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Management of Urban Road Infrastructure Projects - Decision Support Concept to Maintenance Planning


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DOI: https://doi.org/10.15866/irece.v5i5.3370

Abstract


Focus of this research is in improvement of decision-making processes during planning phase of road infrastructure maintenance projects within urban environment. This decision-making processes belong to complex and ill-defined problems because of several reasons such as a lots of stakeholders, multi-disciplinarity, huge quantity of information, limited resources, conflicting goals and criteria. In order to cope with such complexity this research proposes a decision support concept to help project managers (decision-makers/maintenance planners). Concept is based on multicriteria methods and Artificial Neural Networks (ANN). Because of huge quantity of data to be processed and because of spatial character of urban road infrastructure GIS (Geographic Information System) application is introduced as data base management system. The main outcome of a proposed concept is priority ranking of urban road infrastructure elements (within study area) according to importance and necessity to undertake maintenance activities on them. Priority ranking list stands as a good base for decision-making within planning processes related to management of maintenance projects. The methodology is tested on road infrastructure of the city of Trogir, Croatia.
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Keywords


Maintenance; Project Management; Planning; Decision Support; Artificial Neural Networks; Muticriteria Methods; AHP; SAW

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