statistics, death certificates, coroner/medical examiner reports, hospital medical reports, and emergency medical service reports.
The HPMS is an integrated data base that relies on the State highway agencies to annually report area wide data, universe data, standard sample data, "donut" area sample data, and linear reference system data for GIS.
Comments: FARS data elements are modified slightly from year to year to respond to emphasis areas, vehicle fleet changes, and other needs for improvement.
FARS is a census of all highway traffic fatalities. As such it does not include information on crashes that produce only non-fatal injuries or that result in only property damage.
Quality improvements are needed for location information in FARS that permits linkage to highway information for targeting problems and improvement strategies for the highway infrastructure. NHTSA is developing a GPS strategy to correct this shortcoming starting in 1998.
Highway-related injuries per 100 million vehicle miles traveled.
Data Source: DOT information systems: NHTSA General Estimates System (GES) for number of nonfatal injuries and FHWA Highway Performance Monitoring System (HPMS) for VMT both using States' data
Scope of Data: Injured persons data is derived from General Estimates System (GES), a nationally representative probability sample that makes national estimates of total nonfatal injury crashes, injured persons, and property damage only crashes. GES data cover all roadways open to the public, using the National Highways System classification of roads. Vehicle Miles of Travel (VMT) data is derived by FHWA from state reported estimates of travel based on various levels of sampling dependent on road type.
Measurement Methodology: The GES collects general information about the location of crashes in its sample. The HPMS is an integrated data base that relies on the State highway agencies to annual report area wide data, universe data, standard sample data, "donut" area sample data, and linear reference system data for GIS. The area wide data consist of five statewide summaries. The summaries include data on travel and fatal and nonfatal crashes. This summary will be dropped from future HPMS. The HPMS was a source a national nonfatal injury data.
Comments: The GES sample plan only allows estimates of national totals, not detailed State by State breakdowns. Only general information is collected on the type of crash and highway system involved. The GES sample is designed to analyze vehicle and occupant injury information, not the roadway elements.
Although various sources suggest that about half the motor vehicle crashes in the country are not reported to police, the majority of these unreported crases involve only minor property damage and no significant personal injury. By restricting attention to police reported crashes, the GES concentrates on those crashes of greatest concern to the highway safety community and the general public.
Percent of kilometers (miles) on the National Highway System (NHS) that meet pavement performance standards for acceptable ride quality (International Roughness Index less than or equal to 2.68 m/km (170 in/mi).
Data Source: Information system: Highway Performance Information System (HPMS)
Scope of Data: Data collected by the State Highway Agencies and reported to FHWA for the Highway Performance Monitoring System (HPMS). They are obtained from calibrated devices that measure a road profile in accordance with American Society for Testing and Materials standards. Measurement procedures are included in the HPMS Field Manual.
Measurement Methodology: Data are collected by the State Highway Agencies and reported to FHWA for the HPMS. They are obtained from calibrated measurement devices that meet industry set standards. Measurement procedures are included in the HPMS Field Manual.
Data Issues: IRI data for the approved NHS exist from 1995 onward. Past data (1993 and 1994) was collected on the proposed, rather than the approved NHS. No NHS IRI data are available prior to 1993. The HPMS requires States to report IRI data every two years; however, not all States rigorously adhere to this requirement.
Percentage of NHS bridges classified as deficient (structurally deficient or functionally obsolete).
Percentage of all bridges classified as deficient (structurally deficient or functionally obsolete).
Data Source: National Bridge Inventory (NBI) information.
Scope of Data: The National Bridge Inventory System (NBIS) requires the inspection of all bridges located on public roads and the submission of the collected bridge inventory and inspection data to the FHWA for inclusion in the NBI. The FHWA maintains the NBI. The NBI contains data on the Nation's 582,750 bridges. The information in the NBI contains 95 data items for each of the bridges as required by the Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation's Bridges. From the data provided, the FHWA monitors the condition of the Nation's bridges, which includes identifying those bridges that are either functionally obsolete or structurally deficient.
Measurement Methodology: The bridge information is collected by the State DOTs and other bridge owners and is provided to the FHWA at least annually (Note: Some states do it quarterly). As part of the FHWA's NBI, NBIS, and Highway Bridge Replacement and Rehabilitation Program (HBRRP) monitoring and oversight responsibilities, the accuracy and reliability of the submitted NBI information is constantly evaluated through data checks and field reviews by both Headquarters and field office personnel.
Data Issues: The NBI is the world's most comprehensive database of bridge information.
Percent user satisfaction with the Nation's highway systems. (Baseline and target are being developed.)
