State Highway Infrastructure Report - Virginia - State - Reporting - Transportation Performance Management

State Highway Infrastructure Report - Virginia

The information below summarizes the TPM Highway Infrastructure performance measures, which include four pavement condition measures and two bridge condition measures. Per 23 CFR 490, State Departments of Transportation (DOTs) are required to establish 2- and 4-year targets for these measures. The targets should represent the anticipated condition/performance at the mid-point and end of the 4-year performance period. State DOTs establish targets at the beginning of each 4-year performance period, and report on progress every two years. When establishing targets, State DOTs have the flexibility to use the methodology they deem most appropriate. FHWA encourages States to review data sets and trends and consider factors that may affect targets. Performance targets should be data-driven, realistic, and attainable and should align with the performance management framework and legislative intent.

The targets and discussion of basis for targets, optional adjustment of targets, progress, and planned activities were provided by the State DOT in its most recent biennial performance report. FHWA has not edited this information. It is provided to help bring context to the State DOT’s performance targets and progress. The data in the tables and graphs is from the biennial performance report or HPMS data submittal as noted below each measure summary. Any questions about the information should be directed to the State DOT.

Data reported by State DOTs was collected in the previous year, representing the condition/performance at the time of collection. Thus, in the tables and graphs below, FHWA labels data with the year representing the condition/performance, rather than the year the data was reported. The same thing is done for the targets--the year represents when the corresponding actual condition/performance data will be collected, not reported. More Information.

Significant Progress Determination
FHWA determines significant progress for these measures after the mid-point and end of each performance period. A State has met or made significant progress toward target achievement if “actual” condition/performance is equal to or better than the established two-year target or “actual” condition/performance is better than baseline performance 23 CFR 490.109(e). As provided in 23 CFR 490.107(b)(2)(ii)(A), baseline condition/performance is derived from the latest data collected through the beginning date of the performance period. FHWA will classify the assessment of progress toward the achievement of an individual 2-year or 4-year target as “progress not determined” if a State provides the extenuating circumstance information required in 23 CFR 490.109(e)(5), and FHWA accepts the information.

Most recent Significant Progress Determination for the Infrastructure measures

Most Recent Significant Progress Determination for all applicable measures

Interstate Pavement in Good Condition
- Trend through 2025
  
  Desired trend: ↑
  
  Virginia % Interstate Lane Miles Good Condition

Interstate Pavement in Good Condition	2021	2022	2023	2024	2025
Condition/Performance	57.3	--	--	--	--
Target	--	--	45.0	--	45.0

Interstate Pavement in Good Condition
Current performance, performance data from recent history, and predicted performance trends over the next ten years were used for the development of Virginia’s pavement targets for both interstates and non-Interstate NHS pavements. Pavement performance models used in the pavement management system assume average pavement deterioration and current levels of pavement funding available in future years. A number of factors may affect future performance, including any significant cost increases for materials, higher load levels from allowing heavier trucks on roads, and extreme weather conditions, particularly more severe than normal freeze-thaw cycles. Impacts from these factors are hard to quantify and cannot be predicted by the models. Additional details of the target setting methodology and analyses are documented in a technical memorandum titled “Federal Pavement Performance Measure Modeling,” which was developed in support of Virginia’s Transportation Asset Management Plan (TAMP). This document has been shared with FHWA’s Virginia Division Office
Data Sources:
Virginia 2022 Biennial Performance Report
Virginia 2022 HPMS Data Submittal

Interstate Pavement in Poor Condition
- Trend through 2025
  
  Desired trend: ↓
  
  Virginia % Interstate Lane Miles in Poor Condition

Interstate Pavement in Poor Condition	2021	2022	2023	2024	2025
Condition/Performance	0.1	--	--	--	--
Target	--	--	3.0	--	3.0

