To avoid the subjectivity and incapable of dealing with high dimensional dataset arise from conventional methods, this paper proposed a new methodology based on "Projection Pursuit Model (PPM)" to evaluate the development of resource-saving and environment-friendly society. Firstly, taking Wuhan as a case, evaluation index system was built according to four separate sub-systems that contain the resource, the environment, the economy and the society. Secondly, with the samples from the collection of quantitative data (2000-2009) in Wuhan, the multi-dimension values of the evaluation index of were synthesized into one dimension projection data. Thirdly, Accelerate Genetic Algorithm was introduced to optimize the function and seek the optimum projection vector. Fourthly, according to the projection values and the optimum projection vector, the development of resource-saving and environment-friendly society in Wuhan from 2000 to 2009 and the effect of the selected indexes on the development of resource-saving and environment-friendly society in Wuhan, were determined, respectively. Results indicated that the development of resource-saving and environment-friendly society in Wuhan from 2000 to 2009 presented a trend of accelerated growth. And the Coverage Rate of Green Area in Developed Area, the Per capita Public Green Areas, the Proportion of Tertiary Industry in GDP, the Excellent rate of air quality, the Number of Hospital Beds per 1000 population, the Reuse Rate of water use by Industry, the College Students Enrollment per 10000 population, the Unit GDP Energy Consumption, and the per 10000 Capital Public Vehicles were the main driving forces. Finally, corresponding countermeasures and suggestions are put forward to the development of resource-saving and environment-friendly society. Results also showed that the Projection Pursuit Model may served as an alternative method in evaluating the development of resource-saving and environment-friendly society of Urban Area.