The present undergraduate paper proposed to obtain a new rainfall intensity factor (nd), which represents the average percentage of days paralyzed in execution of road infrastructure works, due to rainfall, for the state of Tocantins. The factor determined by the SICRO manual (2017) is applied to the direct cost of execution of a service impacted by rainfall, where a single monthly average value was determined for the entire state of Tocantins. The methodology consisted of applying the assumptions adopted by the manual to obtain the nd for 34 rainfall stations, with a historical series from 2001 to 2017, except for 2007 and 2008, located within the limits of Tocantins and near the state boundaries. The geostatistical interpolation method of empirical bayesian kriging was used to know the behavior of the factor over the territory, for monthly mean values of nd and for an annual mean value. The mowing service was chosen to apply the nd, since it is used to obtain the level of mowing effort, which determines the frequency of the execution of a service, as proposed by DNIT PRO 182 (2018). The annual quantities and the execution cost of mowing service, were estimated for BR-010, located in the urban perimeter of Palmas/TO, based on SICRO unit cost tables, for three scenarios: annual nd mean value and the level of mowing effort suggested by SICRO; value of the annual nd mean and effort level obtained through this paper and through the application of the monthly nd average. The results indicated that the value of the rainfall intensity factor suggested for the state of Tocantins presents distortions that mischaracterize the objectives of predicting the paralyzed days, since the methodological inconsistencies produced a nd mean lower than it was found in this study and for services performed with a lower frequency, in months with distinct rainy behavior, and/or performed singly, it is recommended to consider the monthly variation on the estimation of the service’s cost.
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