Heritage corridors possess multiple values, including recreation, ecological conservation, and cultural preservation, and serve as important carriers for the relational conservation and adaptive reuse of historic urban areas. Existing route planning approaches mainly rely on the geospatial analysis of physical elements and pay limited attention to public participation. This study proposes a heritage corridor route planning method that integrates physical semantics and social semantics, and establishes a technical pathway combining the Minimum Cumulative Resistance (MCR) model and social network analysis to balance spatial continuity and accessibility with public attention and perceptual preferences.First, based on four categories of functional nodes-heritage sites, park green spaces, leisure and recreation areas, and cultural facilities-resource points that are closely related to traditional heritage and receive high public attention are selected according to heritage protection level, spatial distance, and online word-frequency characteristics. Second, a suitability evaluation system is constructed from three dimensions: historical culture, functional support, and spatial environment. A comprehensive resistance surface is generated through GIS-based spatial analysis, and preliminary physical-semantic routes are derived using the MCR model based on the selected resource points. Third, a co-occurrence matrix is built from digital footprint data to generate a social network structure and identify semantic clusters, which are then spatially mapped in GIS to form preliminary social-semantic routes. Finally, the physical-semantic and social-semantic routes are adjusted and overlaid to obtain the final planned corridors.The application of the proposed method to the historic urban area of Guangzhou shows that, compared with existing heritage trails and MCR-based routes relying solely on physical geographic factors, the corridor network incorporating social semantics demonstrates improvements in the number of nodes, network circuitry, connectivity, and structural complexity. While maintaining basic accessibility, the resulting routes better reflect actual public use paths and preferred nodes.