Data Source: National Personal Transportation Survey (NPTS) and National Quality Initiative (NQI) survey.
Scope of Data: A national sample of households.
Measurement Methodology: Through the National Personal Transportation Survey or a comparable national effort, survey users/customers to ascertain satisfaction with highway conditions and performance. The survey results will be available in early calendar year 2000 and used during FY 2001 as a baseline for developing future Performance Plans. Results will be published and communicated nationally to partners and customers
Data Issues: Because of the upcoming U.S. Census activity, there will be a moratorium on other government surveys. This may impact the timing of conducting a user satisfaction survey.
Percent user satisfaction with the Nation's intermodal linkages.
Data Source: Traveler Perception Survey
Scope of Data: A national sample of freight shippers and passengers.
Measurement Methodology: Through the National Personal Transportation Survey or a comparable national effort, survey both freight shippers/stakeholders and passengers to ascertain satisfaction with both highway system and connectors.
Data Issues: None
Congested travel:
2001: Slow the projected growth figure of 33.6% to 33.4%
2002: Slow the projected growth figure of 34.1% to 33.9%
Data Source: Highway Performance Monitoring System (HPMS).
Scope of Data: HPMS data elements reported from approximately 400 urbanized areas within the United States. Data is based upon daily travel from freeways and arterial streets.
Measurement Methodology: Methodology used to calculate performance measures has been developed by the Texas Transportation Institute and used in their annual Mobility Study.
Data Issues: The proportion of congested travel figures used in calculating the measures are computed rather than measured values. The computed values may understate congestion, as delay from incidents is not calculated.
Traveler Delay
2001: Slow the projected growth of 34 hours to 33.5 hours.
2002: Slow the projected growth of 35 hours to 34.5 hours.
Data Source: Highway Performance Monitoring System (HPMS).
Scope of Data: HPMS data elements reported from approximately 400 urbanized areas within the United States. Data is based upon daily travel on freeways and arterial streets. Hours of delay is derived from congested traffic volumes, crashes, and/or vehicle breakdowns.
Measurement Methodology: Methodology used to calculate performance measures has been developed by the Texas Transportation Institute and used in their annual Mobility Study.
Data Issues: None
Slow the projected growth of Travel Time
2001: Slow the projected growh percentage of 27% to 26.6%
2002: Slow the projected growh percentage of 28% to 27.6%
Scope of Data: HPMS data reported from approximately 400 urbanized areas within the United States. Data represents peak period travel.
Measurement Methodology: Methodology used to calculate performance measures has been developed by the Texas Transportation Institute and used in their Mobility Study.
Data Issues: The travel time figures used in calculating the measures are computed rather than measured values. The computed values may understate travel time, as delay from incidents is not calculated.
Cost of highway freight per ton-kilometer (to be developed).
The following interim steps will be taken in FY 2001 to develop the performance measure "Cost of highway freight per ton-mile"
Hours of delay/1000 commercial vehicles processed at NHS border crossings.
The following interim steps will be taken in FY 2001 to develop the performance measure "Hours of delay per 1000 vehicles processed at 4 NHS border crossing pilot sites."
Improve the efficiency of highway infrastructure investments, by developing and promoting the use of engineering/economic analysis tools for decision making.
To be developed.
For FY 2000, FHWA has identified two immediate initiatives which will help FHWA to meet this long-term goal: (1) Establish a pilot program with five states in FY 2000 to test the applicability of existing engineering/economic investment models, specifically the Highway Economic Requirements System (HERS) Model, to help states make highway program investment decisions; and (2) Initiate development of a life-cycle cost analysis (LCCA) model for subsequent testing by states in FY 2001.
Percent community satisfaction with the Nation's highways contribution to meeting community goals. (To be developed as part of the Nationwide Personal Transportation Survey (NPTS) and the BTS Omnibus survey; see also mobility goal).
Data Source: FHWA NPTS FY 2000 Survey and the BTS Omnibus survey.
Scope of Data: National sample of population.
Measurement Methodology: FHWA's Office Highway Policy Information administers the survey. BTS is developing the Omnibus survey.
Data Issues: NPTS is conducted about every 5 years rather than annually so year to year trends will not be available. BTS will include community satisfaction questions in its survey, but a measure of community satisfaction will have to be developed.
EPA rating of FHWA Environmental Impact Statements (EIS). Percent of EIS's rated LO.
Data Source: FHWA Database of EPA EIS Ratings
Scope of Data: Data captured is EPA staff ratings of EISs prepared by other Federal agencies.
