In order to evaluate expressway slope stability rapidly and accurately based on a small amount of indoor and field tests during initial survey

this paper presents a new slope stability assessment method. Based on slope data from Fujian expressways

field slope stability condition was investigated

and 14 factors that might affect the slope stability were collected; then the Logistic stepwise regression was used to select significant factors

and finally a slope stability evaluation Logistic regression model with significant factors as independent variables and field slope stability condition as dependent variable was established. This model meets goodness-of-fit test

it is very stable

and its predictive results are very accurate. Moreover

the factors investigated are relatively easy to obtain; the model can handle qualitative variables; it can also assess the slope stability conveniently and rapidly. Thus

the Logistic regression method for slope stability evaluation can be widely applied to expressway slope engineering.