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• W634381241 abstract "Basic road maintenance stands for the routine operation and periodic rehabilitation of the existing network. At the Finnish Road Administration (Finnra), basic maintenance is organized into various products according to different types of maintenance activities and asset types. Resource allocation among the different products has been based on fixed strategic principles and rather stable percentages. Separate product-specific analyses indicate competing funding needs that cannot be satisfied simultaneously with scarce funding. Thus, there is an increasing demand for analytical methods to support the complex resource allocation processes. Resources give means to perform maintenance activities, which change the physical conditions on the road network, which have impacts on road users and societies. Ideally, measurement of these impacts at end of this chain, objectives set for them and trade-off preferences for their achievement should serve as the steering mechanism for allocation decisions taken at the beginning of the chain. This report describes a method developed to support network-level resource allocation among maintenance products in view of multiple impact dimensions and a medium long time horizon of 5 years. The method builds on the modelling of the chain funding - physical state - impacts, and it enables the analysis of alternative funding allocations based on trade-offs between the multiple impacts. The report describes a generic concept and a computational model to implement it, as well as illustrative results based on real data. In the model, each product is assigned an allowed funding interval around its current annual funding level. Expected development of each product's physical state indicators and the subsequent development of the impact measures are evaluated for seven discretized funding alternatives within each product-specific interval. The evaluation determines network-level impact potentials for each product with regard to four impact dimensions: improvement of road safety, asset value preservation, improvement of customer satisfaction and minimization of driving costs. By applying the principles of recently developed Robust Portfolio Modelling (RPM) portfolio decision analysis methodology, the model suggest sets of efficient allocations based on incomplete weighting of the different impact dimensions. Key results of the model are core index tables and impact potential graphs. The core index tables show which are the efficient funding intervals for the different products and how the funding should be shifted from its current level. The impact potential graphs show how much of each impact can be achieved with different funding levels and how the change of weighting changes the achievement levels. The model can be used for the analysis of a zero-sum game, i.e., (re)allocation of current total budget, as well as the allocation of marginal cuts/increases, if the total budget changes. The generic concept and the implemented computational model provide a solid basis for further development of the measurement of maintenance impacts and analytical tools to support resource allocation processes. Suggested next steps include an in-depth operationalization of network level impacts and the technical product evaluations. The results provide important quantitative support for strategic decision making and communication alike. This report may be found at http://alk.tiehallinto.fi/julkaisut/pdf2/3201152-v-tienpitopaatoksenteko_mopt.pdf" @default.
• W634381241 created "2016-06-24" @default.
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• W634381241 date "2009-01-01" @default.
• W634381241 modified "2023-09-24" @default.
• W634381241 title "Supporting road maintenance resource allocation and strategic decision making with multiple criteria decision analysis" @default.
• W634381241 hasPublicationYear "2009" @default.
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