
Bridge management is essential for optimizing available resources. Prioritising maintenance and assessing the effectiveness of different maintenance strategies are based on the conventional condition ratings of bridge components. This paper presents the development of a Decision Support System for maintenance management at the Network Bridge Level, based on the theory of the Dominance-Based Rough Set Approach. Dominance-Based Rough Set Approach produces a decision model expressed in terms of easily understandable “if…, then…” decision rules which control the decision process and avoid the “black box” effects of many alternative decision support methods. In the proposed Decision Support System, bridges are described by a set of 16 parameters that describe the state of degradation, structure, territory, traffic and network characteristics. To illustrate this Decision Support System, a case study involving Italian roads is presented. The proposed Decision Support System is a flexible tool because it allows updating parameters periodically as a consequence of practice, expertise and management policies.
Bridge engineering, decision support systems; multiple criteria decision analysis; dominance-based rough sets; decision-making; bridge management; network bridge level, dominance-based rough sets, Building and Construction, decision-making, bridge management, TG1-470, TE1-450, decision support systems, multiple criteria decision analysis, network bridge level, Highway engineering. Roads and pavements, Civil and Structural Engineering
Bridge engineering, decision support systems; multiple criteria decision analysis; dominance-based rough sets; decision-making; bridge management; network bridge level, dominance-based rough sets, Building and Construction, decision-making, bridge management, TG1-470, TE1-450, decision support systems, multiple criteria decision analysis, network bridge level, Highway engineering. Roads and pavements, Civil and Structural Engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
