Highways are an important landscape type and have brought significant economic benefits to communities. However, highway construction may adversely affect wildlife survival through habitat fragmentation, degradation, loss, and reduced connectivity. This can then lead to declines in wildlife populations and to the loss of biodiversity. Wildlife corridors are thought to be an efficient way to mitigate the isolation and fragmentation of habitat caused by highway construction and can provide safety avenues for wildlife movement between habitat patches, which facilitates gene dispersal and interflow. However, there has been little research on wildlife corridor design in China, compared to the western, developed countries. Most previous studies have focused on theoretical discussions on the types, size, design principles, and procedures for corridor construction, but the location, which is the key factor affecting corridor use by wildlife, has rarely been discussed. We propose a new method, based on animal movement path identification, for wildlife corridor design, and have undertaken a case study of the Wuhan-Shenzhen Highway. Based on previous studies and wildlife resources of the study area, six indicators, which have been shown to significantly affect wildlife habitat selection, were chosen for our habitat suitability model. We used the model and GIS to assess the suitability of wildlife habitat around the highway and then identified the potential movement path of wildlife by using hydrologic analysis. According to that, five ideal locations were suggested by overlaying the movement paths on the highway, and landscape pattern indices were used to evaluate the efficiency of the proposed corridor location at the landscape level. Our proposed method could quantitatively reflect the ecological relationship between habitat characteristics and wildlife movement, and the critical areas used by wildlife to cross the highway could be precisely identified. Hence, the proposed corridor location could improve wildlife movement connectivity among spatially separated habitats and effectively alleviate the ecological pressure of habitat fragmentation caused by highway construction. Our proposed method could reduce the influence of subjective factors in the decision-making process, and make it possible to acquire and analyze a large amount of environmental data rapidly by using GIS and Analytic Hierarchy Process (AHP). Moreover, by analyzing the landscape patterns of suitable habitats, we could effectively assess the ecological function of the proposed corridor, which was often overlooked in previous studies. Thus, our study could fill a gap in wildlife corridor design, and provide insights for further research related areas, such as urban ecological planning and road network design.