| Small town is one of the important sectors in the city & town system in China. And its development is responsible for the economic and social healthy development. At the same time, Land, as the carrier of small town development and important resource, is the key of small town development. In the recent years, with the economic booming and public policy, small towns in China are facing a huge opportunity yet challenge. Along with the impetus of economy, the areas of small towns are becoming bigger and bigger, even not under control. In this unstoppable process, a lot of farmland has disappeared. Due to the limited resource of farmland, how to evaluate smart sprawl of small towns has become one of the hottest debates in China.However, at present, the evaluation of smart sprawl of small towns pays much attention to qualitative judgment, while neglecting quantitative analysis. So, the results of such evaluation are inevitably lacking of persuasion and cannot be used as the guide to small town planning. Considering the situation, the author tries to establish a more scientific and objective evaluation model to judge whether the land sprawl is smart or not, which will lead smart growth while preventing unlimited expansion.Methodologically, the author adopts combination between analysis and induction. In the beginning, on the basis of analyzing universal theories, the author sums up the impetus and resistance of small town development, mode and form of land growth, and main factors influencing land sprawl. In addition, the author establishes the evaluation model of land growth. Then, the author tries to evaluate the existing situation of three small towns in Wugang city, Henan Province via the model.Furthermore, according to the results of evaluation, the author gives some suggestion and solution and puts forward some universal principles of leading smart growth of small towns in China.The main innovation in the paper is to import quantitative analytical method into judgment of smart sprawl of small towns in order to make the evaluation more rational and objective. |