Deliver preventive maintenance for TxDOT’s system and capital assets to protect our investments. The Preserve our Assets goal includes the following objectives:
Click on the measures and highlights related to this strategic goal below to see more information about them.
Description: Measurement of bridge conditions on Texas roadways.
How is it measured? The Bridge Condition Score indicates the current overall physical health of all bridges in the state. This measure takes into account the average of each vehicular bridge’s condition rating, weighted by the size of the bridge. This measure can range from 50 to 95, with a higher number indicating a healthier bridge inventory.
Bridge Condition Scores apply to four different categories of roads:
Why this matters? Tracking bridge conditions allows us to forecast performance and determine trends given various funding scenarios for bridge maintenance, repair and replacement.
What are the results? The statewide bridge condition score has remained stable over the last several years thanks in part to our bridge management programs and maintenance activities. However, some leading indicators suggest the measure is likely to see a slight decline within the next few years. Read the highlight below (“How TxDOT Preserves Bridge Assets”) to see the steps we are taking to address this.
Description: Measurement of pavement quality on Texas roadways.
How is it measured? Pavement condition score is a combined index of ride quality and pavement surface distress, adjusted for traffic and speed. The data for ride quality and pavement surface distress is combined to provide an overall score ranging from 1 (worst condition) to 100 (best condition) per lane mile. A score of 70 or above indicates the pavement condition is in good or better condition.
Percentage of lane miles in good or better condition is the ratio of pavement lane miles on Texas roadways that scored 70 or above to the total analyzed lane miles, described in five different categories of roads:
*The “Energy Sector” is defined as counties that have primary corridors used by industry to connect active energy areas with energy service providers. Of Texas’ 254 counties, there are 112 in the Energy Sector.
Why this matters? Tracking pavement quality helps us identify roads in need of repair and plan funding for their maintenance and rehabilitation.
What are the results? The percentage of statewide lane miles in good or better condition improved between 2019 and 2020 thanks to improved pavement management, maintenance and rehabilitation techniques.
Texas is home to the largest network of vehicular bridges in the country (more than 54,000 structures). TxDOT is responsible for ensuring that these bridges remain in safe condition.
Despite having nearly twice as many structures as any other state in the country, only 1.1% of Texas bridges are currently in “poor” condition, which is best in the nation. Texas has excelled at reducing the number of “poor” bridges largely due to strategic funding programs that efficiently repair or replace them.
While replacing “poor” bridges from the inventory is an important and effective approach to eliminating our worst-performing structures, more work is needed to ensure bridges remain in acceptable condition for longer periods of time.
As Texas’ network of bridges continues to grow and our existing infrastructure ages, advanced programming becomes more critical. TxDOT is working to proactively manage its bridges through data-informed asset management techniques that maintain bridges in a state of good repair for longer periods of time.
Each year, all 25 of our districts develop a comprehensive Four-Year Pavement Management Plan. The plan covers the maintenance and rehabilitation work planned for pavements in the district.
The Four-Year Plan allows districts to more effectively allocate finite resources through long-term planning to meet pavement-condition objectives. Through the plan, districts can identify their highest priority projects and work based on available funding. From the planned projects, we can better predict future pavement conditions for individual districts and the state as a whole.
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