As linear anthropogenic infrastructure embedded within natural landscapes, roads had extensive impacts on wildlife survival via habitat fragmentation, behavioral avoidance, and increased mortality risks from vehicle collisions. Understanding the differential responses of sympatric species to roads, and how heterogeneous distribution of habitat factors affected the tolerance of species to roads could provide important information for mitigating the impact of roads on wildlife and adjusting interspecies relationships through habitat rehabilitation. However, this aspect remained poorly explored. To address this gap, from November 2022 to October 2024, we deployed camera traps along distance gradients in Shanxi Tieqiaoshan Provincial Nature Reserve to collect data, quantifying the impact of the county road X337 on spatial distribution and alterations in daily activity rhythms for red foxes (Vulpes vulpes) and leopard cats (Prionailurus bengalensis) respectively. Using a geographically weighted regression (GWR) model, we investigated how the heterogeneous distribution of habitat factors affected the road tolerance of the target species. Our findings showed that the county road exerted a 300-meter effect zone on both red foxes and leopard cats. However, red foxes exhibited significantly higher relative abundance within the effect zone compared to areas outside this threshold (P<0.05). In contrast, leopard cats demonstrated the opposite trend and showed notably different daily activity rhythms inside versus outside the effect zone. The results of the GWR model indicated that the relationship between red foxes and environmental variables exhibited stronger spatial non-stationarity than that of leopard cats, suggesting red foxes had a greater ability to adapt their activity patterns to road interference. These results demonstrated that red foxes exhibit significantly higher tolerance of road disturbances than leopard cats. Furthermore, the spatial distribution map of regression coefficients for each variable, obtained through spatial interpolation, showed that the positive effects of factors like altitude and vegetation coverage on wildlife distribution increase as the distance from the county road decreases. This indicated that when animals were active near roads, they tended to choose locations with higher elevation and more dense vegetation to avoid road disturbances. In other words, the result implied that natural environmental factors partially facilitated wildlife's tolerance of road disturbances. The study revealed the impacts of human-modified landscapes on the animal spatial-temporal distributions and highlighted the effectiveness of the GWR model in uncovering spatial heterogeneity in wildlife-environment relationships. These findings provided novel insights into the tolerance mechanisms of sympatric species to road disturbances.