Interstate Pavement in Poor Condition
Current performance, performance data from recent history, and predicted performance trends over the next ten years were used for the development of Virginia’s pavement targets for both interstates and non-Interstate NHS pavements. Pavement performance models used in the pavement management system assume average pavement deterioration and current levels of pavement funding available in future years. A number of factors may affect future performance, including any significant cost increases for materials, higher load levels from allowing heavier trucks on roads, and extreme weather conditions, particularly more severe than normal freeze-thaw cycles. Impacts from these factors are hard to quantify and cannot be predicted by the models.
Additional details of the target setting methodology and analyses are documented in a technical memorandum titled “Federal Pavement Performance Measure Modeling,” which was developed in support of Virginia’s Transportation Asset Management Plan (TAMP). This document has been shared with FHWA’s Virginia Division Office.
Data Sources:
Virginia 2022 Biennial Performance Report
Virginia 2022 HPMS Data Submittal

Non-Interstate National Highway System (NHS) Pavement in Good Condition
- Trend through 2025
  
  Desired trend: ↑
  
  Virginia % Non-Interstate Lane Miles Good Condition

Non-Interstate National Highway System (NHS) Pavement in Good Condition	2021	2022	2023	2024	2025
Condition/Performance	33.5	--	--	--	--
Target	--	--	25.0	--	25.0

Non-Interstate National Highway System (NHS) Pavement in Good Condition
Current performance, performance data from recent history, and predicted performance trends over the next ten years were used for the development of Virginia’s pavement targets for both interstates and non-Interstate NHS pavements. Pavement performance models used in the pavement management system assume average pavement deterioration and current levels of pavement funding available in future years. A number of factors may affect future performance, including any significant cost increases for materials, higher load levels from allowing heavier trucks on roads, and extreme weather conditions, particularly more severe than normal freeze-thaw cycles. Impacts from these factors are hard to quantify and cannot be predicted by the models.
Additional details of the target setting methodology and analyses are documented in a technical memorandum titled “Federal Pavement Performance Measure Modeling,” which was developed in support of Virginia’s Transportation Asset Management Plan (TAMP). This document has been shared with FHWA’s Virginia Division Office.
Data Sources:
Virginia 2022 Biennial Performance Report
Virginia 2022 HPMS Data Submittal

Non-Interstate National Highway System (NHS) Pavement in Poor Condition
- Trend through 2025
  
  Desired trend: ↓
  
  Virginia % Non-Interstate Lane Miles Poor Condition

Non-Interstate National Highway System (NHS) Pavement in Poor Condition	2021	2022	2023	2024	2025
Condition/Performance	0.5	--	--	--	--
Target	--	--	5.0	--	5.0

Non-Interstate National Highway System (NHS) Pavement in Poor Condition
Current performance, performance data from recent history, and predicted performance trends over the next ten years were used for the development of Virginia’s pavement targets for both interstates and non-Interstate NHS pavements. Pavement performance models used in the pavement management system assume average pavement deterioration and current levels of pavement funding available in future years. A number of factors may affect future performance, including any significant cost increases for materials, higher load levels from allowing heavier trucks on roads, and extreme weather conditions, particularly more severe than normal freeze-thaw cycles. Impacts from these factors are hard to quantify and cannot be predicted by the models.
Additional details of the target setting methodology and analyses are documented in a technical memorandum titled “Federal Pavement Performance Measure Modeling,” which was developed in support of Virginia’s Transportation Asset Management Plan (TAMP). This document has been shared with FHWA’s Virginia Division Office.
Data Sources:
Virginia 2022 Biennial Performance Report
Virginia 2022 HPMS Data Submittal

National Highway System (NHS) Bridges in Good Condition
- Trend through 2025
  
  Desired trend: ↑
  
  Virginia % Deck Area in Good Condition on NHS Bridges

National Highway System (NHS) Bridges in Good Condition	2021	2022	2023	2024	2025
Condition/Performance	29.8	--	--	--	--
Target	--	--	27.2	--	25.1

