This study addresses the difficulty of the second national soil survey map in accurately reflecting soil distribution patterns in plain areas affected by land-use change. Within the SCORPAN framework, a soil map updating method is proposed by integrating soil type change mapping with zonal digital soil mapping. Dafeng District, a coastal plain area in eastern China, was selected as the study area. Virtual sampling points extracted from the existing soil map were used as the training dataset, while field-collected soil samples served as the independent validation dataset. Three mapping strategies were designed: Strategy A, direct mapping based on the second soil survey map; Strategy B, mapping incorporating land-use change; and Strategy C, mapping based on Strategy B with the addition of parent material zoning. Results showed that soil types in Dafeng District exhibited directional changes driven by human activities. The overall accuracy and Kappa coefficient were 19.01% and 0.06 for Strategy A, 55.37% and 0.37 for Strategy B, and the highest, 67.77% and 0.54, for Strategy C. The findings demonstrate that zonal modeling can effectively improve the mapping accuracy of soil maps in coastal plain regions, providing a valuable reference for soil map updating in similar areas.