Overview of existing Bridge Management Systems - Report by the IABMAS Bridge Management Committee (2014)

Abstract

Infrastructure managers are increasingly using infrastructure management systems to support their decision making processes. Owners and developers of these systems can benefit from an up‐to‐date view of the capabilities of the most advanced of these systems and how their system compares to others. Such knowledge can be used to help determine future development of their systems or allow identification of who to contact to investigate in detail how others have done, or are doing, what they are planning to do. To fill this knowledge gap the bridge management committee of IABMAS decided in July of 2008 to compile a report on the bridge management systems of the world to be issued in conjunction with the 2010 IABMAS conference. The first and the second reports were published in 2010 and 2012 respectively. This version, the 3nd, is based on the completed questionnaires on 25 bridge management systems (Table 1), from 18 countries, being used to manage approximately 1’000’000 objects. As the 2010 and 2012 reports did, this report provides a general overview of the bridge management systems and does not focus on the details of specific procedures used within the systems. It is expected that it will improve infrastructure management by reducing duplicate efforts in the integration of new functionality into management systems and by encouraging the development of ever better systems. The main body of this report includes a summary of the information in the questionnaires and basic comparisons between the systems. The information summarized and compared includes: ‐ General system information, ‐ IT system information, ‐ Inventory information of the principal user, ‐ Inspection information, including structure types, and numbers of structures per structure type ‐ Intervention information, including data collection level, information on the assessment on the element level, information on the assessment on the structure level, ‐ Prediction information, including the aspects being modeled, and ‐ Operation information, with respect to data collection and quality assurance. The questionnaires are given in the appendix.