Measurement Methodology: EPA's Office of Federal Activities compiles data from EPA regional office comment letters.
On-road mobile source emissions in short tons.
Data Source: National Air Quality and Emissions Trends Report, EPA. (EPA uses data from FHWA's Highway Performance Monitoring System (HPMS)).
Scope of Data: Figure is the sum of on-road mobile source emissions of carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter less than 10 microns in diameter (PM-10).
Measurement Methodology: The annual emissions level is the estimated total annual tonnage of on-road mobile source emissions of carbon monoxide, hydrocarbons, nitrogen oxides, and PM-10 as reported in the latest EPA Trends Report.
Data Issues: The Trends Report is usually available around October of each year. There is a 1-year time lag for the emissions data. For example, the March 2000 report contains 1998 data.
The EPA's use of a mathematical model poses issues of model validation. The annual variation in the model's estimates, as measured by the regression standard error, is 2.57. The HPMS data used as input to the model are subject to sampling and non-sampling errors.
Percent of nonattainment and maintenance areas meeting their mobile source emissions budget goals.
Data Source: FHWA Field offices
Scope of Data: Data is collected every year on July 1 in order to generate data trend.
Measurement Methodology: Each FHWA field office is requested to report the number of nonattainment and maintenance areas that meet their mobile source emissions budget by pollutant.
Data Issues: The makeup and severity of nonattainment areas will vary year to year. The data collected reflect only a snapshot status of the nonattainment and maintenance area. When an area does not meet the air quality standard for one of the criteria pollutants, it may be subject to the formal rulemaking process which designates it "nonattainment." The Clean Air Act Amendments (CAAA) of 1990 and subsequent rulemakings further classify ozone (O3), carbon monoxide (CO), and some particulate matter (PM-10) nonattainment areas based on the magnitude of the area's problem. Nonattainment classifications are used to specify what air pollution reduction measures an area must adopt and when the area must reach attainment.
Ratio of wetland replacement resulting from Federal-aid highway projects.
Data Source: State DOT wetland mitigation databases.
Scope of Data: Scope of Data: Data is available for FY96 through FY2000.
Measurement Methodology: Data records are compiled by DOTs using locally developed databases. A new FHWA Wetlands Management Database, when available, will also be used.
Data Issues: At this time, FHWA only requests data on an annual basis. The data is summary in nature; reflecting total acres of wetlands impacted versus total acres of mitigation provided.
The uniformity of the data is not guaranteed. The data is subject to interpretation by the reporting State DOTs. In particular, there is no uniform understanding of what should be reported as mitigation acreage. The FHWA has provided guidance on mitigation activities to report and will soon issue the Wetlands Management Database which should reduce the current variations in data received from the States.
Percentage of strahnet and strahnet connectors with IRI £ 170 in/mi
Data Source: The FHWA Highway Performance Monitoring System (HPMS) for roads and National Bridge Inventory (NBI) for bridges on strahnet (including strahnet connectors) and Customer Surveys.
Scope of data: Adequate condition of strahnet and strahnet connectors to support DOD deployment and mtmctea Satisfaction Data with highways serving military installations.
Measurement methodology: Annual update to HPMS, NBI, and Customer-Partner Surveys.
Data issues: HPMS and NBI condition data continually being updated and made more accurate for use in geographical information system (GIS) application. Customer-Partner satisfaction criteria and data is being developed.
Percentage of STRAHNET bridges classified as deficient (structurally deficient or functionally obsolete).
Data Source: National Bridge Inventory (NBI) information.
Scope of Data: The National Bridge Inventory System (NBIS) requires the inspection of all bridges located on public roads and the submission of the collected bridge inventory and inspection data to the FHWA for inclusion in the NBI. The FHWA maintains the NBI. The NBI contains data on the Nation's 582,750 bridges. The information in the NBI contains 95 data items for each of the bridges as required by the Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation's Bridges. From the data provided, the FHWA monitors the condition of the Nation's bridges, which includes identifying those bridges that are either functionally obsolete or structurally deficient.
Measurement Methodology: The bridge information is collected by the State DOTs and other bridge owners and is provided to the FHWA at least annually (Note: Some states do it quarterly). As part of the FHWA's NBI, NBIS, and Highway Bridge Replacement and Rehabilitation Program (HBRRP) monitoring and oversight responsibilities, the accuracy and reliability of the submitted NBI information is constantly evaluated through data checks and field reviews by both Headquarters and field office personnel.
Data Issues: The NBI is the world's most comprehensive database of bridge information.
