In this study, the influence of urbanization on extreme hot events in Shanghai during 1984-2014 was investigated using PCA and URM method. A regression equation was established based on urbanization development indicators and the extreme high temperature index to quantify the impacts of urbanization development on extreme hot events. It was indicated energy consumption, industrial structure and the underlying surface properties were the top three of nine main factors affecting the development of urbanization in Shanghai. The extreme high temperature index highly related to the urbanization development indicators with a high but variable correlation coefficient (CC), suggesting urbanization development significantly influence the extreme high temperature events but in a nonlinear way. We equated their relationship by linear, quadratic and cubic regression equations. Our study provided an effective way to quantify the impact of urbanization on extreme high temperature.