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Development of User Cost Data for Florida's Bridge Management System
FDOT is implementing the AASHTOWare Pontis Bridge Management Systems (BMS) as a decision support tool for planning and programming bridge maintenance, repair, rehabilitation, improvements, and replacement for more than 6,000 bridges on the state highway network. A BMS stores inventory and inspection data in a database, and uses engineering and economic models to predict the possible outcomes of policy and program decisions. User cost models are used in Pontis to quantify, in economic terms, the potential safety and mobility benefits of functional improvements to bridges. The Pontis user cost model estimates the user benefits of three types of functional improvements: Bridge widening, which primarily affects accident risk on the roadway carried by the bridge. Bridge raising, which affects the ability for tall trucks to pass under the bridge. The user cost model predicts the potential savings in truck detour costs. Bridge strengthening, which affects the ability for heavy trucks to pass over the bridge. Here, also, the user cost model predicts the potential savings in truck detour costs.
Development of User Cost Data for Florida's Bridge Management System
FDOT is implementing the AASHTOWare Pontis Bridge Management Systems (BMS) as a decision support tool for planning and programming bridge maintenance, repair, rehabilitation, improvements, and replacement for more than 6,000 bridges on the state highway network. A BMS stores inventory and inspection data in a database, and uses engineering and economic models to predict the possible outcomes of policy and program decisions. User cost models are used in Pontis to quantify, in economic terms, the potential safety and mobility benefits of functional improvements to bridges. The Pontis user cost model estimates the user benefits of three types of functional improvements: Bridge widening, which primarily affects accident risk on the roadway carried by the bridge. Bridge raising, which affects the ability for tall trucks to pass under the bridge. The user cost model predicts the potential savings in truck detour costs. Bridge strengthening, which affects the ability for heavy trucks to pass over the bridge. Here, also, the user cost model predicts the potential savings in truck detour costs.
Development of User Cost Data for Florida's Bridge Management System
P. D. Thompson (author) / F. T. Najafi (author) / R. Soares (author) / H. J. Choung (author)
1999
56 pages
Report
No indication
English
Highway Engineering , User costs , Florida , Bridges(Structures) , Bridge maintenance , Rehabilitation , Improvements , Accident risks , Sensitivity analysis , Literature reviews , Costs , Accident costs , Highway planning , Statistical data , Safety , Decision making , Economic models , Bridge Management System(BMS) , Pontis user cost model
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