00647288

Component

http://onlinepubs.trb.org...trcircular/423/423-002.pdf

The objective of bridge management is to allocate and use the limited resources in an optimal way for the provision of service. Data collection and data analysis are essential components of a bridge management process. Without these two activities, strategy selection and implementation cannot function efficiently. Data collection and analysis are therefore conducted not for their own sake, but to enable the other activities in the process to be well executed. An important purpose of data analysis is the prediction of the impact of different strategies on the system objectives. This involves predicting future conditions of bridge elements, agency costs of different projects and activities, and user and nonuser consequences expressed as user costs, user time, accident rates and other impacts. In this paper the application of several data analysis techniques, such as regression analysis, Markov chains, Bayesian estimation and fuzzy set theory for the prediction of bridge element condition, agency costs and user costs, is discussed. Whatever techniques are used, the point is stressed that the success of data analysis depends ultimately on the quality and sufficiency of data gathered. The objective of data analysis is not the analysis but better strategy selection. To assist in strategy development, several prioritization and optimization procedures exist that can be usefully applied. Some common techniques for priority setting and optimization, such as the analytic hierarchy process, linear and integer linear programming, dynamic programming and network techniques, are briefly discussed.

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00647286

English

p. 16-26

1994-4

Transportation Research Circular

Characteristics of Bridge Management Systems

Digital/other

References (23)

Bridge management systems; Bridges; Conferences; Costs; Data analysis; Estimation theory; Forecasting; Fuzzy sets; Inspection; Markov chains; Mathematical analysis; Optimization; Ratings; Regression analysis; Resource allocation; Strategic planning

Bridge condition; User costs

Bridges and other structures; Data and Information Technology; Design; Finance; Highways; Pavements; I25: Design of Tunnels

TRIS, TRB, ATRI

May 4 1994 12:00AM

• ANALYSIS OF BRIDGE MANAGEMENT DATA IN NORTH CAROLINA
• BRIDGE MANAGEMENT DECISION SUPPORT
• BRIDGE MANAGEMENT SYSTEM DATA NEEDS AND DATA COLLECTION
• BRIDGE MANAGEMENT TO THE YEAR 2000 AND BEYOND
• BRIDGIT BRIDGE MANAGEMENT SYSTEM SOFTWARE
• CONNECTICUT'S BRIDGE MANAGEMENT INFORMATION SYSTEM
• COUNTY BRIDGE MANAGEMENT REQUIREMENTS
• DEVELOPING USER COSTS FOR BRIDGE MANAGEMENT SYSTEMS
• DEVELOPMENT OF A BRIDGE MANAGEMENT SYSTEM IN ALABAMA
• INDIANA'S APPROACH TO A BRIDGE MANAGEMENT SYSTEM
• NBI CONDITION RATINGS FROM BMS DATA
• PENNDOT'S BRIDGE MANAGEMENT DECISION SUPPORT PROCESS
• PONTIS
• PROJECT BRIDGE MANAGEMENT IN ONTARIO
• UNIQUE CHARACTERISTICS OF DENMARK'S BRIDGE MANAGEMENT SYSTEM
• USER COSTS IN A BRIDGE MANAGEMENT SYSTEM
• WHAT A BRIDGE MANAGEMENT SYSTEM CAN DO FOR A LARGE CITY