Transport plays an important role in the history of human civilization and social development, which joins geographical spaces and social economic activities. The transport superiority degree is one of the assessment indexes for the major function regions zoning of our country. The study on Chinese major function regions zoning which oriented transport superiority degree analysis method is of great importance for the major function regions zoning of provinces. By using GIS technology and combined with Hebeis local conditions, we used latest administrative division data, based on geographic database and statistical data of 147 counties of Hebei Province to compute the transport superiority degree. First, the transport dominance computation model is established in this paper. Then density, proximity and accessibility of Hebei Province are analyzed quantitatively and qualitatively. We determined the weights of three indexes by using analytic hierarchy process, and they are 0.267, 0.404 and 0.329. At last, the comprehensive evaluation on the transport superiority degree for each county is achieved. By contrast, the regions of the highest transport superiority degree of Hebei Province concentrate in Shijiazhuang, Qinhuangdao, Tangshan, Handan and their nearby towns. Northern mountain area of Hebei, which merely account for 19% of the total area of the province, has a lower transport superiority degree. Thus, the government should make great efforts to improve the transportation condition in northern mountain area of Hebei, so as to narrow the economic development gap to realize the coordinated development within different regions of Hebei. The majority region of Hebei, which is about 59.2% of the total area, have the middle level or a little better in transport superiority degree, and the level of traffic is comparatively well in Hebei. The result maps reveal the regional difference and the distribution pattern of Hebei, and the result of this paper is provided as reference for traffic planning and major function regions zoning. Furthermore, the per-capita GDP and the transport superiority degree of every county was compared and analyzed. The computation result is that the per-capita GDP of 2006 presents a not very strong positive correlation with the transport superiority degree for each county with a correlative coefficient of 0.408.