Conducting research on urban building thermal comfort using traditional methods is timeconsuming and labor-intensive, and obtaining high-quality data over a large area is difficult. Moreover, the accuracy of publicly available climate data and building parameter data may be insufficient, affecting the research results. When dealing with complex data, errors may arise, necessitating further validation and empirical research. ArcGIS is a geographic information system software used for processing and analyzing geographic data, while building parameters encompass factors such as building morphology, materials, and greening. By conducting research on improving urban building thermal comfort based on ArcGIS and building parameters, a basis for policy formulation and implementation can be provided, guiding urban planning and architectural design. This study investigates improvement measures for urban building thermal comfort based on ArcGIS and building parameters. The classification of sample data required for urban building thermal comfort research is provided, and by combining logistic regression with ArcGIS spatial statistics and spatial analysis, influencing factors of urban building thermal comfort are explored from different perspectives, enhancing the comprehensiveness and depth of the study. A human thermal comfort model within urban buildings is constructed, and the principles for constructing an adaptive thermal comfort model are presented. Experimental results validate the effectiveness of the proposed method.