Due to the existing transport risk on hazardous materials transportation, it is very essential to prevent risk agglomeration over the most frequently used edges of the intercity road network. Although, there are many approaches for risk distribution over the network, but the main concern is to select the best approach. Therefore, three different techniques including bounded proportional risk, minimizing the maximum loaded risk, and minimizing risk absolute errors have been investigated through developing their proposed risk distribution models. After developing corresponding models, the well-known criterion of risk variation (total variance) has been selected for comparing the performances of three techniques. In order to check the proposed models’ validities, the medium size of Guilan intercity road network, located at the northern part of Iran, including 46 nodes and 126 two-way edges has been selected as case study. Three mathematical models have been run using experimental data of network structure as well as Hazmat Origin-Destination matrix and results revealed that the minimizing the maximum loaded risk technique is the best one for risk distribution over the intercity road network in Hazmat transportation.