National Highway System (NHS) Bridges in Good Condition
Using VDOT’s Structure and Bridge AASHTOWare Bridge Management Database, historical bridge performance and expected deterioration rates were compared to existing programmed bridge work and anticipated maintenance and construction funding over the next four years. Based on this information, the established 2- and 4-year targets are consistent with a steady and acceptable decrease in the share of NHS bridge deck area classified in good condition through 2023 and 2025.
Virginia expects the percentage of Good deck area on the NHS to decrease steadily over the next 10 years, which is reflected in its 2- and 4-year targets. These targets are entirely appropriate given available funding, the age and condition of the inventory, and, most importantly, the need to minimize life-cycle costs. For a structure to attain and sustain Good status, replacement of one or more major components (if not the entire bridge) is usually necessary. Good stewardship of the bridge inventory requires Virginia to be highly strategic in implementing the most cost-effective interventions on its bridges. Generally speaking, the life-cycle cost of improving a bridge from the Fair condition category to the Good condition category is much higher than improving and preserving a Fair bridge without changing its condition category (allowing it to stay Fair). Rather than spending funds unnecessarily to replace components that can and should be preserved, Virginia is choosing to minimize life-cycle costs. This leads to replacing bridges and bridge components only when necessary and rehabilitating/preserving whenever that is the most effective use of public funds.
Data Sources:
Virginia 2022 Biennial Performance Report
Virginia 2022 NBI Data Submittal

National Highway System (NHS) Bridges in Poor Condition
- Trend through 2025
  
  Desired trend: ↓
  
  Virginia % Deck Area in Poor Condition on NHS Bridges

National Highway System (NHS) Bridges in Poor Condition	2021	2022	2023	2024	2025
Condition/Performance	3.0	--	--	--	--
Target	--	--	3.3	--	3.6

National Highway System (NHS) Bridges in Poor Condition
Using VDOT’s Structure and Bridge AASHTOWare Bridge Management Database, historical bridge performance and expected deterioration rates were compared to existing programmed bridge work and anticipated construction and maintenance funding over the next four years. Based on this information, the 2- and 4-year targets are consistent with a slight increase in the share of NHS bridge deck area classified in Poor condition through 2023 and 2025, while focusing investments on bridges in Fair condition. This preservation strategy results in an acceptable and predicted near term increase in Poor condition but will result in improved overall performance in the long term.
Data Sources:
Virginia 2022 Biennial Performance Report
Virginia 2022 NBI Data Submittal

Significant Progress Determination

This table shows FHWA’s most recent determination for the Infrastructure performance measures.

PLEASE NOTE: Each State’s performance target assessment is based on its own State-specific target methodology and program philosophy. Therefore, conclusions should not be drawn based only on the information in the Significant Progress Determination Results table. FHWA understands that each State’s program is unique and therefore does not prescribe a methodology for States to set targets. States have the flexibility to use the methodology they deem most appropriate when setting their performance targets.

Virginia 2022 Full Performance Period Significant Progress Determination Results
Measure Area	Measures		Baseline	Target	Actual	Better than Baseline?	Achieved Target?	Made Significant Progress?	Consequences [23 CFR 490.109(f)]
The condition of pavements on the Interstate System	Percentage of pavements of the Interstate System in Good condition		57.9¹	45.0	57.3	No	Yes	Yes	None
The condition of pavements on the Interstate System	Percentage of pavements of the Interstate System in Poor condition		0.3²	3.0	0.1	Yes	Yes	Yes	None
The condition of pavements on the National Highway System (NHS) (excluding the Interstate)	Percentage of pavements of the non-Interstate NHS in Good condition	Based only on IRI	54.5	---	54.3	No	---	Yes	None
		Based on Full Distress + IRI	---	25.0	33.5	---	Yes	Yes
	Percentage of pavements of the non-Interstate NHS in Poor condition	Based only on IRI	9.1	---	9.2	No	---	Yes
		Based on Full Distress + IRI	---	5.0	0.5	---	Yes	Yes
The condition of bridges on the National Highway System	Percentage of NHS bridges classified as in Good condition		33.6	30.5	29.8	No	No	No	Additional Reporting
The condition of bridges on the National Highway System	Percentage of NHS bridges classified as in Poor condition		3.5	3.0	3.0	Yes	Yes	Yes	Additional Reporting

¹ The 2-year condition/performance, in 2020 Mid Performance Period Progress Report, as the baseline condition/performance, as required in 23 CFR 490.105(e)(7)(iii).
² Ibid.

Transportation Performance Management