An integrated multi-criteria decision analysis and optimization 2 modeling approach to spatially operational road decisions
Date
2020
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Article
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Abstract
This study developed a generic cost-effective approach for spatially explicit decision support 30 involved in the allocation of road repair treatments under mountainous conditions. The approach 31 begins with an assessment of the existing road conditions in order to identify the extent of 32 environmental impacts and to set rehabilitation priorities in a subjective manner of group 33 decision making. An integer programming model is, therefore, formulated by integrating expert 34 knowledge with operational costs to guide repair schedules and repair regimes required to each 35 segment at the operational planning level. To demonstrate the model performance, we applied it 36 to a case study comprising 289 km of paved roads in the central highlands of the Hyrcanian 37 forests, in the northern part of Iran. Sensitivity of inputs such as weights verification, budgetary 38 limitations, and rehabilitation weights were tested. Results of the subjective analysis showed that 39 76% of the road analyzed in these forests must be prioritized to receive treatments as intended 40 for forest logistic purposes. Incorporating the extent of environmental impacts into operational 41 costs provided an optimal tradeoff curve caused by selecting an appropriate treatment for each 42 segment across the road network. The approach demonstrate here can be used to design detailed 43 alternative solutions for addressing spatially road decisions under various terrain conditions
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Keywords
Spatial road decision, Upgrading, Environmental impacts, Uncertainty, Tradeoffs curve, Optimization