Based on GIS technology, this study conducted 3D modeling of the core urban area of Harbin and constructed a landscape visual sensitivity evaluation model, thereby achieving the quantitative analysis of visual features. Eye-tracking experiments were then conducted on streets within the study area to measure their identifiability. Further, SPSS and other software were used to analyze the relationship between landscape visual sensitivity and identifiability, upon which a three-dimensional street identifiability model was constructed to provide theoretical support and design strategies for urban spatial optimization.